利用部分中继选择的增量中继提高下层认知 NOMA 网络性能

IF 1.3 4区工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Latin America Transactions Pub Date : 2024-06-18 DOI:10.1109/TLA.2024.10562255

Archana P;Harigovindan V P;Griffith Faustina G;Babu A V

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引用次数: 0

摘要

在本文中，我们考虑了一个底层认知非正交多址（CNOMA）网络，其中为二次网络提出了部分中继选择（PRS）增量中继方案（即 IRP 方案）。我们推导出 IRP-CNOMA 网络的二次用户（SU）中断概率和系统吞吐量的分析表达式。我们将提出的方法与采用 PRS 方案（即 CRP-CNOMA）和随机中继选择 (RRS) 方案的传统基于合作中继的 CNOMA（CR-CNOMA）网络进行了比较。结果表明，建议的方案大大降低了 SU 的中断概率，同时提高了系统吞吐量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Incremental Relaying with Partial Relay Selection for Enhancing the Performance of Underlay Cognitive NOMA Networks

In this paper, we consider an underlay cognitive non-orthogonal multiple access (CNOMA) network, where incremental relaying with partial relay selection (PRS) scheme (i.e., IRP scheme) is proposed for the secondary network. We derive analytical expressions for the outage probabilities of the secondary users (SUs) and the system throughput of the IRP-CNOMA network. The proposed approach is compared to conventional cooperative relaying-based CNOMA (CR-CNOMA) networks with PRS scheme (i.e., CRP-CNOMA) and random relay selection (RRS) scheme. The results show that the proposed scheme significantly lowers the outage probability of the SUs while improving the system throughput.

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来源期刊

IEEE Latin America Transactions COMPUTER SCIENCE, INFORMATION SYSTEMS-ENGINEERING, ELECTRICAL & ELECTRONIC

CiteScore

3.50

自引率

7.70%

发文量

192

审稿时长

3-8 weeks

期刊介绍： IEEE Latin America Transactions (IEEE LATAM) is an interdisciplinary journal focused on the dissemination of original and quality research papers / review articles in Spanish and Portuguese of emerging topics in three main areas: Computing, Electric Energy and Electronics. Some of the sub-areas of the journal are, but not limited to: Automatic control, communications, instrumentation, artificial intelligence, power and industrial electronics, fault diagnosis and detection, transportation electrification, internet of things, electrical machines, circuits and systems, biomedicine and biomedical / haptic applications, secure communications, robotics, sensors and actuators, computer networks, smart grids, among others.