北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2023, Vol. 46 ›› Issue (2): 71-77.

• 算力网络与分布式云 • 上一篇    下一篇

反向散射辅助的无线供能NOMA-MEC网络中公平性优化研究

付志远,施丽琴,叶迎晖,卢光跃   

  1. 西安邮电大学
  • 收稿日期:2022-05-18 修回日期:2022-09-18 出版日期:2023-04-28 发布日期:2023-05-14
  • 通讯作者: 施丽琴 E-mail:liqinshi@hotmail.com
  • 基金资助:
    陕西省自然科学基金

Research on Fairness Optimization in a Backscatter Assisted Wirelessly Powered NOMA-MEC Network

  • Received:2022-05-18 Revised:2022-09-18 Online:2023-04-28 Published:2023-05-14
  • Supported by:
    Natural Science Foundation of Shaanxi Province

摘要: 为了解决物联网节点的能量短缺问题和计算能力有限问题,将非正交多址接入(Non-orthogonal Multiple Access, NOMA)技术引入到反向散射通信(Backscatter Communication, BackCom)辅助的无线供能边缘计算(Mobile Edge Computing, MEC)网络,构建一个BackCom辅助的无线供能NOMA-MEC网络。该网络不仅可以发挥BackCom与主动传输结合的优势,也可以发挥NOMA的技术优势,进一步提高网络的频谱效率。为了保障物联网节点的计算比特数公平性,基于最大最小准则,以最大化最差物联网节点计算比特数为目标,通过联合优化物联网节点的能量收集时间、反向散射时间、反向散射系数、NOMA传输时间、NOMA发射功率、本地计算频率和本地计算时间来构建一个满足能量因果和计算能力等约束的非凸优化问题。然后通过反证法求得每个节点最佳本地计算时间,并代入到原问题。之后通过辅助变量法来解耦物联网节点的反向散射系数与反向散射时间。针对NOMA技术引入的共道干扰问题,以物联网节点卸载比特数表达式的下界替换复杂的卸载比特数表达式,得到一个易于求解的子优化问题并采用变量替换法将其转换为凸问题形式,最后,通过不断优化该子优化问题来逼近原问题的最优解并提出相应的迭代算法。仿真结果验证了所提算法的快速收敛性和准确性,并表明相比于现有方案,所提出方案能很好地保障所研究网络中各物联网节点之间的计算比特数公平性。

关键词: 反向散射技术, 无线供能通信, 非正交多址接入技术, 移动边缘计算网络, 公平性

Abstract: In order to solve the problem of energy shortage and limited computing power of Internet of Things (IoT) nodes, In this paper, non-orthogonal Multiple Access (NOMA) technology is introduced into a backscatter communication (BackCom) assisted wireless powered mobile edge computing (MEC) network to construct a BackCom assisted wireless powered NOMA-MEC network.This network can not only take advantage of the combination of BackCom and active transmission, but also take advantage of the technical advantages of NOMA to further improve the spectrum efficiency of the network. In order to ensure the fairness of the computation bits at IoT nodes, based on the max-min criterion, this paper aims to maximize the computation bits at the worst IoT nodes. By jointly optimizing the energy harvesting time, backscattering time, backscattering coefficient, NOMA transmission time, NOMA transmit power, local computation frequency and local computation time of IoT nodes, a non-convex optimization problem is formulated to satisfy the constraints of energy causality and computation power. Then, the optimal local computation time of each node is obtained by proof by contradiction and substituted into the original problem. Then, the backscattering coefficient and backscattering time of IoT nodes are decoupled by means of the auxiliary variable method. As for the co-channel interference introduced by the NOMA technology, we replace the complex expression of the offloading bits with its low bound to achieve a more simple sub-problem and convert the sub-problem to a convex one by means of the variable substitution method. Finally, by optimizing the above sub-problem,we propose a corresponding iterative algorithm to achieve the optimal solution. The simulation results verify the fast convergence and accuracy of the proposed algorithm, and show that compared with the existing schemes, the proposed scheme can better guarantee the fairness of the computation bits among the IoT nodes in the investigated network.

Key words: BackCom, Wireless Powered Communication, NOMA, MEC, Fairness

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