Transmission scheme for collaborative-RIS-aided NOMA system with multiple channels

IF 1.5 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Heyi Li, Hong Wang, Peiqi Li, Peiyu Wang
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Abstract

This paper investigates the combination of collaborative reconfigurable intelligent surface (RIS) with non-orthogonal multiple access (NOMA) to enhance the quality of service (QoS) in communication systems. By introducing collaborative RIS, a virtual line-of-sight (LoS) link can be established between the base station (BS) and the users. In this article, the aim is to minimize the total transmit power under the constraint of each user's QoS by optimizing the phase shifts and the power allocation coefficients. To proceed, two approaches are proposed with different complexities to solve the formulated power minimization problem. Specifically, in the first method, a sub-channel allocation scheme based on the user locations is developed, and the phase shifts are optimized to obtain the minimum transmit power for fixed channel assignment, which is further addressed by using the alternating optimization and the sequence rotation methods. In the second approach, a joint optimization algorithm that achieves the channel assignment vectors and the phase shift coefficients in an alternative manner, and a sub-channel assignment algorithm based on the equivalent channel gain is developed. The simulation results show that the proposed transmission scheme has the capability of improving system performance significantly compared with the conventional schemes.

Abstract Image

多通道协同ris辅助NOMA系统的传输方案
研究了协作可重构智能面(RIS)与非正交多址(NOMA)的结合,以提高通信系统的服务质量(QoS)。通过引入协同RIS,可以在基站(BS)和用户之间建立虚拟视距(LoS)链路。本文的目标是通过优化相移和功率分配系数,在每个用户的QoS约束下使总发射功率最小。接着,提出了两种不同复杂程度的方法来解决公式化的功率最小化问题。具体而言,在第一种方法中,开发了一种基于用户位置的子信道分配方案,并对相移进行了优化,以获得固定信道分配的最小发射功率,并通过交替优化和序列旋转方法进一步解决了这一问题。在第二种方法中,提出了一种以替代方式实现信道分配矢量和相移系数的联合优化算法,以及基于等效信道增益的子信道分配算法。仿真结果表明,与传统传输方案相比,所提出的传输方案具有显著提高系统性能的能力。
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来源期刊
IET Communications
IET Communications 工程技术-工程:电子与电气
CiteScore
4.30
自引率
6.20%
发文量
220
审稿时长
5.9 months
期刊介绍: IET Communications covers the fundamental and generic research for a better understanding of communication technologies to harness the signals for better performing communication systems using various wired and/or wireless media. This Journal is particularly interested in research papers reporting novel solutions to the dominating problems of noise, interference, timing and errors for reduction systems deficiencies such as wasting scarce resources such as spectra, energy and bandwidth. Topics include, but are not limited to: Coding and Communication Theory; Modulation and Signal Design; Wired, Wireless and Optical Communication; Communication System Special Issues. Current Call for Papers: Cognitive and AI-enabled Wireless and Mobile - https://digital-library.theiet.org/files/IET_COM_CFP_CAWM.pdf UAV-Enabled Mobile Edge Computing - https://digital-library.theiet.org/files/IET_COM_CFP_UAV.pdf
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