NOMA增强了在空间-空气-地面综合网络中的节能数据收集和无线电力传输

IF 3.1 3区 计算机科学 Q2 TELECOMMUNICATIONS China Communications Pub Date : 2023-08-01 DOI:10.23919/JCC.fa.2023-0017.202308
Congzhou Zhou, Shuo Shi, Chenyu Wu, Zhenyu Xu
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引用次数: 0

摘要

随着第六代网络(6G)的出现,远程物联网(IoRT)已成为一个关键问题。然而,传统的地面网络不能满足IoRT网络的延迟敏感数据采集需求,而天空地一体化网络(SAGIN)具有很大的前景。我们提出了一种集成了非正交多址(NOMA)和无线电力传输(WPT)的新设置,以收集来自IoRT网络的延迟敏感数据。为了延长设备的使用寿命,我们的目标是尽量减少所有IoRT设备的最大能耗。由于变量之间的耦合,所得到的问题是非凸的。我们首先解耦变量并将原始问题分解为四个子问题。然后,我们提出了一种基于连续凸逼近(SCA)技术和松弛变量的迭代算法来求解相应的子问题。最后,仿真结果表明,NOMA策略在网络寿命和能源效率方面比OMA方案具有巨大的优势,提供了有价值的见解。
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NOMA empowered energy efficient data collection and wireless power transfer in space-air-ground integrated networks
As the sixth generation network (6G) emerges, the Internet of remote things (IoRT) has become a critical issue. However, conventional terrestrial networks cannot meet the delay-sensitive data collection needs of IoRT networks, and the Space-Air-Ground integrated network (SAGIN) holds promise. We propose a novel setup that integrates non-orthogonal multiple access (NOMA) and wireless power transfer (WPT) to collect latency-sensitive data from IoRT networks. To extend the lifetime of devices, we aim to minimize the maximum energy consumption among all IoRT devices. Due to the coupling between variables, the resulting problem is non-convex. We first decouple the variables and split the original problem into four subproblems. Then, we propose an iterative algorithm to solve the corresponding subproblems based on successive convex approximation (SCA) techniques and slack variables. Finally, simulation results show that the NOMA strategy has a tremendous advantage over the OMA scheme in terms of network lifetime and energy efficiency, providing valuable insights.
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来源期刊
China Communications
China Communications 工程技术-电信学
CiteScore
8.00
自引率
12.20%
发文量
2868
审稿时长
8.6 months
期刊介绍: China Communications (ISSN 1673-5447) is an English-language monthly journal cosponsored by the China Institute of Communications (CIC) and IEEE Communications Society (IEEE ComSoc). It is aimed at readers in industry, universities, research and development organizations, and government agencies in the field of Information and Communications Technologies (ICTs) worldwide. The journal's main objective is to promote academic exchange in the ICTs sector and publish high-quality papers to contribute to the global ICTs industry. It provides instant access to the latest articles and papers, presenting leading-edge research achievements, tutorial overviews, and descriptions of significant practical applications of technology. China Communications has been indexed in SCIE (Science Citation Index-Expanded) since January 2007. Additionally, all articles have been available in the IEEE Xplore digital library since January 2013.
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