SElected publications

• Koya Sato and Koji Ishibashi, "Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression," IEEE Trans. Cogn. Commun. Netw., vol.12, pp.480-496, 2026.
  DOI: 10.1109/TCCN.2025.3562345

• Koya Sato and Katsuya Suto, "Bayesian Optimization Framework for Channel Simulation-Based Base Station Placement and Transmission Power Design," IEEE Netw. Lett., vol. 6, no. 4, Dec. 2024.
  DOI: 10.1109/LNET.2024.3469175

• Koki Kanzaki and Koya Sato, "A Location-Blind Spatial Regression Framework for IoT Monitoring Systems Based on Location Distribution and Spatial Correlation," IEEE Sens. Lett., vol.8, no.9, Art no. 6011404, Sept. 2024.
  DOI: 10.1109/LSENS.2024.3441104

• Koya Sato and Daisuke Sugimura, "Rate-Adapted Decentralized Learning Over Wireless Networks," IEEE Trans. Cogn. Commun. Netw., vol.7, no.4, pp.1412-1429, Dec. 2021.
  DOI: 10.1109/TCCN.2021.3074908 

• Koya Sato, Katsuya Suto, Kei Inage, Koichi Adachi, and Takeo Fujii, "Space-Frequency-Interpolated Radio Map," IEEE Trans. Veh. Technol., vol.70, no.1, pp.714-725, Jan. 2021.
  DOI: 10.1109/TVT.2021.3049894 

• Koya Sato and Takeo Fujii, "Kriging-Based Interference Power Constraint: Integrated Design of the Radio Environment Map and Transmission Power," IEEE Trans. Cogn. Commun. Netw., vol.3, no.1, pp.13-25, Mar. 2017.
  DOI: 10.1109/TCCN.2017.2653189 

Refereed Journal Articles

• "(#)": Corresponding author

• Members in our group are bolded.

1. Shimon Takagi, Koya Sato, and Katsuya Suto (#), "Channel Knowledge Map Construction with Radio Propagation Graph Representation Learning," IEEE Internet Things J., 2026 (Early Access).
   DOI: 10.1109/JIOT.2026.3672928

2. Koya Sato (#) and Koji Ishibashi, "Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression," IEEE Trans. Cogn. Commun. Netw., vol.12, pp.480-496, 2026.
   DOI: 10.1109/TCCN.2025.3562345

3. Kengo Ando (#), Koya Sato, Giuseppe Thadeu Freitas de Abreu, David González G., and Osvaldo Gonsa, "Bayesian Optimization Aided Low-Complexity Beamforming Design for Over-the-Air-Computing," IEEE Internet Things J., vol.12, no.14, July 2025.
   DOI: 10.1109/JIOT.2025.3565855

4. Norisato Suga (#), Naoya Yoshida, Ryotaro Gozono, Yoshihiro Maeda, and Koya Sato, "RGB-D Sensor-Aided Radio Map Estimation Using Materials Classification," IEEE Wireless Commun. Lett., vol.14, no.6, pp.1811-1815, June 2025.
   DOI: 10.1109/LWC.2025.3557794

5. Masaaki Miura, Koya Sato, Ning Zhang, and Katsuya Suto (#), "Fast Reflective Beamforming with Situational Awareness in IRS Assisted Communication Systems," IEEE Access, vol. 13, pp.66338-66353, Apr. 2025.
   DOI: 10.1109/ACCESS.2025.3560183 

6. Koya Sato (#) and Katsuya Suto, "Bayesian Optimization Framework for Channel Simulation-Based Base Station Placement and Transmission Power Design," IEEE Netw. Lett., vol. 6, no. 4, Dec. 2024.
   DOI: 10.1109/LNET.2024.3469175

7. Koki Kanzaki and Koya Sato (#), "A Location-Blind Spatial Regression Framework for IoT Monitoring Systems Based on Location Distribution and Spatial Correlation," IEEE Sens. Lett., vol.8, no.9, Art no. 6011404, Sept. 2024.
   DOI: 10.1109/LSENS.2024.3441104

   • Presented in a poster session at IEEE SENSORS2024.

8. Norisato Suga, Yoshihiro Maeda, and Koya Sato (#), "Indoor Radio Map Construction via Ray Tracing with RGB-D Sensor-Based 3D Reconstruction: Concept and Experiments in WLAN Systems," IEEE Access, vol.11, pp.24863-24874, Mar. 2023.
   DOI: 10.1109/ACCESS.2023.3254912

9. Yuma Shibasaki, Keiichi Iwamura, and Koya Sato (#), "A Communication-Efficient Secure Routing Protocol for IoT Networks," Sensors, vol.22, no.19, 7503, 2022.
   DOI: 10.3390/s22197503

10. Daisuke Yamamoto (#), Honami Furukawa, Aohan Li, Yusuke Ito, Koya Sato, Koji Oshima, So Hasegawa, Yoshito Watanabe, Yozo Shoji, Song-Ju Kim, and Mikio Hasegawa, "Performance Evaluation of Reinforcement Learning based Distributed Channel Selection Algorithm in Massive IoT Networks," IEEE Access, vol.10, pp.67870-67882, Jun. 2022.
    DOI: 10.1109/ACCESS.2022.3186703

11. Keita Katagiri (#), Koya Sato, Kei Inage, and Takeo Fujii, "Radio Map Extrapolation Using Compensated Empirical CDF under Interference-Limited Observations," IEEE Access, vol.10, pp.54936-54946, May 2022.
    DOI: 10.1109/ACCESS.2022.3174702

12. Koya Sato (#)  and Daisuke Sugimura, "Rate-Adapted Decentralized Learning Over Wireless Networks," IEEE Trans. Cogn. Commun. Netw., vol.7, no.4, pp.1412-1429, Dec. 2021. GitHub
    DOI: 10.1109/TCCN.2021.3074908 

• • Errata: After Sect. IV, "connectivity matrix" should be "adjacency matrix" (with self connection).

13. Yoji Uesugi (#), Keita Katagiri, Koya Sato, Kei Inage, and Takeo Fujii, "Clustering for Signal Power Distribution toward Low Storage Crowdsourced Spectrum Database," IEICE Trans. Commun., vol.E104-B, no.10, pp.1237-1248, Oct. 2021.
    DOI: 10.1587/transcom.2020DSP0011 

14. Keita Katagiri (#), Koya Sato, Kei Inage, and Takeo Fujii, "Dynamic Radio Map Using Statistical Hypothesis Testing," IEEE Trans. Cogn. Commun. Netw., vol.7, no.3, pp.752-766, Sept. 2021.
    DOI: 10.1109/TCCN.2020.3047867

15. Komei Kurasawa, Kota Hashimoto, Aohan Li, Koya Sato, Kensuke Inaba, Hiroki Takesue, Kazuyuki Aihara, and Mikio Hasegawa (#), "A High-Speed Channel Assignment Algorithm for Dense IEEE 802.11 Systems via Coherent Ising Machine," IEEE Wireless Commun. Lett., vol. 10, no. 8, pp. 1682-1686, Aug. 2021.
    DOI: 10.1109/LWC.2021.3077311

16. Katsuya Suto (#), Shinsuke Bannai, Koya Sato, Kei Inage, Koichi Adachi, and Takeo Fujii, "Image-Driven Spatial Interpolation with Deep Learning for Radio Map Construction, " IEEE Wireless Commun. Lett., vol.10, no.6, pp.1222-1226, Jun. 2021.
    DOI: 10.1109/LWC.2021.3062666

17. Koya Sato (#), Katsuya Suto, Kei Inage, Koichi Adachi, and Takeo Fujii, "Space-Frequency-Interpolated Radio Map," IEEE Trans. Veh. Technol., vol.70, no.1, pp.714-725, Jan. 2021.
    DOI: 10.1109/TVT.2021.3049894 

18. Koya Sato (#), Kei Inage, and Takeo Fujii, "On the Performance of Neural Network Residual Kriging in Radio Environment Mapping," IEEE Access, vol. 7, no. 1, pp.94557-94568, 2019.
    DOI: 10.1109/ACCESS.2019.2928832

19. Koya Sato (#), Kei Inage, and Takeo Fujii, "Modeling the Kriging-Aided Spatial Spectrum Sharing over Log-Normal Channels," IEEE Wireless Commun. Lett., vol.8, no.3, pp.749-752, Jun. 2019.
    DOI: 10.1109/LWC.2018.2890644

20. Keita Katagiri (#), Koya Sato, and Takeo Fujii, "Crowdsourcing-assisted Radio Environment Database for V2V Communication," Sensors, vol.18, no.4, 1183, 2018.
    DOI: 10.3390/s18041183

21. Rei Hasegawa (#), Keita Katagiri, Koya Sato, and Takeo Fujii, “Low Storage, but Highly Accurate Measurement-based Spectrum Database via Mesh Clustering,” IEICE Trans. Commun., vol.E101-B, no.10, pp.2152-2161, October 2018.
    DOI: 10.1587/transcom.2017NEP0007 

22. Koya Sato (#), Kei Inage, and Takeo Fujii, "Frequency Correlation of Shadowing over TV Bands in Suburban Area," Electron. Lett., vol.54, no.1, pp.6-8, January 2018.
    DOI: 10.1049/el.2017.2164

23. Koya Sato (#) and Takeo Fujii, "Kriging-Based Interference Power Constraint: Integrated Design of the Radio Environment Map and Transmission Power," IEEE Trans. Cogn. Commun. Netw., vol.3, no.1, pp.13-25, Mar. 2017. GitHub
    DOI: 10.1109/TCCN.2017.2653189

24. Cong-Hoang Diem (#), Koya Sato, and Takeo Fujii, "Cooperative Distributed STBC Transmission Scheme for Multi-hop V2V Communications," IEICE Trans. Fundamentals, vol.E99-A, no.1, pp.252-262, Jan. 2016.
    DOI: 10.1587/transfun.E99.A.252 

25. Koya Sato (#), Masayuki Kitamura, Kei Inage, and Takeo Fujii, "Measurement-based Spectrum Database for Flexible Spectrum Management," IEICE Trans. Commun., vol.E98-B, no.10, pp.2004-2013, Oct. 2015.
    DOI: 10.1587/transcom.E98.B.2004 

Refereed International Conference Papers

1. Kakeru Takamori and Koya Sato, "Scalable Base Station Configuration via Bayesian Optimization with Block Coordinate Descent," IEEE INFOCOM2026, Tokyo, Japan, May 2026 (accepted as a poster). [arXiv]

2. Koya Sato, "Mitigating the Impact of Location Uncertainty on Radio Map-Based Predictive Rate Selection via Noisy-Input Gaussian Process," 2025 IEEE GLOBECOM Workshops: Workshop on Radio Maps for Communications and Sensing, Taipei, Taiwan, Dec. 2025. arXiv / Speaker Deck

3. Koki Kanzaki and Koya Sato, "Joint Ex-Post Location Calibration and Radio Map Construction under Biased Positioning Errors," 2025 IEEE GLOBECOM Workshops: Workshop on The Interplay of Digital Twins and Artificial Intelligence for Next-Generation IoT, Taipei, Taiwan, Dec. 2025. [arXiv] 

4. Shimon Takagi, Shinsuke Bannai, Koya Sato, Takeo Fujii, and Katsuya Suto, "Radio Propagation Graph Representation Learning: An Implementation in Multi-Hop Path Representation," IEEE PIMRC2024, Valencia, Spain, Sept. 2024.
   DOI: 10.1109/PIMRC59610.2024.10817399 

5. Yuta Tomimasu and Koya Sato, "On Adaptive Client/Miner Selection for Efficient Blockchain-Based Decentralized Federated Learning," IEEE VTC2023-Fall, HK, Oct. 2023. (IEEE VTS Tokyo/Japan Chapter 2023 Young Researcher's Encouragement Award)
   DOI: 10.1109/VTC2023-Fall60731.2023.10333630

6. Shota Yamada, Takeo Fujii, Katsuya Suto, and Koya Sato, "Observation Data and 3D Map-Based Radio Environment Estimation for Drone Wireless Communications'," ICUFN2023 Workshop on SRIoT, Paris, France, July 2023. IEEE Xplore 

7. Masaaki Miura, Katsuya Suto, Koya Sato, and Onel Luis Alcaraz López, "Performance Analysis for IRS-Assisted SWIPT with Optimal Phase Shift under Spatially Correlated Fading Channels," IEEE VTC2023-Spring, Florence, Italy, June 2023. IEEE Xplore 

8. Katsuya Suto, Shinsuke Bannai, Koya Sato, and Takeo Fujii, "Propagation Graph Representation Learning and Its Implementation in Direct Path Represent," 8th IEEE WCNC International Workshop on Smart Spectrum (IWSS 2023), Glasgow, Scotland, UK, March 2023. IEEE Xplore 

9. Koya Sato, "Over-the-Air Gaussian Process Regression Based on Product of Experts," 2022 IEEE GLOBECOM Workshops: Edge Learning over 5G Mobile Networks and Beyond, Virtual Conference, Dec. 2022. arXiv / IEEE Xplore

10. Masakazu Okamoto, Koya Sato, and Keiichi Iwamura, "A Decentralized Machine Learning Scheme with Input Perturbation-Based Differential Privacy," IEEE CCNC 2022, Virtual Conference, Jan. 2022. IEEE Xplore 

11. Yuta Kakizaki, Koya Sato, and Keiichi Iwamura, "Performance of Federated Learning with Local Differential Privacy: Federation or Individual?," IEEE CCNC 2022, Virtual Conference, Jan. 2022. IEEE Xplore 

12. Keita Katagiri, Koya Sato, and Takeo Fujii, “Empirical CDF-based power control method for obstructed V2V communications,” Proc. IEICE ICETC2021, Virtual Conference, Dec. 2021. IEICE 

13. Keita Katagiri, Koya Sato, and Takeo Fujii, “Estimation of the Number of Obstacles Based on p-value for V2V Communications,” Proc. IEICE ICETC2021, Virtual Conference, Dec. 2021. IEICE 

14. Kota Hashimoto, Komei Kurasawa, Yusuke Ito, Aohan Li, Koya Sato, Mikio Hasegawa, Kensuke Inaba, Hiroki Takesue, and Kazuyuki Aihara, "Performance Evaluation of High-Speed Channel Assignment in Dense Wireless Wireless LANs by Coherent Ising Machine," The 17th International Conference on Multimedia Information Technology and Applications (MITA 2021), Virtual Conference, July 2021.

15. Kohei Kato, Katsuya Suto, and Koya Sato, "Deterministic Video Streaming with Deep Learning Enabled Base Station Intervention for Stable Remote Driving System," IEEE ICC 2021 Workshop on Time-sensitive and Deterministic Networking (TsDN), Virtual Conference, June 2021. IEEE Xplore 

16. Teppei Otsuka, Komei Kurasawa, Zengchao Duan, Aohan Li, Koya Sato, Hiroki Takesue, Kazuyuki Aihara, Kensuke Inaba, and Mikio Hasegawa, "Coherent Ising Machine Based Optimal Channel Allocation and User Pairing in NOMA Networks," ICAIIC 2021, Virtual Conference, Apr. 2021. IEEE Xplore 

17. Honami Furukawa, Aohan Li, Yozo Shoji, Yoshito Watanabe, Song-Ju Kim, Koya Sato, Yiannis Andreopoulos, and Mikio Hasegawa, "A Channel Selection Algorithm Using Reinforcement Learning for Mobile Devices in Massive IoT System," IEEE CCNC 2021, Virtual Conference, Jan. 2021. IEEE Xplore 

18. Honami Furukawa, Aohan Li, Yozo Shoji, Yoshito Watanabe, Song-Ju Kim, Koya Sato, Yusuke Ito, Yiannis Andreopoulos, and Mikio Hasegawa, "Implementation and Experimental Evaluation of A Reinforcement-Learning-Based Channel Selection on A Mobile IoT System," IEICE ICETC 2020, Virtual Conference, Dec. 2020. IEICE 

19. Sunao Miyamoto, Keita Katagiri, Koya Sato, Koichi Adachi, and Takeo Fujii, "Highly Accurate Prediction of Radio Propagation Based on Compensation of Clutter Loss for Spectrum Sharing," IEICE ICETC 2020, Virtual Conference, Dec. 2020. IEICE 

20. Kenta Nagao, Yuma Shibasaki, Koya Sato, and Keiichi Iwamura, "A Semi-Centralized Trust-Based Routing for Wireless Networks," IEICE ICETC 2020, Virtual Conference, Dec. 2020. IEICE 

21. Keita Katagiri, Koya Sato, Kei Inage, and Takeo Fujii,  "Experimental Verification of Shadowing Classification for Radio Map," IEEE VTC 2020-Fall Workshops: The 2nd Workshop on 5G and Beyond Technologies for Ultra-Dense Environments, Virtual Conference, Nov. 2020. (IEEE VTS Tokyo/Japan Chapter 2020 Student Paper Award) IEEE Xplore 

22. Koya Sato, Yasuyuki Satoh, and Daisuke Sugimura, "Network-Density-Controlled Decentralized Parallel Stochastic Gradient Descent in Wireless Systems, " IEEE ICC 2020, Virtual Conference, June 2020. arXiv / IEEE Xplore 

23. Koya Sato, Kei Inage, and Takeo Fujii, "Radio Environment Map Construction with Joint Space-Frequency Interpolation, "  IEEE ICAIIC 2020, Fukuoka, Japan, Feb. 2020. IEEE Xplore / handout 

24. Yuma Shibasaki, Koya Sato, and Keiichi Iwamura, "An AODV-Based Communication-Efficient Secure Routing Protocol for Large Scale Ad-Hoc Networks, " IEEE CCNC 2020, LasVegas, NV, January 2020. IEEE Xplore

25. Yoji Uesugi, Keita Katagiri, Koya Sato, Kei Inage, and Takeo Fujii,  "Clustering of Signal Power Distribution Toward Low Storage Crowdsourced Spectrum Database, " Proc. IEEE VTC 2019-Fall Workshop on 5G and Beyond Technologies for Ultra-Dense Environments, September 2019 (IEEE VTS Tokyo/Japan Chapter 2019 Student Award). IEEE Xplore

26. Keita Katagiri, Keita Onose, Koya Sato, Kei Inage, and Takeo Fujii, "Highly Accurate Prediction of Radio Propagation Using Model Classifier, " Proc. IEEE VTC2019-Spring, May 2019. IEEE Xplore

27. Keita Onose, Takeo Fujii, Kei Inage, and Koya Sato, "Experimental Verification of Frequency-Correlation in Radio Propagation Characteristics for Radio Environment Recognition, " Proc. ICOIN 2019, January 2019. IEEE Xplore

28. Tatsuya Ute, Yuta Watanabe, Koya Sato, Takayuki Shimizu, and Onur Altintas, "Multi-Antenna Successive Interference Cancellation to Improve Reliability of V2V Communication, " Proc. IEEE VNC 2017, November 2017. IEEE Xplore

29. Koya Sato, Kei Inage, and Takeo Fujii, "Compensation of Survivorship Bias in Path Loss Modeling, " Proc. IEEE PIMRC 2017, October 2017. IEEE Xplore

30. Keita Katagiri, Koya Sato, and Takeo Fujii, "Crowdsourcing-assisted Radio Environment Maps for V2V Communication Systems, " Proc. IEEE VTC 2017-Fall, September 2017 (IEEE VTS Tokyo/Japan 2017 Young Researcher’s Encouragement Award). IEEE Xplore

31. Koya Sato and Takeo Fujii, "Radio Environment Aware Computation Offloading with Multiple Mobile Edge Computing Servers, " Proc. IEEE WCNC 2017 International Workshop on Smart Spectrum (IWSS), March 2017. IEEE Xplore

32. Yuta Watanabe, Koya Sato, and Takeo Fujii, "A Scheduling Method for V2V Networks Using Successive Interference Cancellation, " Proc. IEEE VNC 2016, December 2016. IEEE Xplore

33. Koya Sato, Kei Inage, and Takeo Fujii, "Spectrum Database-assisted Radio Propagation Prediction for Wireless Distributed Networks: A Geostatistical Approach, " Proc. IEEE PIMRC 2016, September 2016. IEEE Xplore

34. Daichi Ishikawa, Koya Sato, Takeo Fujii, Matthias Wilhelm, Haris Kremo and Onur Altintas, "Location-based Distributed Channel Assignment for Communications Among Autonomous Vehicles, " Proc. IEEE VNC 2015, December 2015. IEEE Xplore

35. Koya Sato and Takeo Fujii, "Kriging-based Interference Power Constraint for Spectrum Sharing based on Radio Environment Map, " Proc. IEEE GLOBECOM Workshop on Emerging Technologies for 5G Wireless Cellular Networks (ET5G), December 2015. IEEE Xplore

36. Hao Wang, Koya Sato, and Takeo Fujii, "Received Power Detection under Multiple ON/OFF Environment for Registering Radio Environment Database, " Proc. ICTC 2015, October 2015. IEEE Xplore

37. Koji Ichikawa, Hao Wang, Koya Sato, and Takeo Fujii, "Height Power Estimation with Radio Environment Database in Urban Area, " Proc. ICUFN 2015, July 2015. IEEE Xplore

38. Koya Sato and Takeo Fujii, "Average Interference Power Constraint with Measurement-based Spectrum Database, " Proc. IEEE WCNC 2015 International Workshop on Smart Spectrum (IWSS), March 2015. IEEE Xplore

39. Koya Sato, Takashi Kosugi, Masayuki Kitamura, and Takeo Fujii, "Demo: A Field Test of Measurement-based Spectrum Database using Probing Vehicles, " Proc. IEEE VNC 2014, December 2014. IEEE Xplore

40. Shunsuke Takagi, Shunta Sakai, Koya Sato, and Takeo Fujii, "Spectrum Shared Wireless Sensor Networks based on Radio Environment Database, " Proc. SDR-WInnComm-Europe 2014, November 2014.

41. Koya Sato, Kei Inage, and Takeo Fujii, "Parameter Estimation Method of Primary User Using Measurement-based Spectrum Database, " Proc. IEEE CCNC 2014, January 2014. IEEE Xplore

Tutorials

1. 佐藤光哉, "[チュートリアル] 次世代無線通信システムに向けた電波マップ構築技術の動向：測位系から見える研究課題と関連領域への接続," 信学総大2026, BT-1, 2026年3月.

2. 佐藤光哉, "[チュートリアル] 電波マップ構築入門：研究動向と課題設定の勘所," IEICE AP研究会, 2026年1月. [Researchmap] [SpeakerDeck]

3. 佐藤光哉, "[チュートリアル] ガウス過程に基づく推論とその応用例," 第38回信号処理シンポジウム 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」, 2023年11月. スライド 

4. Koya Sato, "[Tutorial] Decentralized Machine Learning over Wireless Networks," ICAIIC2023, Feb. 2023.

Review Articles

1. 佐藤光哉, "電波マップ," 信学誌, vol. 108, no. 1, pp.78-80, 2025年1月.
   信学会 「知識の森」 

2. 佐藤光哉, "私のブックマーク: 空間統計と無線通信," 人工知能, vol.39, no.4, 2024年7月.
   DOI: 10.11517/jjsai.39.4_560 

3. 佐藤光哉, "無線設計の問題として見る分散連合機械学習," IEICE Fundamentals Review, vol.16, no.1, pp.7-16, 2022年7月.
   DOI: 10.1587/essfr.16.1_7

4. 佐藤光哉, 藤井威生, 須藤克弥, "電波環境の可視化," 信学誌, vol.104, no.12, pp.1234-1238, 2021年12月.

Invited Talks

1. 佐藤光哉, 神崎昂紀, "[招待講演] 電波マップ構築における測位依存の低減技術とその活用法," 電子情報通信学会無線通信システム研究会, 2025年5月.

2. 佐藤光哉, "[招待講演] ガウス過程回帰の分散・低遅延化とその電波マップ構築への応用," 電子情報通信学会スマート無線研究会, 2023年5月. 発表スライド

3. 佐藤光哉, "[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, " 電子情報通信学会ソサイエティ大会,  TK-2-3, 2022年9月.

4. 佐藤光哉, "[招待講演] 分散連合機械学習: 基礎, 動向および無線設計から見た課題," 電子情報通信学会情報理論研究会, vol. 122, no. 25, IT2022-14, pp. 73-73, 2022年5月. 発表スライド (researchmap)

5. 佐藤光哉, "[招待講演] 無線環境の可視化: 空間統計学の基礎とその多次元拡張," 電子情報通信学会 信号処理研究会, vol. 121, no. 144, SIP2021-30, pp. 12-17, 2021年8月. PDF / 発表スライド

Requested Talks

1. 神崎昂紀, 佐藤光哉, "[依頼講演] 測位のバイアス誤差を考慮した観測座標事後補正に基づく電波マップの高精度化," IEICE RISING研究会, 2025年7月.

2. 佐藤光哉, 須藤克弥, "[依頼講演] 適応的実験計画法に基づく効率的無線システム設計," IEICE RCS研究会, RCS2024-146, 2024年10月. 発表スライド 

3. 佐藤光哉, "[依頼講演] 6G時代に向けた電波マップ活用の動向," IEICE RCS研究会, RCS2023-147, 2023年10月.

4. 佐藤光哉, "[依頼講演] デジタルツイン無線システムを支える地理空間データモデリング," 移動通信ワークショップ, SR2022-83, p.3, 2023年3月. 発表スライド 

5. 片桐啓太, 佐藤光哉, 稲毛契, 藤井威生, "[依頼講演] 干渉制約環境下における経験分布関数の補正に基づく電波マップ外挿法, " 移動通信ワークショップ, SR2021-92, pp.28-35, 2022年3月.

6. 佐藤光哉, "[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, " 移動通信ワークショップ, SR2018-127, pp.43-49, 2019年3月．PDF / 発表スライド

Bookchapter

1. Takeo Fujii, Kei Inage, and Koya Sato, "Spectrum Database and Smart Spectrum, " in Handbook of Cognitive Radio, Springer Singapore, edited by Wei Zhang, 2018.
   DOI: 10.1007/978-981-10-1389-8_56-1 

Panel Discussions

1. 佐藤光哉, 電子情報通信学会スマート無線研究会, オンライン, 2021年11月  (討論のみ).

2. 佐藤光哉, "[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, " 電子情報通信学会スマート無線研究会, SR2020-45, pp.146-151, オンライン, 2020年11月. PDF  / 発表スライド

Patents

1. 佐藤光哉, 神崎昂紀, "環境モニタリングシステム、サーバ及び環境モニタリングプログラム," 特願2025-205426 (2025年11月27日出願)

2. 藤井威生, 佐藤光哉 , 片桐啓太,  "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"，特許第6847448号  (2021年3月5日).

3. 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, "無線通信システム、中継局装置及び無線通信方法"，特許第6403280号 (2018年9月21日).