Joint Beamformer Design and User Scheduling for Integrated Terrestrial-Satellite Networks

被引:6
|
作者
Dong, Hao [1 ]
Hua, Cunqing [1 ]
Liu, Lingya [2 ]
Xu, Wenchao [3 ]
Guo, Song [3 ]
Tafazolli, Rahim [4 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Cyber Sci & Engn, Shanghai 200240, Peoples R China
[2] East China Normal Univ, Sch Commun & Elect Engn, Shanghai 200241, Peoples R China
[3] Hong Kong Polytech Univ, Dept Comp, Hong Kong, Peoples R China
[4] Univ Surrey, Inst Commun Syst, Home 5G Innovat Ctr, Guildford GU2 7XH, Surrey, England
关键词
Integrated terrestrial satellite network; spectrum sharing; joint beamforming; framing structure; virtual multiple access channel; COMMUNICATION-SYSTEMS; TRANSMISSION; OPTIMIZATION; CHANNEL; 5G; ALLOCATION;
D O I
10.1109/TWC.2023.3240734
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
The integrated terrestrial satellite networks (ITSNs) have been deemed as a promising solution to ubiquitous Internet access anytime and anywhere. In this paper, we investigate the spectrum sharing problem in ITSN, in particular focusing on the downlink transmission of the satellite network, which adopts the framing structure for the satellite users (SUs). We model the interference from both terrestrial downlink and uplink transmissions to SUs according to the beamforming techniques. For the terrestrial downlink transmission, we assume that terrestrial users (TUs) are served cooperatively by multiple small base stations (SBSs) via joint beamforming, while the virtual multiple access channel (VMAC) scheme is adopted for the terrestrial uplink transmission. We propose the optimization framework by jointly considering the terrestrial beamformer design and satellite user scheduling to maximize the sum rate of all users. The optimization problems are decomposed into three sub-problems: satellite user scheduling, terrestrial beamformer design, and time slot allocation, which are solved by deep clustering, second-order cone programming (SOCP) (or fractional programming (FP)), and linear programming, respectively. Then, an alternating iterative algorithm is designed to obtain the optimal solution. Simulation results are provided to demonstrate the effectiveness of the proposed algorithm in multiple cases.
引用
收藏
页码:6398 / 6414
页数:17
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