Resource allocation for integrated satellite-terrestrial networks based on RSMA

被引:0
|
作者
Shi, Jianfeng [1 ,3 ]
Yang, Husheng [1 ]
Chen, Xiao [2 ,3 ]
Yang, Zhaohui [4 ,5 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Elect & Informat Engn, Nanjing, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Sch Artificial Intelligence, Nanjing, Peoples R China
[3] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing, Peoples R China
[4] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou, Zhejiang, Peoples R China
[5] Zhejiang Prov Key Lab Informat Proc Commun & Netwo, Hangzhou, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
integrated satellite-terrestrial network; resource allocation; signal processing; SPLITTING MULTIPLE-ACCESS; VIRTUAL-REALITY; MULTICAST; DESIGN; SECURE; VR;
D O I
10.1049/cmu2.12745
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
To achieve high data rate transmission of virtual reality (VR) applications globally, a resource allocation algorithm based on Rate-Splitting Multiple Access (RSMA) in an integrated satellite-terrestrial network (ISTN) is proposed. In this network, a user selection strategy is proposed. The maximum transmission power budgets of the base station and satellite, as well as the service quality constraints for all users, are considered. Then, a joint resource allocation problem is formulated. To tackle the non-convex problem, auxiliary variables are introduced and the first-order Taylor expansion method is used to convert it into a convex one. An iterative algorithm is proposed based on the successive convex approximation (SCA) to allocate rate and power resources. Simulation results demonstrate that the proposed algorithm significantly enhances the transmission rate and effectively satisfies the VR transmission rate requirements, when compared to benchmark algorithms. We first establish a downlink transmission framework for the integrated satellite-terrestrial network based on RSMA, to achieve high data rate transmission of virtual reality applications globally. Then, considering some practical constraints, a joint resource allocation problem of rate and transmission power is formulated. Finally, an iterative algorithm based on successive convex approximation method is proposed and verified by extensive simulation results. image
引用
收藏
页数:12
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