Multiple Access Strategy for Complex Integrated Satellite-Terrestrial Networks of Multiconstraint and Multicooperation Modes

被引:0
|
作者
Han, Shuai [1 ]
Li, Zhiqiang [1 ]
Benslimane, Abderrahim [2 ]
Li, Cheng [3 ]
机构
[1] Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150000, Peoples R China
[2] Univ Avignon, Lab Informat Avignon, F-84029 Avignon, France
[3] Simon Fraser Univ, Sch Engn Sci, Burnaby, BC V5A 1S6, Canada
来源
IEEE INTERNET OF THINGS JOURNAL | 2025年 / 12卷 / 07期
基金
中国国家自然科学基金;
关键词
Satellites; Interference; Space-air-ground integrated networks; NOMA; Fading channels; Quality of service; Base stations; Multiaccess communication; Layout; Delays; Delay-rate adaptive user grouping; integrated satellite-terrestrial network (ISTN); low complexity; rate-splitting strategy; MULTICAST TRANSMISSION; EFFICIENT; ALLOCATION; 1ST-ORDER; UNICAST;
D O I
10.1109/JIOT.2024.3506947
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Integrated satellite-terrestrial networks (ISTNs) are increasingly recognized for their global communication. However, the existing research mainly focuses on simplified ISTNs, where cooperative strategies between satellites and base stations (BSs) are not easily applicable to real-world scenarios. There is a pressing need to investigate more realistic and complex ISTNs to address this gap. To address this gap, we investigate a more realistic and complex ISTN configuration, characterized by a large number of BSs, each divided into interference and service areas. Based on two cooperative modes, i.e., overlay and underlay spectrum sharing, two multiple access schemes are proposed for complex ISTNs using promising rate-splitting technology. These schemes consider multiple constraints simultaneously, such as communication delay, information rate, and power limit. Furthermore, a delay-rate adaptive user grouping strategy is proposed according to communication delay and information rate. For these schemes, the corresponding weighted sum rate problems are formulated, and an improved alternating optimization (AO) method is designed to solve the nonconvex challenges in two spectrum sharing modes. Moreover, a satellite-terrestrial coordinated iteration strategy based on AO is proposed to reduce the computational complexity in underlay spectrum sharing. Simulation outcomes confirm the advantages of our proposed schemes compared to various standard schemes.
引用
收藏
页码:9264 / 9275
页数:12
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