典型文献
User-Level Scheduling and Resource Allocation for Multi-Beam Satellite Systems with Full Frequency Reuse
文献摘要：
Multi-beam satellite communication sys-tems can improve the resource utilization and system capacity effectively.However,the inter-beam inter-ference,especially for the satellite system with full frequency reuse,will degrade the system performance greatly due to the characteristics of multi-beam satel-lite antennas.In this article,the user scheduling and resource allocation of a multi-beam satellite system with full frequency reuse are jointly studied,in which all beams can use the full bandwidth.With the strong inter-beam interference,we aim to minimize the sys-tem latency experienced by the users during the pro-cess of data downloading.To solve this problem,deep reinforcement learning is used to schedule users and allocate bandwidth and power resources to mitigate the inter-beam interference.The simulation results are compared with other reference algorithms to verify the effectiveness of the proposed algorithm.
文献关键词：
中图分类号：
作者姓名：
Tao Leng;Yanan Wang;Dongwei Hu;Gaofeng Cui;Weidong Wang
作者机构：
School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China;Key Laboratory of Universal Wireless Communications(Beijing University of Posts and Telecommunications),Beijing 100876,China;Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory,Hebei 050000,China
文献出处：
引用格式：
[1]Tao Leng;Yanan Wang;Dongwei Hu;Gaofeng Cui;Weidong Wang-.User-Level Scheduling and Resource Allocation for Multi-Beam Satellite Systems with Full Frequency Reuse)[J].中国通信（英文版）,2022(06):179-192
A类：
Reuse,downloading
B类：
User,Level,Scheduling,Resource,Allocation,Multi,Beam,Satellite,Systems,Full,Frequency,satellite,communication,can,improve,utilization,system,capacity,effectively,However,especially,full,frequency,reuse,will,degrade,performance,greatly,due,characteristics,multi,antennas,In,this,article,scheduling,allocation,jointly,studied,which,beams,bandwidth,With,strong,interference,aim,minimize,latency,experienced,by,users,during,cess,data,To,solve,problem,deep,reinforcement,learning,used,schedule,allocate,power,resources,mitigate,simulation,results,compared,other,reference,algorithms,verify,effectiveness,proposed
AB值：
0.539023
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