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): 64-70.

• 算力网络与分布式云 • 上一篇    下一篇

硬件损伤下NOMA-MEC网络性能分析和优化

班嘉阳,叶迎晖,卢光跃,徐瑞   

  1. 西安邮电大学
  • 收稿日期:2022-05-28 修回日期:2022-08-23 出版日期:2023-04-28 发布日期:2023-05-14
  • 通讯作者: 叶迎晖 E-mail:connectyyh@126.com
  • 基金资助:
    陕西省重点科技创新团队计划基金资助项目;陕西省高校科协青年人才托举计划项目

Performance and optimization of NOMA-MEC networks with hardware impairments

  • Received:2022-05-28 Revised:2022-08-23 Online:2023-04-28 Published:2023-05-14
  • Contact: Ynghui Ye E-mail:connectyyh@126.com

摘要: 现有关于基于非正交多址(Non-Orthogonal Multiple Access,NOMA)边缘计算(Mobile Edge Computing,MEC)网络的研究均忽略了收发机存在硬件损伤这一情况,因而硬件损伤对NOMA-MEC网络计算性能的影响机理尚不清晰。本文考虑一个由两个边缘用户和一个边缘服务器构成的NOMA-MEC网络,利用随机过程等知识推导得到任意给定硬件损伤参数条件下的任务成功计算概率。在此基础上,通过优化部分卸载策略以及用户发射功率等参数来最大化任务成功计算概率,并求得该问题最优解的闭合表达式。仿真表明,1)硬件损伤情况将会导致成功计算概率瓶颈,即当NOMA用户发射功率无穷大的时候,成功计算概率趋向一个常数且该常数小于1;2)用户任务的成功计算概率会随着损伤参数增加而降低。

关键词: 硬件损伤, 非正交多址, 边缘计算, 成功计算概率

Abstract: Existing studies on mobile edge computing (MEC) networks based on non-orthogonal multiple access (NOMA) have ignored hardware impairments in the transceiver, and thus the impacts of hardware impairments on the NOMA-MEC networks is unclear in terms of the computational performance. A NOMA-MEC network consisting of two edge users and an MEC server is considered, and the probability of successful computation, for given hardware impairment parameters, is derived by means of stochastic processes. Based on this, the task successful computation probability is maximized by jointly optimizing the partial offloading strategy and the user transmit power, and the optimal solution is derived into the closed form. The simulations show that 1) hardware impairment causes a bottleneck in the probability of successful computation, i.e. when the NOMA user transmit power is infinite, the probability of successful computation tends to be a constant and that is less than one; 2) the probability of successful computation of the user task decreases as the impairment factor increases.

Key words: hardware impairment,, non-orthogonal multiple access,, edge computing, successful computation probability

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