Resource allocation for NOMA based networks using relays: cell centre and cell edge users

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
V. Balyan, Rifqah Daniels
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引用次数: 13

Abstract

Nonorthogonal multiple access (NOMA) transpire out as a solution to revamp the problem of spectral efficiency, allowing some level of interference at receivers. Recently, relays are utilized to improve access of cell edge users. The utilization of relays improves spectral efficiency with reduced outage probability. In this paper, the relays used have the capability of performing successive interference cancellation (SIC) for the users connected to it and regenerates only the signals of the users connected to it. The cell edge users are accessible to the base station in an environment where multiple relays are available, and where the user selects the link with the best channel quality. The user’s mobility is also considered during time sub-slot and used while obtaining the user’s ergodic rate and outage probability in the presence of a higher signal to noise ratio. Simulation results are used to show the performance improvement of the proposed method as compared to available work in literature.
使用中继的基于NOMA的网络的资源分配:小区中心和小区边缘用户
非正交多址(NOMA)作为一种改进频谱效率问题的解决方案而出现,允许接收端存在一定程度的干扰。近年来,利用中继来改善小区边缘用户的接入。继电器的使用提高了频谱效率,降低了中断概率。在本文中,所使用的继电器具有对连接到它的用户进行连续干扰消除(SIC)的能力,并且只再生连接到它的用户的信号。在有多个中继可用的环境中,基站可以访问蜂窝边缘用户,并且用户可以选择具有最佳信道质量的链路。在时间子时隙中考虑用户的移动性,并在获得较高信噪比下用户的遍历率和中断概率的同时加以利用。仿真结果表明,与现有文献相比,该方法的性能有所提高。
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来源期刊
CiteScore
2.70
自引率
8.30%
发文量
15
审稿时长
8 weeks
期刊介绍: nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity
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