LI AOHAN 李傲寒

Researcher Number	50876810
Other IDs
Affiliation (Current)	2026: 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	2022 – 2025: 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 AI / 6G / Quantum Computing / Network Optimization / Energy efficiency / Spectrum efficiency / AI based optimization / Intelligent 6G / Optimization / Energy Efficiency … More / Spectrum Efficiency / エネルギー効率 / スペクトル効率 / 無線通信システム Less

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
  
  LI AOHAN
- 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 2025 2024 2023 2022

All Journal Article Presentation

[Journal Article] Applying Coherent Ising Machines for Enhancing Communication Efficiency in Large-Scale UAV-Aided Networks2024
- Author(s)
  Fujita Tsukumo、Li Aohan、Vinh do Quang、Otsuka Teppei、Jeong Seon-Geun、Hwang Won-Joo、Takesue Hiroki、Inaba Kensuke、Aihara Kazuyuki、Hasegawa Mikio
- Journal Title
  
  IEEE Access
  
  Volume: 12 Pages: 136011-136024
- DOI
  10.1109/access.2024.3450539
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-20H05921, KAKENHI-PLANNED-22H05197, KAKENHI-PROJECT-23K22763, KAKENHI-PROJECT-22K14263
[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-20H05921, KAKENHI-PROJECT-23K22763, KAKENHI-PLANNED-22H05197
[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, KAKENHI-PLANNED-22H05197
[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] Energy Efficient Transmission Parameters Selection Method Using Reinforcement Learning in Distributed LoRa Networks2025
- Author(s)
  Ryotai Airiyoshi; Mikio Hasegawa; Tomoaki Ohtsuki; Aohan Li
- Organizer
  2025 IEEE Wireless Communications and Networking Conference (WCNC)
- Data Source
  KAKENHI-PROJECT-22K14263
[Presentation] High-Speed Resource Allocation for Multi-User NOMA Systems Using a Coherent Ising Machine2025
- Author(s)
  Shuho Ishibashi; Maki Arai; Aohan Li; Hiroki Takesue; Kensuke Inaba; Kazuyuki Aihara; Mikio Hasegawa
- Organizer
  2025 International Conference on Information Networking (ICOIN)
- Data Source
  KAKENHI-PROJECT-22K14263
[Presentation] Channel Selection Method Based on Deep Reinforcement Learning in LoRa Networks2025
- Author(s)
  Miyu Tsuzuki, Ryota Ariyoshi, Seiya Sugiyama, Aohan Li
- Organizer
  IEICE GlobalNet Workshop
- Data Source
  KAKENHI-PROJECT-22K14263
[Presentation] LoRaネットワークにおける深層学習によるチャネル選択法2025
- Author(s)
  都築美結, 有吉良太, 椙山誠也, 李傲寒
- Organizer
  電子情報通信学会総合大会
- 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] Tuning Quantum Computing Privacy through Quantum Error Correction2024
- Author(s)
  Hui Zhong; Keyi Ju; Manojna Sistla; Xinyue Zhang; Aohan Li; Xiaoqi Qin; Xin Fu; Miao Pan
- Organizer
  GLOBECOM 2024 - 2024 IEEE Global Communications Conference
- 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] 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] 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] LoRシステムにおけるエネルギー効率向上のための強化学習を用いた送信パラメータ選択法2024
- Author(s)
  有吉良太, 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] 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; Aohan Li
- Organizer
  2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)
- 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] 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
  IEICE 無線通信システム研究会
- 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
[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

1. 合原一幸

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

LI AOHAN 李 傲寒

Research Projects

Research Products

Co-Researchers

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] Applying Coherent Ising Machines for Enhancing Communication Efficiency in Large-Scale UAV-Aided Networks2024

Author(s)

Journal Title

DOI

Data Source

[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] Energy Efficient Transmission Parameters Selection Method Using Reinforcement Learning in Distributed LoRa Networks2025

Author(s)

Organizer

Data Source

[Presentation] High-Speed Resource Allocation for Multi-User NOMA Systems Using a Coherent Ising Machine2025

Author(s)

Organizer

Data Source

[Presentation] Channel Selection Method Based on Deep Reinforcement Learning in LoRa Networks2025

Author(s)

Organizer

Data Source

[Presentation] LoRaネットワークにおける深層学習によるチャネル選択法2025

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] Tuning Quantum Computing Privacy through Quantum Error Correction2024

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

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] LoRシステムにおけるエネルギー効率向上のための強化学習を用いた送信パラメータ選択法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

LI AOHAN 李傲寒