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动态划分群组非正交多址接入技术在天地一体化网络中的应用。

Dynamic Divide Grouping Non-Orthogonal Multiple Access in Terrestrial-Satellite Integrated Network.

机构信息

The 91892 Troops, Sanya 572000, China.

School of Weaponry Engineering, Naval University of Engineering, Wuhan 430072, China.

出版信息

Sensors (Basel). 2021 Sep 16;21(18):6199. doi: 10.3390/s21186199.

Abstract

Non-orthogonal multiple access (NOMA) has been extensively studied to improve the performance of the Terrestrial-Satellite Integrated Network (TSIN) on account of the shortage of frequency band resources. In this paper, the terrestrial network and satellite network synergistically provide complete coverage for ground users, and based on the architecture, we first formulate a constrained optimization problem to maximize the sum rate of the TSIN under the limited spectrum resources. As the terrestrial networks and the satellite network will cause interference to each other, we first investigate the capacity performance of the terrestrial networks and the satellite networks separately, in which the optimal power control factor expression is derived. Then, by constructing the relationship model between user elevation angle, beam angle and distance, we develop a dynamic group pairing schemes to ensure the effective pairing of NOMA users. Based on the user pairing, to obtain the optimal resource allocation, a joint optimization algorithm of power allocation, beam channel and base station channel resource is proposed. Finally, simulation results are provided to evaluate the user paring scheme as well as the total system performance, in comparison with the existing works.

摘要

非正交多址接入(NOMA)已被广泛研究,以改善地面卫星综合网络(TSIN)的性能,因为频带资源短缺。在本文中,地面网络和卫星网络协同为地面用户提供完整的覆盖,并基于该架构,我们首先制定了一个约束优化问题,以在有限的频谱资源下最大化 TSIN 的和速率。由于地面网络和卫星网络会相互干扰,我们首先分别研究了地面网络和卫星网络的容量性能,推导出了最优功率控制因子表达式。然后,通过构建用户仰角、波束角和距离之间的关系模型,我们开发了一种动态分组配对方案,以确保 NOMA 用户的有效配对。基于用户配对,为了获得最优的资源分配,提出了一种功率分配、波束信道和基站信道资源的联合优化算法。最后,提供了仿真结果来评估用户配对方案以及与现有工作相比的总系统性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3361/8471850/d43e3f4c4658/sensors-21-06199-g001.jpg

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