POWER_CONTROL

作品数：208被引量：333H指数：7
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Learning Based Interference Coordination for Maritime Communications
《China Communications》2025年第4期356-374,共19页Liu Chuhuan Xiao Liang Chen Yifan Li Siyao Yang Helin Lyu Zefang 
With the boom in maritime activities,the need for highly reliable maritime communication is becoming urgent,which is an important component of 5G/6G communication networks.However,the bandwidth reuse characteristic of...
关键词：bandwidth allocation interference coordination maritime communication power control rein-forcement learning 
Deep Reinforcement Learning Based Joint Cooperation Clustering and Downlink Power Control for Cell-Free Massive MIMO
《China Communications》2024年第11期1-14,共14页Du Mingjun Sun Xinghua Zhang Yue Wang Junyuan Liu Pei 
supported by Guangdong Basic and Applied Basic Research Foundation under Grant 2024A1515012015;supported in part by the National Natural Science Foundation of China under Grant 62201336;in part by Guangdong Basic and Applied Basic Research Foundation under Grant 2024A1515011541;supported in part by the National Natural Science Foundation of China under Grant 62371344;in part by the Fundamental Research Funds for the Central Universities;supported in part by Knowledge Innovation Program of Wuhan-Shuguang Project under Grant 2023010201020316;in part by Guangdong Basic and Applied Basic Research Foundation under Grant 2024A1515010247。
In recent times,various power control and clustering approaches have been proposed to enhance overall performance for cell-free massive multipleinput multiple-output(CF-mMIMO)networks.With the emergence of deep reinfo...
关键词：cell-free massive MIMO CLUSTERING deep reinforcement learning power control 
A Deep Reinforcement Learning-Based Power Control Scheme for the 5G Wireless Systems被引量：1
《China Communications》2023年第10期109-119,共11页Renjie Liang Haiyang Lyu Jiancun Fan 
In the fifth generation(5G)wireless system,a closed-loop power control(CLPC)scheme based on deep Q learning network(DQN)is introduced to intelligently adjust the transmit power of the base station(BS),which can improv...
关键词：reinforcement learning closed-loop power control(CLPC) signal-to-interference-plusnoise ratio(SINR) 
Load Distribution of Base Stations in User-Centric Heterogeneous UDN
《China Communications》2023年第9期227-234,共8页Xuanli Wu Xu Chen Ziyi Xie Wei Wu Tianzhu Pan Yong Li 
supported by National Natural Science Foundation of China (No. 61971161);Foundation of Science and Technology on Communication Networks Laboratory (No.6142104190410);Heilongjiang Touyan Team(No. HITTY20190009)
In ultra-dense networks(UDN),multiple association can be regarded as a user-centric pattern in which a user can be served by multiple base stations(BSs).The data rate and quality of service can be improved.However,BSs...
关键词：heterogeneous ultra-dense network load distribution open loop power control stochastic geometry user-centric 
Multi-Agent Deep Reinforcement Learning for Cross-Layer Scheduling in Mobile Ad-Hoc Networks
《China Communications》2023年第8期78-88,共11页Xinxing Zheng Yu Zhao Joohyun Lee Wei Chen 
supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No.RS-2022-00155885, Artificial Intelligence Convergence Innovation Human Resources Development (Hanyang University ERICA));supported by the National Natural Science Foundation of China under Grant No. 61971264;the National Natural Science Foundation of China/Research Grants Council Collaborative Research Scheme under Grant No. 62261160390
Due to the fading characteristics of wireless channels and the burstiness of data traffic,how to deal with congestion in Ad-hoc networks with effective algorithms is still open and challenging.In this paper,we focus o...
关键词：Ad-hoc network cross-layer scheduling multi agent deep reinforcement learning interference elimination power control queue scheduling actorcritic methods markov decision process 
Group-Based Successive Interference Cancellation for Multi-Antenna NOMA System with Error Propagation被引量：1
《China Communications》2023年第8期276-287,共12页Cheng Hu Hong Wang Changxiang Li Rongfang Song 
supported in part by the National Natural Science Foundation of China under Grant 62171235 and Grant 62171237;in part by the Qinglan Project of Jiangsu Province;in part by the Open Research Foundation of National Mobile Communications Research Laboratory of Southeast University under Grant 2023D01.
Non-orthogonal multiple access(NOMA)is viewed as a key technique to improve the spectrum efficiency and solve the issue of massive connectivity.However,for power domain NOMA,the required overall transmit power should ...
关键词：multi-antenna NOMA group-based successive interference cancellation error propagation power control 
Energy-Efficient Full-Duplex UAV Relaying with Trajectory Optimization and Power Control in Maritime Communication Environments被引量：1
《China Communications》2022年第12期216-231,共16页Lili Guo Xiaodong Ji Shibing Zhang 
National Natural Science Foundation of China(No.61871241);Nantong Science and Technology Project(JC2019114,JC2021129).
This paper solves an energy-efficient optimization problem of a fixed-wing unmanned aerial vehicle(UAV) assisted full-duplex mobile relaying in maritime communication environments.Taking the speed and the acceleration...
关键词：UAV communication full-duplex relaying(FDR) ENERGY-EFFICIENCY maritime communication 
Coalitional Game Based Joint Beamforming and Power Control for Physical Layer Security Enhancement in Cognitive IoT Networks
《China Communications》2021年第12期139-150,共12页Zhaoye Xu Aiyan Qu Kang An 
In this paper,the physical layer se-cure transmission in multi-antenna multi-user cogni-tive internet-of-thing(IoT)network is investigated,where the coalitional game based joint beamform-ing and power control scheme i...
关键词：physical layer secure transmission IOT coalitional game alternative optimization method 
On Connectivity of Flying Ad Hoc Networks in the Presence of Ground Terminal被引量：1
《China Communications》2021年第9期1-10,共10页Chao Liu Zhongshan Zhang 
National Natural Science Foundation of China(No.62071035)。
The Unmanned Aerial Vehicle(UAV)technologies are envisioned to play an important role in the era of Air-Space-Ground integrated networks.In this paper,we investigate the connectivity of a Flying Ad hoc Network(FANET)i...
关键词：flying ad hoc network UAV swarm CONNECTIVITY power control connected probability 
Joint Topology Construction and Power Adjustment for UAV Networks:A Deep Reinforcement Learning Based Approach被引量：3
《China Communications》2021年第7期265-283,共19页Wenjun Xu Huangchun Lei Jin Shang 
In this paper,we investigate a backhaul framework jointly considering topology construction and power adjustment for self-organizing UAV networks.To enhance the backhaul rate with limited information exchange and avoi...
关键词：UAV networks target selection power control power allocation deep reinforcement learning 
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