NOMA-Based Collaborative Beam Hopping Frequency Allocation Mechanism for Future LEO Satellite Systems  

作　　者：Fei Zheng Zhao Pi Zou Zhou Miao Ye Hongbing Qiu 

机构地区：[1]Ministry of Education Key Laboratory of Cognitive Radio and Information Processing,Guilin University of Electronic Technology,Guilin 541004,China [2]State key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China

出　　处：《China Communications》2023年第6期321-338,共18页中国通信（英文版）

基　　金：supported by the Special Program of Guangxi Science and Technology Base and Talents under Grant No.AD18281020 and Grant No.AD18281044;National Natural Science Foundation of China under Grant No.Nos.62161006 and Grant No.Nos.61662018;Dean Project of Key Laboratory of Cognitive Radio and Information Processing of Ministry of Education under Grant No.CRKL190104 and Grant No.CRKL200107;Open Foundation of State key Laboratory of Networking and Switching Technology under Grant No.SKLNST-2020-1-08(Beijing University of Posts and Telecommunications)。

摘　　要：Low Earth orbit(LEO) satellite systems provide terrestrial users with services that are not limited by geographical location. However, the conflict between existing allocation schemes and the business variability between beams is becoming increasingly prominent. Beam hopping technology allows for a more flexible and versatile approach to satellite resource allocation. This paper proposes a beam hopping pattern optimization scheme that jointly considers the interference threshold distance and beam service priority, reducing the inter-beam co-channel interference(CCI). In the cluster area, a non-orthogonal multiple access(NOMA)-based collaborative beam hopping(NCBH) scheme is proposed to minimize the cell-edge user(CEU) interference. Since there is a difference in channel gain between the CEU and cellcenter user(CCU), this scheme forms a NOMA cluster to perform power domain multiplexing and formulates a NOMA cluster pairing strategy according to the user location to reduce the CCI of the CEU. After NOMA cluster pairing, the optimal carrier frequency of the NOMA cluster is selected by a reinforcement learning algorithm. The simulation results verify the excellent performance of the proposed NCBH scheme regarding the user’s received power, transmission rate, and outage probability.

关 键 词：LEO satellite beam hopping NOMA resource allocation 

分 类 号：TN927.2[电子电信—通信与信息系统]