系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (2): 651-661.doi: 10.12305/j.issn.1001-506X.2022.02.36

• 通信与网络 • 上一篇    下一篇

MC-NOMA增强型反向散射网络中的谱能效率均衡优化

李兰花1,2, 黄晓霞3,*   

  1. 1. 中国科学院深圳先进技术研究院, 广东 深圳 518055
    2. 中国科学院大学深圳先进技术学院, 广东 深圳 518055
    3. 中山大学电子与通信工程学院, 广东 广州 510275
  • 收稿日期:2021-02-22 出版日期:2022-02-18 发布日期:2022-02-24
  • 通讯作者: 黄晓霞
  • 作者简介:李兰花 (1989—), 女, 博士研究生, 主要研究方向为绿色无线通信网络的资源分配和效能优化设计|黄晓霞 (1981—), 女, 教授, 博士研究生导师, 博士, 主要研究方向为绿色无线通信网络、智能无线网络和网络资源优化
  • 基金资助:
    国家重点研发计划(2020YFB1806204);国家自然科学基金(U1501255);广东省特支计划科技创新青年拔尖人才(2016TQ03X279);中山大学中央高校基本科研业务费专项资金资助课题

Spectrum and energy efficiency tradeoff in MC-NOMA enhanced backscatter networks

Lanhua LI1,2, Xiaoxia HUANG3,*   

  1. 1. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
    2. Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China
    3. School of Electronics and Communication Engineering, SunYat-sen University, Guangzhou 510275, China
  • Received:2021-02-22 Online:2022-02-18 Published:2022-02-24
  • Contact: Xiaoxia HUANG

摘要:

环境信号的不确定性导致不可预测的谱能机会。传输机会和能源供应的缺乏给反向散射通信网络的多址接入设计带来了极大的挑战。本文针对多载波非正交多址接入(multicarrier non-orthogonal multiple access, MC-NOMA)增强型反向散射网络, 提出了一种分阶段优化算法实现均衡调控下的谱能效率最大化, 该问题是非凸的且难以求解。因此, 首先将该问题分解成子载波分配和反射系数优化两个子问题, 然后基于Gale-Shapley匹配原理提出多对一稳定匹配算法求解最佳的子载波分配, 最后利用凸优化理论求反射系数优化。仿真结果表明, 与动态MC-NOMA方案(dynamic MC-NOMA, D-NOMA)和正交多址接入方案(orthogonal multiple access, OMA)相比, 所提优化方案在谱效和能效上均有显著的提升。

关键词: 频谱效率, 能效, 多载波非正交多址接入, 反向散射通信

Abstract:

The nondeterministic nature of ambient signals results in unpredictable spectrum and energy opportunities. The shortage of transmission opportunities and energy supply brings a great challenge in designing the multiple access scheme in backscatter communication networks. A phased optimization algorithm is proposed to maximize the balanced spectrum and energy efficiency for the multicarrier non-orthogonal multiple access (MC-NOMA) enhanced backscatter networks. However, the formulated problem is non-convex, which is computationally difficult to solve. Hence, the optimization problem is further divided into two sub-problems, i.e. the subcarrier allocation and the reflection coefficient optimization. Based on the Gale-Shapley matching theory, a many-to-one matching algorithm is proposed to obtain the optimal subcarrier allocation. Then, the reflection coefficient optimization is solved with the convex optimization theory. The simulation results show that the spectrum and energy efficiency can be significantly improved by the proposed optimization scheme, compared to the dynamic MC-NOMA scheme (D-NOMA) and the orthogonal multiple access scheme (OMA).

Key words: spectrum efficiency, energy efficiency, multicarrier non-orthogonal multiple access (MC-NOMA), backscatter communication

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