BER Performance Of Co-Operative Relay NOMA-Assisted PS Protocol With Imperfect SIC And CSI

Q3 Mathematics
Faical Khennoufa, Khelil Abdellatif
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引用次数: 0

Abstract

Wireless networks and devices are consuming a significant amount of energy as wireless communication is rapidly expanding, radio frequency (RF) energy harvesting has been envisioned as a feasible technology for powering low-power wireless systems. This paper investigates a bit error rate (BER) of the non-orthogonal multiple access with cooperative relay-assisted power splitting (CR-NOMA-PS) based energy harvesting (EH). We consider that the relay works in the decode-forward (DF) mode. For more practical scenarios, we consider the imperfect successive interference cancellation (SIC) and channel state information (CSI) are available. We obtain the end-to-end (e2e) BER expressions for the CR-NOMA-PS with imperfect CSI. Under different scenarios of PS, we evaluate and discuss the BER performance of the users with imperfect SIC and CSI. We validate the derivation of the BER expressions by simulation results. The results indicated that the high values of the PS factor reduce the users' performance. Furthermore, in the high signal-to-noise ratio (SNR), the CSI error degrade BER performance and produced an error floor.
具有不完善SIC和CSI的协同中继noma辅助PS协议的误码率性能
随着无线通信的迅速发展,无线网络和设备正在消耗大量的能量,射频(RF)能量收集已被设想为一种为低功耗无线系统供电的可行技术。研究了基于协同中继辅助功率分割(CR-NOMA-PS)的非正交多址误码率(BER)。我们认为中继工作在前译码(DF)模式。对于更实际的场景,我们考虑不完全连续干扰抵消(SIC)和信道状态信息(CSI)是可用的。我们得到了具有不完全CSI的CR-NOMA-PS的端到端(e2e)误码率表达式。在不同的PS场景下,我们评估和讨论了不完全SIC和不完全CSI用户的误码率性能。通过仿真结果验证了误码率表达式的推导。结果表明,PS因子的高值会降低用户的性能。此外,在高信噪比(SNR)下,CSI误差会降低误码率性能并产生误差层。
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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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