Buffer-Aided Cooperative NOMA: An Energy-Efficient Design

IF 1.5 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Baoyi Xu, Li Zhao, Yunpeng Feng, Long Yang, Yuchen Zhou, Bingtao He, Lu Lv
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Abstract

This paper investigates a buffer-aided cooperative non-orthogonal multiple access scheme for simultaneous wireless information and power transfer systems, where the near users are equipped with data and energy buffers. To improve the overall energy efficiency, the transmission mode of the considered system adaptively chooses the base station or near-user transmission mode. Given the target quality of service and limited resources, the long-term power consumption minimization is formulated by a mixed integer non-linear programming problem, where the model selection, user scheduling, and power consumption are jointly optimized. To efficiently tackle such a challenging problem, we transform the original problem into an instantaneous non-convex problem by employing the Lyapunov optimization framework. Then, using the successive convex approximation algorithms, we approximate the instantaneous non-convex problem as a linear programming problem, where the Karush–Kuhn–Tucker solution of the power allocation can be obtained. The optimality and complexity of the proposed scheme are theoretically analyzed. The simulation results show that the proposed scheme can achieve a near-optimal performance and significantly improves the energy efficiency compared with the conventional transmission schemes.

Abstract Image

缓冲辅助协同NOMA:一种节能设计
本文研究了一种基于缓冲辅助的非正交多址协作方案,该方案适用于同时传输的无线信息和电力系统,在该系统中,附近用户配备了数据和能量缓冲器。为了提高整体能源效率,所考虑的系统的传输方式自适应地选择基站或近用户传输方式。在目标服务质量和资源有限的情况下,将模型选择、用户调度和功耗共同优化的混合整数非线性规划问题表述为长期功耗最小化问题。为了有效地解决这一具有挑战性的问题,我们采用Lyapunov优化框架将原始问题转化为瞬时非凸问题。然后,利用逐次凸逼近算法,将瞬时非凸问题近似为线性规划问题,得到功率分配的Karush-Kuhn-Tucker解。从理论上分析了该方案的最优性和复杂度。仿真结果表明,与传统的传输方案相比,该方案能达到近乎最优的传输性能,并显著提高了传输效率。
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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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