Sato Koya
| Artificial Intelligence eXploration Research Center | Assistant Professor |
| Department of Informatics | Assistant Professor |
| Cluster I (Informatics and Computer Engineering) | Assistant Professor |
- Profile:
(Latest Update: 16 May, 2021)
Koya Sato received the B.E. degree in electrical engineering from Yamagata University, Yamagata, Japan, in 2013, and the M.E. and Ph.D. degrees from the University of Electro-Communications, Chofu, Japan, in 2015 and 2018, respectively. From 2017 to 2018, he was a Research Fellow (DC2) with Japan Society for the Promotion of Science. He is currently an Assistant Professor with the Tokyo University of Science, Tokyo, Japan. His current research interests include wireless communications, decentralized machine learning, data privacy, and spatial statistics.
Researcher Information
Career
- Oct. 2021 - Present
The University of Electro-Communications, Artificial Intelligence eXploration Research Center - Apr. 2018 - Sep. 2021
Tokyo University of Science, Faculty of Engineering Electrical Engineering, Assistant Professor, Japan - Sep. 2020 - Mar. 2021
Tokyo Metropolitan College of Industrial Technology, 非常勤講師, Japan - Apr. 2019 - Mar. 2021
The University of Electro-Communications, Advanced Wireless and Communication Research Center, Associate Research Fellow, Japan - Apr. 2017 - Mar. 2018
Japan Society for the Promotion of Science, Research Fellow (DC2) - Apr. 2017 - Aug. 2017
Tokyo Metropolitan College of Industrial Technology, 非常勤講師, Japan
Educational Background
- Apr. 2015 - Mar. 2018
The University of Electro-Communications, Graduate School of Informatics and Engineering, Department of Computer and Network Engineering, Japan - Apr. 2013 - Mar. 2015
The University of Electro-Communications, Graduate School of Informatics and Engineering, Department of Computer and Network Engineering, Japan - Apr. 2011 - Feb. 2013
Yamagata University, Faculty of Engineering, Department of Electrical and Electronic Engineering, 三年次編入, Japan - Apr. 2006 - Apr. 2011
Sendai National College of Technology, Department of Electronical Engineering, Japan
Member History
- Apr. 2019 - Present
Committee member, Technical committee of Smart Radio, IEICE - Jun. 2024 - Jun. 2024
TPC Member, IEEE ICC2024, Society - Mar. 2021 - Dec. 2021
Local Arrangement Vice Chair, IEICE International Conference on Emerging Technologies for Communications (ICETC 2021) - Mar. 2020 - Dec. 2020
Local Arrangement Vice Chair, IEICE International Conference on Emerging Technologies for Communications (ICETC 2020) - 28 Jan. 2020 - 31 Mar. 2020
検討委員会委員, ダイナミック周波数共用に資する5Gのユースケース実証に関する調査検討の調査検討委員会, Government - Apr. 2019
専門委員, 電子情報通信学会スマート無線研究会, Society
Research Activity Information
Award
- Oct. 2023
IEEE VTS Tokyo/Japan Chapter, 本賞は、国際会議IEEE 2023-Fallにおいて発表された論文に対して、学生による発表を奨励する賞としてIEEE VTS Tokyo / Japan Chapterから与えられるもので、今回は18名に授与されました。
On Adaptive Client/Miner Selection for Efficient Blockchain-Based Decentralized Federated Learning
IEEE VTS Tokyo/Japan Chapter 2023 Young Researcher's Encouragement Award, Yuta Tomimasu
International academic award - Sep. 2023
Institute of Electronics, Information and Communication Engineers, 電子情報通信学会通信ソサイエティでの献身的活動が認められ、活動功労賞を受賞しました。今回の表彰は、本組織における研究専門委員会運営等に関する貢献に対して授与されたものです。
Communications Society:Distinguished Contributions Award, Koya Sato
Japan society, Japan - May 2017
電子情報通信学会
2016年スマート無線研究会研究奨励賞, 佐藤光哉
Japan society, Japan - Mar. 2016
電子情報通信学会
電子情報通信学会学術奨励賞, 佐藤光哉 - Sep. 2015
IEICE Young Researcher's Award
Japan - Mar. 2015
電気通信大学
平成26年度 電気通信大学学長賞 - Mar. 2015
電気通信大学
平成26年度 目黒会賞
Paper
- On Adaptive Client/Miner Selection for Efficient Blockchain-Based Decentralized Federated Learning
Yuta Tomimasu; Koya Sato
Last, 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), 1-6, Oct. 2023, Peer-reviwed
International conference proceedings, English - Observation Data and 3D Map-based Radio Environment Estimation for Drone Wireless Communications
Shota Yamada; Takeo Fujii; Katsuya Suto; Koya Sato
Last, 2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN), IEEE, 70-75, 04 Jul. 2023, Peer-reviwed
International conference proceedings, English - Performance Analysis for IRS-Assisted SWIPT with Optimal Phase Shift under Spatially Correlated Fading Channels
Masaaki Miura; Katsuya Suto; Koya Sato; Onel Luis Alcaraz López
2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), IEEE, 1-5, Jun. 2023, Peer-reviwed
International conference proceedings, English - Indoor Radio Map Construction via Ray Tracing With RGB-D Sensor-Based 3D Reconstruction: Concept and Experiments in WLAN Systems
Norisato Suga; Yoshihiro Maeda; Koya Sato
Last, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 11, 24863-24874, Mar. 2023, Peer-reviwed
Scientific journal, English - Propagation Graph Representation Learning and Its Implementation in Direct Path Represent
Katsuya Suto, Shinsuke Bannai, Koya Sato, and Takeo Fujii
8th IEEE WCNC International Workshop on Smart Spectrum (IWSS 2023), 1-6, Mar. 2023, Peer-reviwed, True
International conference proceedings, English - Over-the-Air Gaussian Process Regression Based on Product of Experts
Koya Sato
Lead, 2022 IEEE GLOBECOM Workshops: Edge Learning over 5G Mobile Networks and Beyond, IEEE, 1814-1820, Dec. 2022, Peer-reviwed
International conference proceedings, English - Performance Evaluation of Reinforcement Learning based Distributed Channel Selection Algorithm in Massive IoT Networks
Daisuke Yamamoto; Honami Furukawa; Aohan Li; Yusuke Ito; Koya Sato; Koji Oshima; So Hasegawa; Yoshito Watanabe; Yozo Shoji; Song-Ju Kim; Mikio Hasegawa
IEEE Access, IEEE, 10, 67870-67882, Jun. 2022, Peer-reviwed, In recent years, the demand for new applications using various Internet of Things (IoT) devices has led to an increase in the number of devices connected to wireless networks. However, owing to the limitation of available frequency resources for IoT devices, the degradation of the communication quality caused by channel congestion is a practical problem in developing IoT technology. Many IoT devices have hardware and software limitations that prevent centralized channel allocation, and congestion is even more severe in massive IoT networks without a central controller. Therefore, developing a distributed and sophisticated channel selection algorithm is necessary. In previous studies, the channel selection of each IoT device was modeled as a multi-armed bandit (MAB) problem, and a wireless channel selection method based on the MAB algorithm, which is a simple reinforcement learning, was proposed. In particular, it has been shown that the MAB algorithm of tug-of-war (TOW) dynamics can efficiently select channels with much lower computational complexity and power compared with other reinforcement learning-based channel-selection methods. This paper proposes a distributed channel selection method based on TOW dynamics in fully decentralized networks. We evaluate the effectiveness of the proposed method and other distributed channel-selection methods on the communication success rate in massive IoT networks by experiments and simulations. The results show that the proposed method improves the communication success rate more than other distributed channel selection methods even in a dense and dynamic network environment.
Scientific journal, English - Radio Map Extrapolation Using Compensated Empirical CDF Under Interference-Limited Observations
Keita Katagiri; Koya Sato; Kei Inage; Takeo Fujii
IEEE Access, IEEE, 10, 54936-54946, May 2022, Peer-reviwed
Scientific journal, English - Performance of Federated Learning with Local Differential Privacy: Federation or Individual?
Yuta Kakizaki; Koya Sato; Keiichi Iwamura
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 737-738, Jan. 2022, Peer-reviwed
International conference proceedings, English - A Decentralized Machine Learning Scheme with Input Perturbation-Based Differential Privacy
Masakazu Okamoto; Koya Sato; Keiichi Iwamura
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 739-740, Jan. 2022, Peer-reviwed
International conference proceedings, English - Estimation of the Number of Obstacles Based on p-value for V2V Communications
Keita Katagiri; Koya Sato; Takeo Fujii
IEICE International Conference on Emerging Technologies for Communications (ICETC2021), B3, 4, 1-4, 01 Dec. 2021, Peer-reviwed
International conference proceedings, English - Empirical CDF-based power control method for obstructed V2V communications
Keita Katagiri; Koya Sato; Takeo Fujii
IEICE International Conference on Emerging Technologies for Communications (ICETC2021), B3, 3, 1-4, 01 Dec. 2021, Peer-reviwed
International conference proceedings, English - Rate-Adapted Decentralized Learning Over Wireless Networks
Koya Sato; Daisuke Sugimura
Lead, IEEE Transactions on Cognitive Communications and Networking, Institute of Electrical and Electronics Engineers ({IEEE}), 7, 4, 1412-1429, Dec. 2021, Peer-reviwed, This paper proposes a communication strategy for decentralized learning in wireless systems that employs adaptive modulation and coding capability. The main objective of this work is to address a critical issue in decentralized learning based on the cooperative stochastic gradient descent (C-SGD) over wireless systems: the relationship between the transmission rate and the network density influences the runtime performance of learning. We first present that a dense network topology does not necessarily benefit the iteration performance of learning than a sparse one. However, it tends to degrade the runtime performance because the dense network topology requires a low-rate transmission. Based on these findings, a communication strategy is proposed in which each node optimizes its transmission rate to minimize communication time during the C-SGD under the constraints of network density. We perform numerical simulations of an image classification task under both independent and identically distributed (i.i.d.) and non-i.i.d. settings. The simulation results reveal that the preferred setting for the network density depends on the channel conditions and the biases in the training samples. Furthermore, numerical simulations of an automatic modulation classification task indicate that the preferred setting is almost the same even if the training task is different.
Scientific journal, English - Clustering for Signal Power Distribution Toward Low Storage Crowdsourced Spectrum Database
Yoji Uesugi; Keita Katagiri; Koya Sato; Kei Inage; Takeo Fujii
IEICE Transactions on Communications, Institute of Electronics, Information and Communications Engineers ({IEICE}), E104-B, 10, 1237-1248, Oct. 2021, Peer-reviwed
Scientific journal, English - Dynamic Radio Map Using Statistical Hypothesis Testing
Keita Katagiri; Koya Sato; Kei Inage; Takeo Fujii
IEEE Transactions on Cognitive Communications and Networking, Institute of Electrical and Electronics Engineers ({IEEE}), 7, 3, 752-766, Sep. 2021, Peer-reviwed
Scientific journal, English - Performance Evaluation of High-Speed Channel Assignment in Dense Wireless Wireless LANs by Coherent Ising Machine
Kota Hashimoto; Komei Kurasawa; Yusuke Ito; Aohan Li; Koya Sato; Mikio Hasegawa; Kensuke Inaba; Hiroki Takesue; Kazuyuki Aihara
17th International Conference on Multimedia Information Technology and Applications (MITA2021), 1-1, Jul. 2021, Peer-reviwed
International conference proceedings, English - Deterministic Video Streaming with Deep Learning Enabled Base Station Intervention for Stable Remote Driving System
Kohei Kato; Katsuya Suto; Koya Sato
IEEE ICC 2021 Workshop on Time-sensitive and Deterministic Networking (TsDN), 1-6, Jun. 2021, Peer-reviwed
International conference proceedings, English - Image-Driven Spatial Interpolation with Deep Learning for Radio Map Construction
Katsuya Suto; Shinsuke Bannai; Koya Sato; Kei Inage; Koichi Adachi; Takeo Fujii
IEEE Wireless Communications Letters, Institute of Electrical and Electronics Engineers ({IEEE}), 10, 6, 1222-1226, Jun. 2021, Peer-reviwed
Scientific journal, English - A High-Speed Channel Assignment Algorithm for Dense IEEE 802.11 Systems via Coherent Ising Machine
Komei Kurasawa; Kota Hashimoto; Aohan Li; Koya Sato; Kensuke Inaba; Hiroki Takesue; Kazuyuki Aihara; Mikio Hasegawa
IEEE Wireless Communications Letters, Institute of Electrical and Electronics Engineers ({IEEE}), 10, 8, 1-1, May 2021, Peer-reviwed
Scientific journal, English - Coherent Ising Machine Based Optimal Channel Allocation and User Pairing in NOMA Networks
Teppei Otsuka; Komei Kurasawa; Zengchao Duan; Aohan Li; Koya Sato; Hiroki Takesue; Kazuyuki Aihara; Kensuke Inaba; Mikio Hasegawa
2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 1-4, Apr. 2021, Peer-reviwed
International conference proceedings, English - A Channel Selection Algorithm Using Reinforcement Learning for Mobile Devices in Massive IoT System
Honami Furukawa; Aohan Li; Yozo Shoji; Yoshito Watanabe; Song-Ju Kim; Koya Sato; Yiannis Andreopoulos; Mikio Hasegawa
2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), 1-2, Jan. 2021, Peer-reviwed, It is necessary to develop an efficient channel selection method with low power consumption to achieve high communication quality for distributed massive IoT system. To this end, Ma et al. [1] proposed an autonomous distributed channel selection method based on the Tug-of-War (ToW) dynamics. The ToW-based method can achieve equivalent performance to UCB1-tuned [2], [3] with low computational complexity and power consumption, which is recognized as a best practice technique for solving multi-armed bandit (MAB) problems. However, Ref. [1] only considered fixed IoT devices with simplex communication.
International conference proceedings, English - Space-Frequency-Interpolated Radio Map
Koya Sato; Katsuya Suto; Kei Inage; Koichi Adachi; Takeo Fujii
Lead, IEEE Transactions on Vehicular Technology, Institute of Electrical and Electronics Engineers ({IEEE}), 70, 1, 714-725, Jan. 2021, Peer-reviwed
Scientific journal, English - A Semi-Centralized Trust-Based Routing for Wireless Networks
Kenta Nagao; Yuma Shibasaki; Koya Sato; Keiichi Iwamura
IEICE International Conference on Emerging Technologies for Communications (ICETC2020), 1-1, Dec. 2020, Peer-reviwed
International conference proceedings, English - Highly Accurate Prediction of Radio Propagation Based on Compensation of Clutter Loss for Spectrum Sharing
Sunao Miyamoto; Keita Katagiri; Koya Sato; Koichi Adachi; Takeo Fujii
IEICE International Conference on Emerging Technologies for Communications (ICETC2020), 1-1, Dec. 2020, Peer-reviwed
International conference proceedings, English - Implementation and Experimental Evaluation of A Reinforcement-Learning-Based Channel Selection on A Mobile IoT System
Honami Furukawa; Aohan Li; Yozo Shoji; Yoshito Watanabe; Song-Ju Kim; Koya Sato; Yusuke Ito; Yiannis Andreopoulos; Mikio Hasegawa
IEICE International Conference on Emerging Technologies for Communications (ICETC2020), 1-1, Dec. 2020, Peer-reviwed
International conference proceedings, English - Experimental Verification of Shadowing Classification for Radio Map
Keita Katagiri, Koya Sato, Kei Inage, and Takeo Fujii
The 2nd Workshop on 5G and Beyond Technologies for Ultra-Dense Environments (conjunction with IEEE VTC2019-Fall), 1-7, Sep. 2020, Peer-reviwed
International conference proceedings, English - Network-Density-Controlled Decentralized Parallel Stochastic Gradient Descent in Wireless Systems
Koya Sato, Yasuyuki Satoh, and Daisuke Sugimura
Lead, 2020 IEEE International Conference on Communications (IEEE ICC 2020), IEEE, 1-6, Jun. 2020, Peer-reviwed
International conference proceedings, English - Radio Environment Map Construction with Joint Space-Frequency Interpolation
Koya Sato, Kei Inage, and Takeo Fujii
Lead, The 2nd International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2020), 51-54, Feb. 2020, Peer-reviwed
International conference proceedings, English - An AODV-Based Communication-Efficient Secure Routing Protocol for Large Scale Ad-Hoc Networks
Yuma Shibasaki; Koya Sato; Keiichi Iwamura
2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC), 1-6, Jan. 2020, Peer-reviwed
International conference proceedings, English - Clustering of Signal Power Distribution Toward Low Storage Crowdsourced Spectrum Database
Yoji Uesugi; Keita Katagiri; Koya Sato; Kei Inage; Takeo Fujii
IEEE VTC2019-Fall Workshop on 5G and Beyond Technologies for Ultra-Dense Environments, 1-6, Sep. 2019, Peer-reviwed
International conference proceedings, English - Highly Accurate Prediction of Radio Propagation Using Model Classifier
Keita Katagiri; Keita Onose; Koya Sato; Kei Inage; Takeo Fujii
2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 1-5, May 2019, Peer-reviwed
International conference proceedings, English - Experimental Verification of Frequency-Correlation in Radio Propagation Characteristics for Radio Environment Recognition
Keita Onose; Takeo Fujii; Kei Inage; Koya Sato
2019 International Conference on Information Networking (ICOIN), 274-278, Jan. 2019, Peer-reviwed
International conference proceedings, English - Power Control exploiting Spectrum Database for V2V Communication Systems
Keita Katagiri; Koya Sato; Takeo Fujii
SmartCom 2018, *, Oct. 2018
International conference proceedings, English - Crowdsourcing-assisted radio environment database for V2V communication
Keita Katagiri; Koya Sato; Takeo Fujii
Sensors, MDPI AG, 18, 4, 1183, 12 Apr. 2018, Peer-reviwed, In order to realize reliable Vehicle-to-Vehicle (V2V) communication systems for autonomous driving, the recognition of radio propagation becomes an important technology. However, in the current wireless distributed network systems, it is difficult to accurately estimate the radio propagation characteristics because of the locality of the radio propagation caused by surrounding buildings and geographical features. In this paper, we propose a measurement-based radio environment database for improving the accuracy of the radio environment estimation in the V2V communication systems. The database first gathers measurement datasets of the received signal strength indicator (RSSI) related to the transmission/reception locations from V2V systems. By using the datasets, the average received power maps linked with transmitter and receiver locations are generated. We have performed measurement campaigns of V2V communications in the real environment to observe RSSI for the database construction. Our results show that the proposed method has higher accuracy of the radio propagation estimation than the conventional path loss model-based estimation.
Scientific journal, English - Poster: Multi-Antenna Successive Interference Cancellation to Improve Reliability of V2V Communication
Tatsuya Ute; Yuta Watanabe; Koya Sato; Takeo Fujii; Takayuki Shimizu; Onur Altintas
2017 IEEE Vehicular Networking Conference (VNC), *, 29-30, Dec. 2017, Peer-reviwed
International conference proceedings, English - Experimental Verification of Frequency Correlation for Radio Environment Recognition Using Crowd Sensing
Keita Onose; Koya Sato; Kei Inage; Takeo Fujii
SmartCom2017, *, Oct. 2017
International conference proceedings, English - Compensation of Survivorship Bias in Path Loss Modeling
Koya Sato; Kei Inage; Takeo Fujii
Lead, 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 1-5, Oct. 2017, Peer-reviwed
International conference proceedings, English - Crowdsourcing-assisted Radio Environment Maps for V2V Communication Systems
Keita Katagiri; Koya Sato; Takeo Fujii
2017 IEEE 86th Vehicular Technology Conference (VTC2017-Fall), 1-5, Sep. 2017, Peer-reviwed
International conference proceedings, English - Radio Environment Aware Computation Offloading with Multiple Mobile Edge Computing Servers
Koya Sato; Takeo Fujii
Lead, 2017 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), IEEE, 1-5, 2017, Peer-reviwed, In this paper, we discuss a computation offloading in mobile edge computing (MEC) systems. We especially focus on the case where a mobile node sends calculation requests to surrounding access points (APs) that have the computational capability. Unlike wired distributed computing systems, MEC systems suffer from the unstable connectivity due to wireless channel fluctuations such as multipath fading and shadowing effect; there is a possibility that the calculation results disappear by loss of wireless connectivity. In order to maximize the offloading effect in the wireless environment, we propose radio environment aware task allocation methods with predicting wireless connectivity between the mobile node and APs. Especially, we discuss two methods: radio environment map (REM)-based connectivity prediction and distance-based one. Numerical results show that the proposed method can effectively offload the computation tasks compared with conventional methods that ignore the wireless connectivity.
International conference proceedings, English - Impact of Spectrum Database-assisted Any-to-Any Radio Propagation Estimation on Multihop Routing
Koya Sato; Kei Inage; Takeo Fujii
Lead, SmartCom2016, *, May 2016
International conference proceedings, English - Cooperative Distributed STBC Transmission Scheme for Multi-Hop V2V Communications
Cong-Hoang Diem; Koya Sato; Takeo Fujii
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E99-A, 1, 252-262, Jan. 2016, Peer-reviwed, This paper proposes a novel cooperative scheme combining distributed space-time block code (STBC) at physical layer, multiple access protocol at medium access control (MAC) layer and opportunistic routing without complicated routing algorithm for achieving high reliability for vehicle-to-vehicle (V2V) communications. The proposed scheme can reduce interference and collision, and achieve reducing redundant broadcast of safety-related messages for multi-hop vehicular communications on highway. In particular, we propose a novel algorithm of relay selection based-on position, speed and direction of movement to select intermediate vehicle stations (VS) with high contribution according to the transmission direction. Furthermore, in order to reduce interference and collision, we install a new timer to select a master relay vehicle station (MVS) which manages a packet transmission of whole network to trigger and synchronize transmitting timing of relay VSs (RVSs) in each hop. From the results of simulations, we can confirm that the proposed method can achieve reducing the redundant broadcast safety-related messages with keeping the packet loss probability by limiting the retransmission at each VS.
Scientific journal, English - Spectrum Database-assisted Radio Propagation Prediction for Wireless Distributed Networks: A Geostatistical Approach
Koya Sato; Kei Inage; Takeo Fujii
Lead, 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), IEEE, 1261-1266, 2016, Peer-reviwed, The concern over wireless distributed networks (WDNs) such as Machine-to-Machine (M2M) systems and Internet of Things (IoT) has risen. In massive WDNs, it is important to strictly manage the interference power among wireless links: radio propagation prediction between distributed terminals is a critical issue for highly efficient spectrum use. In this paper, we propose a novel radio propagation estimation using spectrum database which collects communication results from mobile terminals. The proposed method focuses on the spatial-correlation of radio propagation characteristics between different wireless links. Using maximum likelihood-based pathloss estimation and Kriging-based shadowing estimation, the radio propagation of the wireless link that has arbitrary location relationship can be predicted. From numerical results, it is shown that the proposed method achieves higher estimation accuracy than the conventional pathloss-based estimation methods. Furthermore, we show that the proposed technique can predict the probability density function (PDF) of the estimation error.
International conference proceedings, English - Poster: A Scheduling Method for V2V Networks Using Successive Interference Cancellation
Yuta Watanabe; Koya Sato; Takeo Fujii
2016 IEEE Vehicular Networking Conference (VNC), IEEE, 1-2, 2016, Peer-reviwed, In this paper, we propose a scheduling method with successive interference cancellation (SIC) for vehicle to vehicle (V2V) networks to improve the reliability and the capacity. SIC is a multi-user detection technique that repeatedly decodes the multiple signals by cancelling the strongest signal by using the detected signal in the previous step. In the proposed distributed scheduling method, the time slots are allocated by using the location information of the vehicles and the estimated signal to interference plus noise ratio (SINR) at multiple receivers for effectively working SIC. The location information can be known by the iterative beacon signal transmitted from each vehicles. The proposed method enables simultaneous detection by SIC. We compare the performance of the proposed scheduling method with random allocation method under multiple peer to peer unicast communication. In addition, we set SINR margin to slot allocation for improving robustness of SIC.
International conference proceedings, English - Poster: Location-Based Distributed Channel Assignment for Communications Among Autonomous Vehicles
Daichi Ishikawa; Koya Sato; Takeo Fujii; Matthias Wilhelm; Haris Kremo; Onur Altintas
2015 IEEE Vehicular Networking Conference (VNC), IEEE, 157-158, Dec. 2015, Peer-reviwed
International conference proceedings, English - Kriging-based Interference Power Constraint for Spectrum Sharing based on Radio Environment Map
Koya Sato; Takeo Fujii
Lead, 2015 IEEE GLOBECOM Workshops (GC Wkshps), IEEE, 1-6, Dec. 2015, Peer-reviwed, This paper proposes a probabilistic interference constraint method with radio environment map (REM) for spectrum sharing. Kriging interpolation is a well-known technique that can optimize the REM accuracy. However, although many researchers have maintained continuous interests in the accuracy of the REM, little study has been done to actually explore the interference constraint considering the estimation error. The proposed method uses ordinary kriging interpolation for the spectrum cartography. According to the predicted distribution of the estimation error, the allowed interference power to the primary user (PU) is approximately formulated. Numerical results show that the proposed method can achieve the probabilistic interference constraint asymptotically. Additionally, we compare the performance of the proposed technique with two methods: limit of the path loss-based method and perfect estimation. From the comparison results, it is shown that the kriging-based method has higher spectrum sharing opportunity than the path loss-based method, even if there are few measurement data.
International conference proceedings, English - Measurement-Based Spectrum Database for Flexible Spectrum Management
Koya Sato; Masayuki Kitamura; Kei Inage; Takeo Fujii
Lead, IEICE Transactions on Communications, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E98-B, 10, 2004-2013, Oct. 2015, Peer-reviwed, In this paper, we propose the novel concept of a spectrum database for improving the efficiency of spectrum utilization. In the current design of TV white space spectrum databases, a propagation model is utilized to determine the spectrum availability. However, this propagation model has poor accuracy for radio environment estimation because it requires a large interference margin for the PU coverage area to ensure protection of primary users (PUs); thus, it decreases the spectrum sharing efficiency. The proposed spectrum database consists of radio environment measurement results from sensors on mobile terminals such as vehicles and smart phones. In the proposed database, actual measurements of radio signals are used to estimate radio information regarding PUs. Because the sensors on mobile terminals can gather a large amount of data, accurate propagation information can be obtained, including information regarding propagation loss and shadowing. In this paper, we first introduce the architecture of the proposed spectrum database. Then, we present experimental results for the database construction using actual TV broadcast signals. Additionally, from the evaluation results, we discuss the extent to which the proposed database can mitigate the excess interference margin.
Scientific journal, English - Average Interference Power Constraint with Measurement-based Spectrum Database
Koya Sato; Takeo Fujii
Lead, 2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), IEEE, 211-216, 2015, Peer-reviwed, In this paper, we propose an interference power constraint method using measurement-based spectrum database for high efficient spectrum sharing. The spectrum database is constructed from measurement radio environment information measured by secondary users (SUs) with mobility, and stores radio environment maps (REMs). This paper focuses on a database-aided communication parameter adaption method which can constraint harmful interference at an edge of communication coverage of a primary user (PU). The proposed method estimates a lower confidence limit of the average received power by using non-parametric bootstrap method. The estimated lower confidence limit is treated as the average value, and the allowed interference power is estimated with cumulative distribution function (CDF) of instantaneous signal-to-interference power ratio (SIR). Simulation results show that the probabilistic protection can be achieved by using the proposed method under the situation with no impact of shadowing in each separated grid. Moreover, the impact of correlated shadowing on the protection ability is evaluated.
International conference proceedings, English - Height Power Estimation with Radio Environment Database in Urban Area
Koji Ichikawa; Hao Wang; Koya Sato; Takeo Fujii
2015 Seventh International Conference on Ubiquitous and Future Networks, IEEE, 935-937, 2015, Peer-reviwed, In this paper, we discuss a prediction model of the received power depending on the receiver antenna height in urban environments. In a spectrum sharing, while Secondary User (SU) can reuse the licensed band of Primary User (PU), SU has the limitation not allowed to cause interference. So the technique of recognizing surrounding radio environment is necessary. Propagation model plays a key role of supporting SU to correctly evaluate the received power of the PU system. The model can help to determine the interference toward PU's system. However, conventional propagation models may cause large error in urban environment. Though it is possible to make a estimation in a real environment with measurement based Database at ground level of the receiver location point, the measurement in higher altitude is difficult. Then a propagation model with combining ground and urban boundary-layer height measurement based Radio Environment Database is proposed to estimate the received power of PU signal.
International conference proceedings, English - Received Power Detection under Multiple ON/OFF Environment for Registering Radio Environment Database
Hao Wang; Koya Sato; Takeo Fujii
2015 International Conference on Information and Communication Technology Convergence (ICTC), IEEE, 446-450, 2015, Peer-reviwed, To improve the spectrum utilization efficiency, a Radio Environment Database (RED) is considered to be used. The received power from primary user at each location is normally provided to the a cognitive radio system. In a conventional method, the transmit status of the primary user is assumed to be always ON for registering the sensed data to the database. In this paper, a temporary change of the primary user for radio environment database is considered, and a multiple ON/OFF detection method is mainly discussed. In this method, we focus on a distribution transition between the ON status and OFF status. To detect the transition point, use CUSUM (cumulative sum) algorithm and GLR (Generalized Likelihood Ratio) algorithm to detect the transition point. Finally, only ON power can be extracted by using the detected transition point and the sensing error reduction is possible.
International conference proceedings, English - Demo: A Field Test of Measurement-based Spectrum Database using Probing Vehicles
Koya Sato; Takashi Kosugi; Masayuki Kitamura; Takeo Fujii
Lead, 2014 IEEE Vehicular Networking Conference (VNC), 205-206, Dec. 2014, Peer-reviwed
International conference proceedings, English - Spectrum Shared Wireless Sensor Networks based on Radio Environment Database
Shunsuke Takagi; Shunta Sakai; Koya Sato; Takeo Fujii
SDR-WInnComm-Europe 2014, 1-5, Nov. 2014, Peer-reviwed
International conference proceedings, English - Parameter Estimation Method of Primary User Using Measurement-based Spectrum Database
Koya Sato; Kei Inage; Takeo Fujii
Lead, 2014 IEEE 11th Consumer Communications and Networking Conference (CCNC), IEEE, 535-536, 2014, Peer-reviwed, This paper proposes a parameter estimation method of primary user using geographical spectrum database consisting of measurement results gathered by secondary nodes. Compared to Model-based database such as FCC's database, the proposed method may enable higher accuracy spectrum sharing between secondary and primary users. Through the measurement experiment, results of the estimation accuracy are confirmed by changing the number of valid spatial data meshes.
International conference proceedings, English - Field Tests of Measurement-based Spectrum Database over TV Bands
Koya Sato; Takashi Kosugi; Masayuki Kitamura; Yuya Ohue; Takeo Fujii
Lead, Proc. of SmartCom 2014, *, Oct. 2013
International conference proceedings, English
MISC
- Decentralized Federated Learning over Wireless Channels: A Review
Koya Sato
Lead, IEICE, Jul. 2022, IEICE Fundamentals Review, 16, 1, 7-16, Japanese, Invited, Introduction scientific journal - Visualization Techniques of Radio Environment
Koya Sato; Takeo Fujii; Katsuya Suto
Lead, IEICE, Dec. 2021, The Journal of IEICE, 104, 12, 1234-1238, Japanese, Invited, Introduction scientific journal, 2188-2355 - A Study on Radio Map Construction via Frequency-Space Interpolation
佐藤光哉; 稲毛契; 藤井威生
2020, 電子情報通信学会大会講演論文集(CD-ROM), 2020, 1349-144X, 202002284544155600 - A Study on Frequency-domain Interpolation of a Radio Environment Map for Bands of Cellular System
小野瀬圭太; 片桐啓太; 佐藤光哉; 稲毛契; 藤井威生
2019, 電子情報通信学会技術研究報告, 118, 421(SR2018 97-120)(Web), 0913-5685, 201902286597368925 - On the Radio Environment Map Construction using Neural Network Residual Kriging
佐藤光哉; 稲毛契; 藤井威生
2019, 電子情報通信学会技術研究報告, 118, 421(SR2018 97-120)(Web), 0913-5685, 201902294759114203 - A Calibration Method for Crowdsensing Based Radio Environment Database
伊藤海峰; 小野瀬圭太; 佐藤光哉; 稲毛契; 藤井威生
2018, 電子情報通信学会技術研究報告, 117, 410(SR2017 94-111), 0913-5685, 201802275832577507 - Accuracy Improvement of Measurement-based Spectrum Database using Self-Organizing Maps
稲毛契; 佐藤光哉; 藤井威生
2017, 電子情報通信学会技術研究報告, 117, 56(SR2017 1-23), 0913-5685, 201702263596240181
Books and other publications
Lectures, oral presentations, etc.
- 空間相関を有する大規模通信路知識マップの低コストシミュレーション法
佐藤光哉; 須藤克弥
Oral presentation, Japanese, IEICEスマート無線研究会
20 May 2024
20 May 2024- 21 May 2024 - 多次元時系列観測の空間相関と端末配置確率幾何特性に着目した位置情報に頼らない時空間データ予測手法の検討
神崎昂紀; 佐藤光哉
Oral presentation, Japanese, 信学総大2024
07 Mar. 2024
04 Mar. 2024- 08 Mar. 2024 - 時空間データ予測における観測コスト削減のためのベイズ最適化に基づく適応的センサ選択法の検討
中村太洋; 佐藤光哉
Oral presentation, Japanese, 信学総大2024
07 Mar. 2024
04 Mar. 2024- 08 Mar. 2024 - [Tutorial] Statistical Inference Based on Gaussian Processes and Its Applications
Koya Sato
Public discourse, Japanese, 第38回信号処理シンポジウム 特別企画：チュートリアルセッション「通信のための確率推論の最前線」, Invited
06 Nov. 2023
06 Nov. 2023- 08 Nov. 2023 - [Requested Talk] Research Trends of Radio Map Applications for the 6G Era
Koya Sato
Invited oral presentation, Japanese, IEICE 無線通信システム研究会, Invited
20 Oct. 2023
19 Oct. 2023- 20 Oct. 2023 - Radio Propagation Graph Representation Learning
Katsuya Suto; Shinsuke Bannai; Koya Sato; Takeo Fujii
Oral presentation, Japanese, IEICE スマート無線研究会
12 Jul. 2023
12 Jul. 2023- 14 Jul. 2023 - [Invited Talk] Federated Learning-Inspired Gaussian Process Regression: Low Latency Design and Its Application to Radio Map Construction
Koya Sato
Invited oral presentation, Japanese, IEICE スマート無線研究会, Invited
12 May 2023
11 May 2023- 12 May 2023 - A Study on Adaptive Client/Miner Selection for Fast and Accurate Blockchain-Decentralized Federated Learning
Yuta Tomimasu; Koya Sato
IEICE スマート無線研究会
12 May 2023
11 May 2023- 12 May 2023 - [Invited Lecture] Modeling of Geospatial Data for Digital Twin Wireless Systems
Koya Sato
Invited oral presentation, Japanese, IEICE スマート無線研究会, Invited
01 Mar. 2023
01 Mar. 2023- 03 Mar. 2023 - [Tutorial] Decentralized Machine Learning over Wireless Networks
Koya Sato
Public discourse, English, The 5th International Conference on Artificial Intelligence in Information and Communication (ICAIIC2023), Invited, IEEE, Bali, Indonesia, International conference
22 Feb. 2023
20 Feb. 2023- 23 Feb. 2023 - A Study on Reinforcement Learning-Based Adaptive Random Walk SGD for Attack-Resilient Decentralized Federated Learning
Masakazu Okamoto, Koya Sato, and Keiichi Iwamura
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会
27 Jan. 2023
26 Jan. 2023- 27 Jan. 2023 - On Low-Latency Distributed Gaussian Process Regression Based on Over-the-Air Computation
Koya Sato
Oral presentation, Japanese, IEICE SITA2022, Domestic conference
30 Nov. 2022
29 Nov. 2022- 02 Dec. 2022 - サーバ上のデータを利用した高精度なプライバシ強化型連合機械学習
柿崎優太; 佐藤光哉; 岩村惠市
Oral presentation, Japanese, 電子情報通信学会技術報告, NS研究会
24 Nov. 2022
24 Nov. 2022- 25 Nov. 2022 - [招待講演] 分散連合機械学習のための無線設計および無線環境の可視化
Koya Sato
Invited oral presentation, Japanese, 2022 IEICE Society Conference, Invited, IEICE, Domestic conference
06 Sep. 2022
06 Sep. 2022- 09 Sep. 2022 - [Invited Talk] Decentralized Federated Learning: Fundamentals, Research Trends and Open Issues in Wireless Channels
Koya Sato
Invited oral presentation, Japanese, 電子情報通信学会情報理論研究会, Invited
18 May 2022
17 May 2022- 18 May 2022 - イメージセンサおよび三次元再構成を用いた屋内電波伝搬シミュレーションの自動化に向けた検討
Koya Sato; Norisato Suga; Yoshihiro Maeda
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, IEICE, Domestic conference
13 May 2022
11 May 2022- 13 May 2022 - On Implementation of Radio Propagation Simulator with Open 3D City Models
Koya Sato
Oral presentation, Japanese, IEICE Tech. Rep., Domestic conference
04 Mar. 2022
02 Mar. 2022- 04 Mar. 2022 - [Invited Lecture] Radio Map Extrapolation Using Compensated Empirical CDF under Interference-Limited Observations
Keita Katagiri; Koya Sato; Kei Inage; Takeo Fujii
Oral presentation, Japanese, IEICE Tech. Rep., Invited
02 Mar. 2022
02 Mar. 2022- 04 Mar. 2022 - [Invited Talk] Visualizing Wireless Environments: An Introduction of Spatial Statistics and Its Extensions to Multi-Dimensional Interpolation
Koya Sato
Invited oral presentation, Japanese, 電子情報通信学会信号処理研究会, Invited
23 Aug. 2021
23 Aug. 2021- 24 Aug. 2021 - 無線環境における送信レート適応化に基づく分散機械学習の高速化
佐藤光哉; 杉村大輔
Oral presentation, Japanese, 電子情報通信学会技術報告, RCS研究会, Domestic conference
16 Jul. 2021
14 Jul. 2021- 16 Jul. 2021 - 入力摂動により差分プライバシを満たす完全分散型機械学習の設計と評価
岡本将一; 佐藤光哉; 岩村惠市
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, Domestic conference
16 Jul. 2021
14 Jul. 2021- 16 Jul. 2021 - 局所差分プライバシを用いたFederated Learningにおける学習精度の評価検討
柿崎優太; 佐藤光哉; 岩村惠市
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, Domestic conference
16 Jul. 2021
14 Jul. 2021- 16 Jul. 2021 - 差分プライバシを適用したFederated Learningにおける学習コストの評価検討
柿崎優太; 佐藤光哉; 岩村惠市
Oral presentation, Japanese, 電子情報通信学会総合大会, Domestic conference
09 Mar. 2021
09 Mar. 2021- 12 Mar. 2021 - 周波数共用のためのアンテナ高差および支配的パスを考慮したクラッタ損失改良型電波伝搬推定
宮本直; 片桐啓太; 佐藤光哉; 安達宏一; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, Domestic conference
20 Nov. 2020
18 Nov. 2020- 20 Nov. 2020 - [パネル討論] 周波数共用におけるデータ駆動型電波伝搬推定の動向と課題
佐藤光哉
Nominated symposium, Japanese, 電子情報通信学会スマート無線研究会, Invited, オンライン, Domestic conference
20 Nov. 2020
18 Nov. 2020- 20 Nov. 2020 - 車車間通信のためのp値を用いた遮蔽車両台数推定法
片桐啓太; 佐藤光哉; 藤井威生
Oral presentation, Japanese, 電子情報通信学会ソサイエティ大会, Domestic conference
16 Sep. 2020
15 Sep. 2020- 18 Sep. 2020 - 実観測型スペクトラムデータベースのためのシャドウイング分類に関する実験的検証
片桐啓太; 佐藤光哉; 稲毛契; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, オンライン, Domestic conference
Jul. 2020 - 電波マップの周波数-空間補間に関する検討
佐藤光哉; 稲毛契; 藤井威生
Oral presentation, Japanese, 電子情報通信学会総合大会, (新型コロナウィルスの影響により現地開催なし), Domestic conference
Mar. 2020 - 信号電力分布クラスタリングによる低容量スペクトラムデータベース
上杉遥司; 片桐啓太; 佐藤光哉; 稲毛契; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, RISING研究会, 文京区, Domestic conference
Nov. 2019 - 大規模モバイルアドホックネットワークにおけるAODVに基づく効率的かつセキュアなルーティングプロトコルの提案
柴崎祐磨; 佐藤光哉; 岩村惠市
Oral presentation, Japanese, 電子情報通信学会技術報告, SeMI研究会, 大阪市, Domestic conference
Jul. 2019 - [依頼講演] 電波環境マップに基づく周波数共用の理論と課題
佐藤光哉
Invited oral presentation, English, 移動通信ワークショップ, Invited, 横須賀, Domestic conference
06 Mar. 2019 - モデル分類器を用いた高精度電波環境推定手法の検討
片桐啓太; 小野瀬圭太; 佐藤光哉; 稲毛契; 藤井威生
Oral presentation, Japanese, 電子情報通信学会, SR研究会, 福島, Domestic conference
Jan. 2019 - ニューラルネットワークおよび空間内挿に基づく電波環境マップ構築に関する一考察
佐藤光哉; 稲毛契; 藤井威生
Oral presentation, Japanese, 電子情報通信学会, SR研究会, 福島, Domestic conference
Jan. 2019 - セルラシステム帯域における電波環境マップの周波数補間法に関する検討
小野瀬圭太; 片桐啓太; 佐藤光哉; 稲毛契; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, 福島, Domestic conference
Jan. 2019 - クラスタリングを用いた分布蓄積型スペクトラムデータベース
上杉遥司; 片桐啓太; 佐藤光哉; 稲毛契; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, 福島, Domestic conference
Jan. 2019 - Power Control exploiting Spectrum Database for V2V Communication Systems
Power Control exploiting Spectrum Database for V2V Communication Systems
Poster presentation, English, SmartCom 2018, Mandarin Hotel, Bangkok, Thailand, Domestic conference
30 Oct. 2018 - Power Control Exploiting Spectrum Database for V2V Communication Systems
Keita Katagiri; Koya Sato; Takeo Fujii
Oral presentation, English, IEICE SmartCom 2018, International conference
Oct. 2018 - 無線環境認識の効率化に向けた電波伝搬特性の周波数相関性の実験的検証
小野瀬圭太; 佐藤光哉; 稲毛契; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, 函館, Domestic conference
Jul. 2018 - 周辺車両情報を用いた信号変動分布の高精度予測に関する検討
片桐啓太; 佐藤光哉; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, 福岡県福岡市, Domestic conference
Jan. 2018 - クラウドセンシングによる無線環境データベース精度向上のためのキャリブレーション手法
伊藤海峰; 小野瀬圭太; 佐藤光哉; 稲毛契; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, 福岡県福岡市, Domestic conference
Jan. 2018 - Experimental Verification of Frequency-Correlation for Radio Environment Recognition Using Crowd Sensing
Keita Onose; Koya Sato; Kei Inage; Takeo Fujii
Poster presentation, English, SmartCom 2017, Rome, Italy, International conference
23 Oct. 2017 - Experimental Verification of Frequency-Correlation for Radio Environment Recognition Using Crowd Sensing
Keita Onose; Koya Sato; Kei Inage; Takeo Fujii
Oral presentation, English, IEICE SmartCom 2017, International conference
Jul. 2017 - V2Vネットワーク信頼性向上のためのマルチアンテナ逐次干渉除去に関する研究
右手達也; 渡辺裕太; 佐藤光哉; 藤井威生; 清水崇之; Onur Altintas
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, 北海道札幌市, Domestic conference
Jul. 2017 - [技術展示]協調型自動運転の通信信頼度向上のための電波環境マップの構築
片桐啓太; 佐藤光哉; 藤井威生
Others, Japanese, 電子情報通信学会スマート無線研究会, 東京都江東区, Domestic conference
25 May 2017 - [技術展示] 協調型自動運転の通信信頼度向上のための電波環境マップの構築
片桐啓太; 佐藤光哉; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, Domestic conference
May 2017 - 自己組織化マップを用いた実観測型電波環境データベースの精度向上に関する検討
稲毛契; 佐藤光哉; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, 東京都江東区, Domestic conference
May 2017 - 屋内無線LANにおける電波伝搬特性の周波数相関性の検証
小野瀬圭太; 佐藤光哉; 稲毛契; 藤井威生
Oral presentation, Japanese, 電子情報通信学会総合大会, 愛知県名古屋市, Domestic conference
Mar. 2017 - モバイルエッジコンピューティングにおける電波環境情報に基づくタスク割り当てに関する検討
佐藤光哉; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, 愛媛県松山市, Domestic conference
Jan. 2017 - Impact of Spectrum Database-assisted Any-to-Any Radio Propagation Estimation on Multihop Routing
Koya Sato; Kei Inage; Takeo Fujii
Oral presentation, English, IEICE SmartCom 2016, Oulu, Finland, Domestic conference
May 2016 - 無線分散ネットワークにおける空間統計学的手法に基づく電波環境データベース連携型電波伝搬特性予測
佐藤光哉; 稲毛契; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, 東京都目黒区, Domestic conference
Mar. 2016 - フェージング環境におけるプライマリユーザ信号の時間的変化を考慮したデータベース精度向上法の検討
王昊; 佐藤光哉; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, 東京都目黒区, Domestic conference
Mar. 2016 - マルチホップ無線センサネットワークにおける優先度付きバッファを用いた情報収集法
バトウルジーツェンドオチル; 佐藤光哉; 藤井威生; 水野晃平
Oral presentation, Japanese, 電子情報通信学会総合大会, 福岡県福岡市, Domestic conference
Mar. 2016 - テレビ帯域における受信信号電力の周波数間相関特性
佐藤光哉; 藤井威生
Oral presentation, Japanese, 電子情報通信学会総合大会, 福岡県福岡市, Domestic conference
Mar. 2016 - 自動運転向け通信のための位置情報に基づくチャネルリソース割り当て手法の検討
石川大地; 佐藤光哉; 藤井威生; Matthias Wilhelm; Haris Kremo; Onur Altintas
Oral presentation, Japanese, ITSシンポジウム2015, 東京都八王子市, Domestic conference
Dec. 2015 - 実観測に基づくセカンダリユーザの送信電力設計法に関する一検討
佐藤光哉; 藤井威生
Oral presentation, Japanese, 電子情報通信学会ソサイエティ大会, 宮城県仙台市, Domestic conference
Sep. 2015 - A Highly Efficient Transmission Scheme for Multi-hop V2V Communications on Highway
Cong-Hoang Diem; Koya Sato; Takeo Fujii
Oral presentation, English, 電子情報通信学会技術報告, SR研究会, 長野県長野市, Domestic conference
Jul. 2015 - 市街地環境における電波環境データベース連携による高さ方向の信号電力推定
市川浩次; 王昊; 佐藤光哉; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, 兵庫県明石市, Domestic conference
May 2015 - クリギング補間を適用した電波環境マップに基づくプライマリユーザの確率的保護に関する検討
佐藤光哉; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, 北海道函館市, Domestic conference
Jan. 2015 - [Demo] Field Tests of Measurement-based Spectrum Database over TV Bands
Koya Sato; Takashi Kosugi; Masayuki Kitamura; Yuya Ohue; Takeo Fujii
Oral presentation, English, IEICE SmartCom 2014, I2R, Singapore, International conference
Oct. 2014 - 周辺無線環境データベースに基づく相互干渉を考慮したチャネル選択法を用いた周波数共用
高木俊輔; 坂井駿太; 佐藤光哉; 藤井威生
Oral presentation, Japanese, 電子情報通信学会ソサイエティ大会, 徳島県徳島市, Domestic conference
Sep. 2014 - 実観測に基づく電波環境データベースを用いた干渉電力設計
佐藤光哉; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, 京都府京都市, Domestic conference
Jul. 2014 - 周波数利用効率向上を目的とした実環境に基づく電波環境データベースの研究
佐藤光哉; 藤井威生
Oral presentation, Japanese, 第586回URSI-F会合, 東京都調布市, Domestic conference
Jun. 2014 - [技術展示]プローブカーを用いた電波環境データベース
佐藤光哉; 大上裕也; 北村優行; 藤井威生
Others, Japanese, 電子情報通信学会スマート無線研究会, 神奈川県横浜市, Domestic conference
22 May 2014 - [技術展示] プローブカーを用いた電波環境データベース
佐藤光哉; 大上裕也; 北村優行; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, Domestic conference
May 2014 - 実測に基づく電波環境データベースを用いたプライマリユーザパラメータ推定法の実験的評価
佐藤光哉; 稲毛契; 藤井威生
Oral presentation, Japanese, 電子情報通信学会技術報告, SR研究会, 宮城県仙台市, Domestic conference
Jan. 2014 - 屋外環境における電波伝搬環境推定への相関シャドウイングの影響
佐藤光哉; 稲毛契; 藤井威生
Oral presentation, Japanese, 電子情報通信学会ソサイエティ大会, 福岡県福岡市, Domestic conference
Sep. 2013 - 圧電素子を用いた振動力発電システムの研究
佐藤光哉; 山田洋
Oral presentation, Japanese, 平成23年電気学会全国大会, Domestic conference
Mar. 2011
Courses
Affiliated academic society
Research Themes
- Development of Localization-Free Spatio-Temporal Data Analysis Infrastructure
Koya Sato
Japan Science and Technology Agency, PRESTO, The University of Electro-Communications, Principal investigator
Oct. 2023 - Mar. 2027 - 知的反射板を活用した情報・電力同時伝送システム
Katsuya Suto
Coinvestigator
Apr. 2022 - Mar. 2027 - DAGRASデータセット：グラフ上データ解析のための高精度データセット構築
田中 雄一; 小野 峻佑; 佐藤 光哉
日本学術振興会, 科学研究費助成事業, 大阪大学, 挑戦的研究(開拓), 23K17461
30 Jun. 2023 - 31 Mar. 2026 - Green Signal and Information Processing for Sustainable Society
田中 雄一; 田中 聡久; 小野 峻佑; 佐藤 光哉
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Osaka University, Grant-in-Aid for Scientific Research (B), 23H01415
01 Apr. 2023 - 31 Mar. 2026 - 深層学習を用いた能動的な新しい食事管理技術の創出
Keiji Yanai
Coinvestigator
Apr. 2022 - Mar. 2026 - 高速・高精度な無線端末間分散機械学習を実現する通信設計
Koya Sato
Principal investigator
Apr. 2022 - Mar. 2025 - A Study on Adaptive Design of Blockchain-Based Federated Learning
Koya Sato
一般社団法人共創, 科学研究支援助成金, Principal investigator
Apr. 2023 - Mar. 2024 - Exploring Wireless Resources via Image Sensor Based Crowdsensing
Koya Sato
Japan Science and Technology Agency, ACT-X, Principal investigator
Oct. 2021 - Mar. 2024 - 将来社会を支える次世代IoTのための有機的レジリエント・セキュア無線ネットワーク
Koji Ishibashi
科学技術振興機構, SICORP EIC-CONCERT-Japan「レジリエント、安全、セキュアな社会のためのICT」, Coinvestigator
Apr. 2021 - Mar. 2024 - Development of wireless resources via multi-dimensional radio environment analysis with crowdsensing mobile terminals
Sato Koya
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, 東京理科大学, Grant-in-Aid for Early-Career Scientists, Principal investigator, We established a multidimensional interpolation method based on big wireless data for received power characteristics. Specifically, the method was extended to joint spatial-frequency interpolation and generalized to any transmission locations, whereas the conventional method only supports spatial interpolation for a fixed base station and single frequency band. Next, a communication scheme utilizing big wireless data was proposed for vehicular communication systems. We showed that the big data-aided communication design improves communication efficiency. Finally, we proposed a fast and accurate data analysis method among terminals using decentralized federated learning as an advanced topic. It was shown that this method efficiently learns wireless channels., 19K14988
Apr. 2019 - Mar. 2022 - Design of Infrastructure-Assisted Secure Routing Protocol toward IoT Era
The Telecommunications Advancement Foundation, 研究調査助成, Tokyo University of Science, Principal investigator
Apr. 2019 - Mar. 2020 - クラウドセンシングを用いた電波伝搬環境の統計化による周波数高効率利用に関する研究
佐藤 光哉
日本学術振興会, 科学研究費助成事業 特別研究員奨励費, 電気通信大学, 特別研究員奨励費, Principal investigator, まず、観測結果に基づく自己組織的電波伝搬モデル化に関する検討を行なった。車車間通信環境では、車両間に存在する車両の有無やその大きさなどによって瞬時受信電力の確率分布の形状が大きく変化する。そこで、周辺環境情報に応じて本確率分布の分類を予め行ない、データベース側で遮蔽車両台数ごとに確率分布を推定する手法について検討した。計算機シミュレーションにより、それぞれの確率分布を精度よく推定できることを示した。 次に、データベースを用いて推定した瞬時受信電力の確率分布に基づく送信電力制御手法について検討した。ここでは、推定した受信信号電力の確率分布をもとに所望の受信信号電力で通信が行なえる確率を保証する送信電力制御手法を提案した。計算機シミュレーションにより、従来の伝搬モデルに基づく手法と比較して平均送信電力を抑制しつつも所望の通信品質を確保でき、本手法が周波数共用効率の向上に寄与しうることがわかった。また、実際の車車間通信実験を通して取得したデータセットを用いて、電力制御に関する評価を行なった。その結果、実環境においても周波数共用効率の向上が可能であることを示した。 最後に、車車間通信を通して取得した瞬時受信電力値のデータセットを用いて、提案するデータベースの性能評価を行なった。ここではUNIX系のデータベースサーバを用いて、観測エリアを数m四方にメッシュ化した上で送信メッシュごとの平均受信電力値マップの構築を行なった。既存の伝搬モデルとの推定精度の比較を行ない、任意の送信位置において、その受信信号電力の場所依存特性を精度よく推定できることを示した。これまで実測値に基づくデータベースの適用対象は固定送信局のみに限られていたが、本検討を通して、車車間通信のように送信者が移動する環境へも拡張可能であり、多くの無線通信システムにおける伝搬予測の精度向上に寄与しうることがわかった。, 17J07568
Apr. 2017 - Mar. 2019
Industrial Property Rights
- 通信信頼度管理サーバ、通信信頼度管理システムおよび通信信頼度管理方法
Patent right, 藤井威生, 佐藤光哉, 片桐啓太, 特願2017-042823, Date applied: 07 Mar. 2017, The University of Electro-Communications, 特開2017-184228, Date announced: 05 Oct. 2017, 特許第6847448号, Date issued: 17 Aug. 2020 - 無線通信システム、中継局装置及び無線通信方法
Patent right, 水野晃平, 吉野修一, 藤井威生, 佐藤光哉, バトウルジーツェンドオチル, 特願2015-144041, Date applied: 21 Jul. 2015, 特開2017-28434, Date announced: 02 Feb. 2017, 特許第6403280号, Date issued: 21 Sep. 2018