C-NOMA system with adaptive SC-SBMRC diversity receiver over fading channels

IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Physical Communication Pub Date : 2024-09-06 DOI:10.1016/j.phycom.2024.102489
M. Ramadevi , S. Anuradha , L. PadmaSree
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Abstract

Cooperative Non Orthogonal Multiple Access (C-NOMA) has gained significant recent interest as a highly promising option in providing quality of service to the users. It is a key component of upcoming communication systems. The primary objective of our work is to improve the downlink CNOMA system’s performance with a single ground station and two users by considering perfect channel. The fading effect causes a decrease in system performance. To improve system performance, the existing Selection Combining (SC) and Maximal Ratio Combining (MRC) diversity approaches are inadequate. In order to enhance performance, the proposed Adaptive Selection Combining and Selective Branch Maximal Ratio Combining diversity technique (SC-SBMRC) is used in downlink C-NOMA system at the receiver for fusion. Bit Error Rate and Outage Probability metrics are used to assess C-NOMA system’s performance with different fading channels. The proposed system taken in to consideration of Nakagami-m and Rayleigh generalized fading channels with ‘αημ’ distribution by incorporating three essential fading parameters. The simulation experiments were carried out by using MATLAB Software. From the results it is observed that the Bit Error Rate is reduced from 4.8×101 to 3.0×103and also the Outage Probability enhanced from 9.6×102 to 9.4×103. Based on the numerical findings, the Cooperative Non-Orthogonal Multiple Access system with Adaptive SC-SBMRC diversity technique shows superior performance as compared to conventional C-NOMA system in providing quality of service to distant user.
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衰减信道上带有自适应 SC-SBMRC 分集接收器的 C-NOMA 系统
合作非正交多址接入(C-NOMA)作为向用户提供优质服务的一种极有前途的选择,最近已引起了人们的极大兴趣。它是未来通信系统的关键组成部分。我们工作的主要目标是在考虑完美信道的情况下,提高单个地面站和两个用户的下行链路 CNOMA 系统的性能。衰减效应会降低系统性能。为了提高系统性能,现有的选择组合(SC)和最大比率组合(MRC)分集方法是不够的。为了提高性能,在下行链路 C-NOMA 系统中,在接收器处使用了所提出的自适应选择组合和选择性分支最大比组合分集技术(SC-SBMRC)进行融合。比特误码率和中断概率指标用于评估 C-NOMA 系统在不同衰落信道下的性能。所提议的系统考虑到了具有 "α-η-μ "分布的 Nakagami-m 和 Rayleigh 广义衰落信道,并纳入了三个基本衰落参数。模拟实验使用 MATLAB 软件进行。结果表明,比特误码率从 4.8×10-1 降低到 3.0×10-3,中断概率从 9.6×10-2 提高到 9.4×10-3。根据数值结果,与传统的 C-NOMA 系统相比,采用自适应 SC-SBMRC 分集技术的合作式非正交多路存取系统在为远距离用户提供优质服务方面表现出更优越的性能。
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来源期刊
Physical Communication
Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS
CiteScore
5.00
自引率
9.10%
发文量
212
审稿时长
55 days
期刊介绍: PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.
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