不完美 CSI 和 SIC 条件下基于下层 CR-NOMA 的 D2D 通信的中断性能

Q3 Mathematics
AD Meriem, Khelil Abdellatif
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引用次数: 0

摘要

非正交多址接入(NOMA)是未来提高无线通信性能的一种有前途的技术。除 NOMA 外,认知无线电(CR)是另一种可以解决有限频谱可用性问题并满足日益增长的无线连接需求的技术。本文重点研究了基于 CR-NOMA 的底层 D2D 通信。本文推导了三种情况下远端用户的中断概率(OP)和吞吐量的闭式表达式:(在 CR-NOMA 模式下,结果表明用户 D4 的性能优于用户 D3。此外,采用 CR-NOMA 模式的远端用户的 OP 性能超过了采用 CR-OMA 模式的用户。蒙特卡罗模拟验证了推导出的分析表达式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Outage Performance of Underlay CR-NOMA-based D2D Communications under Imperfect CSI and SIC
Non-orthogonal multiple access (NOMA) is a promising technique for improving wireless communication performance in the future. In addition to NOMA, cognitive radio (CR) is another technology that can address the issue of limited spectrum availability and meet the increasing demands for wireless connectivity. This paper focuses on investigating underlay CR-NOMA-based D2D communications. The study assumes a decode-and-forward (DF) mode used in the system, where nearby users (D1, D2) act as helper users to assist distant users (D3, D4). The paper derives the closed-form expressions for outage probability (OP) and throughput at the far users in three scenarios: (1) Perfect successive interference cancellation (SIC) and perfect channel state information (CSI), (2) Imperfect CSI, and (3) Imperfect SIC. In CR-NOMA mode, the results indicate that the performance of user D4 was better than user D3. Additionally, the OP performance of distant users employing CR-NOMA mode surpasses that of users using CR-OMA mode. The optimal power allocation (PA) values are investigated. The presence of imperfect CSI and SIC has an unfavorable influence on the outage performance. Monte Carlo simulations are used to validate the derived analytical expressions.
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来源期刊
International Journal of Sensors, Wireless Communications and Control
International Journal of Sensors, Wireless Communications and Control Engineering-Electrical and Electronic Engineering
CiteScore
2.20
自引率
0.00%
发文量
53
期刊介绍: International Journal of Sensors, Wireless Communications and Control publishes timely research articles, full-length/ mini reviews and communications on these three strongly related areas, with emphasis on networked control systems whose sensors are interconnected via wireless communication networks. The emergence of high speed wireless network technologies allows a cluster of devices to be linked together economically to form a distributed system. Wireless communication is playing an increasingly important role in such distributed systems. Transmitting sensor measurements and control commands over wireless links allows rapid deployment, flexible installation, fully mobile operation and prevents the cable wear and tear problem in industrial automation, healthcare and environmental assessment. Wireless networked systems has raised and continues to raise fundamental challenges in the fields of science, engineering and industrial applications, hence, more new modelling techniques, problem formulations and solutions are required.
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