Welcome to Aohan Li Lab

Aohan Li Lab was established on April 1st, 2022, mainly working on machine learning and quantum annealing/laser chaos for the next generation of wireless communications, and the applications of AI.


Call for Papers

Conference Schedule:

S. Sugiyama (M1@UEC), "A Double Deep Q Network Based Fully Autonomous Distributed Transmission Parameter Selection Method for Mobile IoT Application"

S. Sugiyama (M1@UEC), "Fully Autonomous Distributed Transmission Parameter Selection Method for Mobile IoT Applications Using Deep Reinforcement Learning"

News

(M. Fujisawa (M2@TUS), H. Yasuda, R. Isogai, Y. Yoshida, M. Arai, A. Li, S. Kim, and M. Hasegawa, "An Efficient Beaconing of Bluetooth Low Energy by Decision Making Algorithm," 15 pages.)

椙山誠也(M1@UEC), 牧添啓吾(M2@TUS), 新井麻希, 長谷川幹雄, 大槻知明, 李傲寒, "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," 6 pages

(S. Sugiyama (M1@UEC), K. Makizoe (M2@TUS), M. Arai, M. Hasegawa, T. Otsuki, A. Li, "A Double Deep Q Network Based Fully Autonomous Distributed Transmission Parameter Selection Method for Mobile IoT Applications," 6 pages.)

S. Sugiyama (B4@UEC), K. Makizoe (M2@TUS), M. Arai, M. Hasegawa, T. Otsuki, A. Li, "Fully Autonomous Distributed Transmission Parameter Selection Method for Mobile IoT Applications Using Deep Reinforcement Learning," 5 pages.

(G. Han, W. Wang, Z. Xu, A. Li, "Data Augmentation and Individual Identification Method for Emitters Using Contour Stella Image Mapping" 11 pages.)

T. Fujita (M2@TUS), A. Li, Q. V. Do, T. Otsuka, M. Arai, S.-G. Jeong, W.-J. Hwang, H. Takesue, K. Inaba, K. Aihara, and M. Hasegawa, "Performance Evaluation of Resource Allocation Optimization in UAV Network with Ising Machine,

(M. Sugiyama (M2@TUS), T. Mihana, A. Li (Corresponding Author), M. Naruse, and M. Hasegawa, "Ultrafast Resource Allocation by Parallel Bandit Architecture Using Chaotic Lasers for Downlink NOMA Systems," 14 pages.)

① 有吉良太(B4@UEC), 椙山誠也(B4@UEC), 長谷川幹雄, 大槻知明, 李傲寒, "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," 1 page. (R. Ariyoshi (B4@UEC), S. Sugiyama (B4@UEC), M. Hasegawa, T. Otsuki, A. Li, "Transmission Parameters Selection Method Using Reinforcement Learning for Improving Energy Efficiency in Massive IoT Systems," 1 page.)

椙山誠也(B4@UEC), 牧添啓吾(M2@TUS), 新井麻希, 長谷川幹雄, 大槻知明, 李傲寒, "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," 1 page. (S. Sugiyama (B4@UEC), K. Makizoe (M2@TUS), M. Arai, M. Hasegawa, T. Otsuki, A. Li, "An Autonomous and Distributed Transmission Parameters Selection Method Using Deep Reinforcement Learning in Mobile LoRa Networks," 1 page.)

長沼俊汰(B4@TUS), 藤田嗣雲(M2@TUS), 新井麻希, 李傲寒, 長谷川幹雄, "イジングマシンによる高速最適化を応用した Massive MIMO におけるビーム割当手法の検討," 1 page. (S. Naganuma (B4@TUS), T. Fujita (M2@TUS), M. Arai, A. Li, M. Hasegawa, "Investigation of Beam Allocation Methods in Massive MIMO Using High-Speed Optimization by Ising Machines," 1 page.)

安藤暖人(B4@TUS), 李傲寒, 新井麻希, 長谷川幹雄, "Laser Chaos Decision Makerによる超高速意思決定を応用した動的チャネルボンディングにおけるプライマリチャネル選択," 1 page. (H. Ando (B4@TUS), A. Li, M. Arai, M. Hasegawa, "Primary Channel Selection in Dynamic Channel Bonding Using Ultra-Fast Decision Making of Laser Chaos Decision Maker," 1 page.)

M. Sugiyama (M2@TUS), A. Li, M. Arai, T. Mihana, M. Hasegawa, "Ultrafast channel allocation by a Parallel Laser Chaos Decision-Maker for Downlink NOMA Systems,

② T. Fujita (M2@TUS), A. Li, Q. V. Do, T. Otsuka, S.-G. Jeong, W.-J. Hwang, H. Takesue, K. Inaba, K. Aihara, and M. Hasegawa, "Performance Evaluation of Resource Allocation Optimization in UAV Network with Ising Machine,

Best Student Paper Award: M. Sugiyama (M2@TUS), A. Li, M. Naruse, M. Hasegawa, "Ultrafast channel allocation in downlink NOMA using a parallel array of laser chaos decision-makers," 4 pages.

Student Paper Award: M. Fujisawa (M2@TUS), H. Yasuda, R. Isogai, Y. Yoshida, A. Li, S. Kim, and M. Hasegawa, "Design and Implementation of MAB Based Power Consumption Optimization Method on Bluetooth Low Energy," 4 pages. 

長沼俊太(B4), 藤田嗣 (M2), 新井麻希, 李傲寒, 長谷川幹雄, "イジング模型に基づく超高速ビーム選択最適化法の検討," 1 page

(S. Naganuma (B4), M. Arai, M. Hasegawa, A. Li, T. Fujiata (M2), "Investigation of Ultra-Fast Beam Selection Optimization Method Based on Ising Model," 1 page.)

(G. Han, R. Xia, H. Wang, A. Li, "Source Location Privacy Protection Algorithm Based on Polyhedral Phantom Routing in Underwater Acoustic Sensor Networks," 14 pages.)

(X. Zhou, A. Li (Corresponding Author), G. Han, "An Intelligent Multi-Local Model Bearing Fault Diagnosis Method Using Small Sample Fusion," 21 pages. )

(Y. He, G. Han, A. Li, T. Taleb, C. Wang, and H. Yu, "A Federated Deep Reinforcement Learning-Based Trust Model in Underwater Acoustic Sensor Networks," 13 pages. )

(T. Otsuka (M2@TUS), A. Li (Corresponding Author), H. Takese, K. Inaba, K. Aihara, and M. Hasegawa, "High-Speed Resource Allocation Algorithm Using a Coherent Ising Machine for NOMA Systems," 18 pages.)

(I. Urabe (M2@TUS), A. Li (Corresponding Author), M. Fujisawa, S.-J. Kim, and M. Hasegawa, "Combinatorial MAB-Based Joint Channel and Spreading Factor Selection for LoRa Devices," 25 pages.)

石橋周峰 (M1), 大塚鉄兵 (M2),  新井麻希, 李傲寒, 武居弘樹 , 稲葉謙介, 合原一幸 , 長谷川幹雄, " 高次ハミルトニアンを応用した多ユーザNOMAシステムにおけるリソース割当最適化の研究." 6 pages. 

(S. Ishibashi (M1), T. Otsuka (M2), M. Arai, A. Li, H. Takesue, K. Aihara, M. Hasegawa, " Resource allocation optimization in multi-user NOMA systems using higher-order Hamiltonians," 6 pages.)

M. Alishahi, P. Fortier, M. Zeng, F. Fang, A. Li, "Latency Minimization in Wireless-Powered Federated Learning Networks with NOMA,", 5 pages.

M. Sugiyama (M2), A. Li, M. Naruse, M. Hasegawa, "Ultrafast channel allocation in downlink NOMA using a parallel array of laser chaos decision-makers," 4 pages.

T. Fujita (M2), A. Li, Q. Do, S. Jeong, W. Hwang, H. Takesue, K. Inaba, K. Aihara, M. Hasegawa, "Resource Allocation for Large Scale UAV Networks Using Coherent Ising Machine," 4 pages.

M. Fujisawa (M2), H. Yasuda, R. Isogai, Y. Yoshida, A. Li, S. Kim, and M. Hasegawa, "Design and Implementation of MAB Based Power Consumption Optimization Method on Bluetooth Low Energy," 4 pages. 

(H. Wang, G. Han, A. Gong, A. Li, Y. Hou, A Backbone Network Construction-Based Multi-AUV Collaboration Source Location privacy Protection Algorithm in UASNs, 12 pages.)

① 李岩(M2), 大塚鉄兵 (M2), 李傲寒,  武居弘樹 , 稲葉謙介, 合原一幸 , 長谷川幹雄, " Coherent Ising Machine によるIntelligent Reflecting Surface スケジューリングの最適化,"

(Y. Li (M2), T. Otsuka (M2), A. Li, H. Takesue, K. Aihara, M. Hasegawa, "A study on optimization of scheduling in intelligent reflecting surface assisted communication using coherent ising machine.,")

② 石橋周峰 (M1), 大塚鉄兵 (M2), 李傲寒,  武居弘樹 , 稲葉謙介, 合原一幸 , 長谷川幹雄, "高次ハミルトニアンに基づいた多ユーザ NOMA システムにおけるリソース割当最適化," 

(S. Ishibashi (M1), T. Otsuka (M2), A. Li, H. Takesue, K. Aihara, M. Hasegawa, " A Study on Resource Allocation Optimization in Multi-User NOMA Networks Based on Higher-Order Hamiltonians,")

(F. Zhang, G. Han, A. Li, C. Lin, and L. Liu "QoS-driven distributed cooperative data offloading and heterogeneous resource scheduling for IIoT," 9 pages.)

(杉山真規 (M1), 李傲寒, 成瀬誠, 長谷川幹雄, "Laser Chaos Decision-Makerによる大規模NOMAにおける超高速チャネル割当")

 (M. Sugiyama (M1), A. Li, M. Naruse, M. Hasegawa, "Scalable Channel Allocation in Downlink NOMA Using Parallel Array of Laser Chaos Decision-Maker," 6 pages.)

(T. Otsuka (M2), A. Li, H. Takesue, K. Inaba, K. Aihara, and M. Hasegawa, "High-Speed Optimization of NOMA System Using Coherent Ising Machine in Dynamic Environment)

(H. Wang, G. Han, Y. Liu, A. Li, J. Jiang, "AUV-Assisted Stratified Source Location Privacy Protection Scheme Based on Network Coding in UASNs," 13 pages.)

N. Fujita (M2), A. Rohm, T. Mihana, R. Horisaki, A. Li, M. Hasegawa, and M. Naruse, "Pairing optimization via statistics: algebraic structure in pairing problems and its application to performance enhancement," 19 pages.

T. Otsuka (M2), A. Li,  H. Takesue, K. Inaba, K. Aihara, and M. Hasegawa, "High-Speed Optimization of NOMA System Using Coherent Ising Machine in Dynamic Environment," 4 pages.

X. Wang, A. Li (Corresponding Author), G. Han "A Deep Learning Based Fault Diagnosis of Industrial Bearing Using Multi-Source Information," 26 pages. 

T. Osada (B4), H. Yasuda, A. Li, S.-J. Kim, and M. Hasegawa, "Design and Implementation of Decentralized TDMA for Low Power IoT Devices," 5 pages. 

(I. Urabe (M2), M. Fujisawa (M1), A. Li S.-J Kim, and M. Hasegawa, "Experimental Evaluation of SF-Channel Selection Based on Autonomous Distributed Reinforcement Learning for LoRaWAN Devices," 1 page.)

(M. Sugiyama (M1), A. Li, M. Naruse, and M. Hasegawa, "Scalable Channel Allocation in Downlink NOMA Using Parallel Array of Laser Chaos Decision-Maker,"  6 pages, Jan. 2023.)

(I. Urabe (M2), A. Li., S.-J. Kim, and Mikio Hasegawa, "Design and Implementation of SF Selection Based on Distance and SNR Using Autonomous Distributed Reinforcement Learning in LoRa Networks," 9 pages)

(J. Jiang, S. Hua, G. Han, A. Li, and C. Lin, "Controversy adjudication-based trust management mechanism in the internet of underwater things," 12 pages.)

(S. Hasegawa (D3), K. Kuwata (M2), A. Li, Y. Watanabe, Y. Shoji, and M. Hasegawa, "UAV data delivery and routing optimization in piggy-back network," 14 pages.)

(松岡蒼 (B4), 杉山真規 (M1), 李傲寒, 成瀬誠, 長谷川幹雄, "Laser Chaos Decision Makerを用いた動的NOMAシステムにおける超高速チャネル割当")

 (S. Matsuoka (B4), M. Siguyama (M1), A. Li, M. Naruse, M. Hasegawa, "A study on high-speed channel assignment for dynamic NOMA system by a laser chaos decision maker," 1 page.)

A. Li, Z. Duan, M. Naruse, and M. Hasegawa, "Uplink Grant-Free NOMA Using Laser Chaos Decision Maker," 4 pages. 

T. Otsuka (M2), A. Li, H. Takesue, K. Inaba, K. Aihara, and M. Hasegawa, "Fast Resource Allocation for NOMA System Using Coherent Ising Machine," 4 pages. 

N. Fujita (M2), A. Rohm, T. Mihana, R. Horisaki, A. Li, M. Hasegawa, and M. Naruse, "An efficient observation algorithm that achieves the minimum number of measurements for pairing optimization," 4 pages.

(A. Li, "Deep Reinforcement Learning Based Resource Allocation for LoRaWAN," 4 pages.)

(A. Li, I. Urabe, M. Fujisawa, S. Hasegawa, H. Yasuda, S.-J. Kim, and M. Hasegawa, "A Lightweight Transmission Parameter Selection Scheme Using Reinforcement Learning for LoRaWAN," arXiv:2208.01824, 14 pages.)

(S. Hasegawa (D3), R. Kitagawa (M2), A. Li (Corresponding Author), S.-J. Kim, Y. Watanabe, Y. Shoji, and M. Hasegawa, "Multi-Armed-Bandit Based Channel Selection Algorithm for Massive Heterogeneous IoT Networks." )

(T. Otsuka (M2), A. Li, H. Takesue, K. Inaba, K. Aihara, and M. Hasegawa, "High-Speed Resource Allocation Optimization of NOMA System via Coherent Ising Machine,")

(D. Yamamoto (M2), H. Furukawa (M2), A. Li, Y. Ito, K. Sato, M. Hasegawa, et al., "Performance Evaluation of Reinforcement Learning Based Distributed Channel Selection in Massive IoT Networks."

杉山真規 (M1), 李傲寒, 段增朝, 成瀬誠, 長谷川幹雄, "Laser Chaos Decision Makerを用いたユーザペアリングによるダウンリンクNOMAのBER最小化" (M. Sugiyama (M1), A. Li, Z. Duan, M. Naruse, and M. Hasegawa, "BER Minimization in Downlink NOMA by Laser Chaos Decision-Maker Based User Pairing" ) 

浦邉郁実 (M2), 藤澤稔 (M1), 李傲寒, 伊藤友輔, 金成主, 長谷川幹雄, "自律分散型強化学習を用いたCHおよびSF選択方法のLoRaデバイスへの実装及び実験評価" (I. Urabe (M2), M. Fujisawa (M1), A. Li, Y. Ito, S-J. Kim, and M. Hasegawa, "Implementation and Experimental Evaluation of a Distributed Reinforcement Learning Based Channel and SF Selection Method for LoRa Devices") 

藤田尚輝 (M2), 二コラ ショヴェ, アンドレレーム, 巳鼻孝朋, 堀﨑遼一, 李傲寒, 長谷川幹雄, 成瀬誠, "非直交多元接続に対するペアリング最適化アルゴリズムの適用" (N. Fujita (M2), N. Chauvet, A. Roehm, T. Mihana, R. Horisaki, A. Li, M. Hasegawa, and M. Naruse, Application of pairing optimization algorithm to non-orthogonal multiple access)

(N. Fujita (M2), N. Chauvet, A. Rohm, R. Horisaki, A. Li, M. Hasegawa, and M. Naruse, " Efficient pairing in unknown environments: minimal observations and TSP-based optimization."

(M. Sugiyama (M1), A. Li (Corresponding Author), Z. Duan, M. Naruse, and M. Hasegawa, "BER minimization by user pairing in downlink NOMA using laser chaos decision-maker" )