LI AOHAN 李傲寒

… Alternative Names

李傲寒リアオハン

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Researcher Number	50876810
Other IDs
Affiliation (Current)	2025: 電気通信大学, 大学院情報理工学研究科, 助教
Affiliation (based on the past Project Information) *help	2025: 電気通信大学, 大学院情報理工学研究科, 助教 2022 – 2023: 電気通信大学, 大学院情報理工学研究科, 助教
Review Section/Research Field	Principal Investigator Basic Section 21020:Communication and network engineering-related
Keywords	Principal Investigator Energy Efficiency / Spectrum Efficiency / Optimization / Energy efficiency / Spectrum efficiency / AI based optimization / Intelligent 6G

Research Projects
(2 results)
Research Products
(11 results)

Quantum Computing and AI for Real-Time Network Optimization in 6GPrincipal Investigator
- Principal Investigator
  
  李傲寒
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 21020:Communication and network engineering-related
- Research Institution
  The University of Electro-Communications
AI based optimization of the spectrum and energy efficiency for Intelligent 6GPrincipal Investigator
- Principal Investigator
  
  李傲寒
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 21020:Communication and network engineering-related
- Research Institution
  The University of Electro-Communications

All 2024 2023 2022

All Journal Article Presentation

[Journal Article] High-Speed Resource Allocation Algorithm Using a Coherent Ising Machine for NOMA Systems2024
- Author(s)
  Otsuka Teppei、Li Aohan、Takesue Hiroki、Inaba Kensuke、Aihara Kazuyuki、Hasegawa Mikio
- Journal Title
  
  IEEE Transactions on Vehicular Technology
  
  Volume: 73 Issue: 1 Pages: 707-723
- DOI
  10.1109/tvt.2023.3300920
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K14263, KAKENHI-PLANNED-22H05197, KAKENHI-PLANNED-20H05921, KAKENHI-PROJECT-23K22763
[Journal Article] Combinatorial MAB-Based Joint Channel and Spreading Factor Selection for LoRa Devices2023
- Author(s)
  Urabe Ikumi、Li Aohan、Fujisawa Minoru、Kim Song-Ju、Hasegawa Mikio
- Journal Title
  
  Sensors
  
  Volume: 23 Issue: 15 Pages: 6687-6687
- DOI
  10.3390/s23156687
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K14263, KAKENHI-PROJECT-23K22763
[Journal Article] Multi-Armed-Bandit Based Channel Selection Algorithm for Massive Heterogeneous Internet of Things Networks2022
- Author(s)
  Hasegawa So、Kitagawa Ryoma、Li Aohan、Kim Song-Ju、Watanabe Yoshito、Shoji Yozo、Hasegawa Mikio
- Journal Title
  
  Applied Sciences
  
  Volume: 12 Issue: 15 Pages: 7424-7424
- DOI
  10.3390/app12157424
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K14263, KAKENHI-PROJECT-23K22763
[Presentation] An Autonomous and Distributed Transmission Parameters Selection Method Using Deep Reinforcement Learning in Mobile LoRa Networks2024
- Author(s)
  Seiya Sugiyama, Keigo Makizoe, Maki Arai, Mikio Hasegawa, Tomoaki Otsuki, and Aohan Li
- Organizer
  GlobalNet Workshop 2024 in Hiroshima
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K14263
[Presentation] Transmission Parameters Selection Method Using Reinforcement Learning for Improving Energy Efficiency in Massive IoT Systems2024
- Author(s)
  Ryotai Airiyoshi, Seiya Sugiyama, Mikio Hasegawa, Tomoaki Otsuki, and Aohan Li
- Organizer
  GlobalNet Workshop 2024 in Hiroshima
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K14263
[Presentation] Massive IoT システムにおけるエネルギー効率を改善するための強化学習による送信パラメータ選択手法2024
- Author(s)
  有吉良太, 椙山誠也, 長谷川幹雄, 大槻知明, 李傲寒
- Organizer
  電子情報通信学会総合大会
- Data Source
  KAKENHI-PROJECT-22K14263
[Presentation] モバイルLoRaネットワークにおける深層強化学習による自律分散型送信パラメータ選択手法2024
- Author(s)
  椙山誠也, 牧添啓吾, 新井麻希, 長谷川幹雄, 大槻知明, 李傲寒
- Organizer
  電子情報通信学会総合大会
- Data Source
  KAKENHI-PROJECT-22K14263
[Presentation] Fully Autonomous Distributed Transmission Parameter Selection Method for Mobile IoT Applications Using Deep Reinforcement Learning2024
- Author(s)
  Seiya Sugiyama, Keigo Makizoe, Maki Arai, Mikio Hasegawa, Tomoaki Otsuki, and Aohan Li
- Organizer
  IEEE VTC2024-Spring (The 2024 IEEE 99th Vehicular Technology Conference)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K14263
[Presentation] Double Deep Q NetworkによるモバイルIoTアプリケーションのための自律分散型送信パラメータ選択手法2024
- Author(s)
  椙山誠也, 牧添啓吾, 新井麻希, 長谷川幹雄, 大槻知明, 李傲寒
- Organizer
  電子情報通信学会無線通信システム研究会
- Data Source
  KAKENHI-PROJECT-22K14263
[Presentation] Deep Reinforcement Learning Based Resource Allocation for LoRaWAN2022
- Author(s)
  Aohan Li
- Organizer
  IEEE VTC2022-Fall (IEEE 96th Vehicular Technology Conference)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K14263
[Presentation] Uplink Grant-Free NOMA Using Laser Chaos Decision Maker2022
- Author(s)
  Aohan Li
- Organizer
  IEICE NOLTA2022 (IEICE The 2022 International Symposium on Nonlinear Theory and Its Applications)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K14263

LI AOHAN 李 傲寒

李 傲寒 リ アオハン

Research Projects

Research Products

Quantum Computing and AI for Real-Time Network Optimization in 6GPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

AI based optimization of the spectrum and energy efficiency for Intelligent 6GPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] High-Speed Resource Allocation Algorithm Using a Coherent Ising Machine for NOMA Systems2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Combinatorial MAB-Based Joint Channel and Spreading Factor Selection for LoRa Devices2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Multi-Armed-Bandit Based Channel Selection Algorithm for Massive Heterogeneous Internet of Things Networks2022

Author(s)

Journal Title

DOI

Data Source

[Presentation] An Autonomous and Distributed Transmission Parameters Selection Method Using Deep Reinforcement Learning in Mobile LoRa Networks2024

Author(s)

Organizer

Data Source

[Presentation] Transmission Parameters Selection Method Using Reinforcement Learning for Improving Energy Efficiency in Massive IoT Systems2024

Author(s)

Organizer

Data Source

[Presentation] Massive IoT システムにおけるエネルギー効率を改善するための強化学習による送信パラメータ選択手法2024

Author(s)

Organizer

Data Source

[Presentation] モバイルLoRaネットワークにおける深層強化学習による自律分散型送信パラメータ選択手法2024

Author(s)

Organizer

Data Source

[Presentation] Fully Autonomous Distributed Transmission Parameter Selection Method for Mobile IoT Applications Using Deep Reinforcement Learning2024

Author(s)

Organizer

Data Source

[Presentation] Double Deep Q NetworkによるモバイルIoTアプリケーションのための自律分散型送信パラメータ選択手法2024

Author(s)

Organizer

Data Source

[Presentation] Deep Reinforcement Learning Based Resource Allocation for LoRaWAN2022

Author(s)

Organizer

Data Source

[Presentation] Uplink Grant-Free NOMA Using Laser Chaos Decision Maker2022

Author(s)

Organizer

Data Source

LI AOHAN 李傲寒

李傲寒リアオハン