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Joint Communication and Computation Cooperation in Wireless-Powered Mobile-Edge Computing Networks With NOMA
IEEE Internet of Things Journal ( IF 10.6 ) Pub Date : 2023-01-11 , DOI: 10.1109/jiot.2023.3236089
Sheng Zeng, Xiaohong Huang, Dandan Li

Incorporating wireless power transfer (WPT) into mobile-edge computing (MEC) is an effective way to enhance the self-sustainability of the MEC network. However, it is susceptible to the effect of double-far-near. Meanwhile, inspired by the fact that nonorthogonal multiple access (NOMA) has shown its great potential in improving the spectral efficiency of the network over orthogonal multiple access, this article investigates a cooperative computation offloading scheme for a basic three-node wireless-powered MEC scenario with NOMA, where users overcome the effect of double-far-near through joint communication and computation cooperation. Specifically, we consider a “harvest-then-offload” protocol composed of three stages. In the first stage, users harvest wireless energy signals from the access point (AP). In the second and third stages, based on NOMA, users offload their partial computing tasks on the same time–frequency resource block by using the harvested energy, in which the near user can cooperatively compute and forward the computing task of the far user. We formulate an optimization problem to minimize the transmission energy consumption of the AP by jointly optimizing the transmission power, the offloading coefficient, and the duration of each stage. Due to the nonconvexity of the formulated problem, we first transform it into an equivalent one by using the variable substitution method. Then, we propose an efficient iterative algorithm based on the successive convex approximation (SCA) and Lagrangian duality method to solve this transformed problem. Simulation results show that the proposed algorithm has good convergence and the proposed scheme can achieve the best performance compared with several baseline schemes, which highlights the superiority of the proposed scheme.

中文翻译:

与 NOMA 的无线供电移动边缘计算网络中的联合通信和计算合作

将无线电力传输 (WPT) 纳入移动边缘计算 (MEC) 是增强 MEC 网络自我可持续性的有效途径。但是,它容易受到双远近的影响。同时,受非正交多址接入 (NOMA) 在提高正交多址接入网络频谱效率方面的巨大潜力的启发,本文研究了一种基本的三节点无线供电 MEC 场景的协同计算卸载方案与 NOMA,用户通过联合通信和计算合作克服双远近效应。具体来说,我们考虑由三个阶段组成的“收获然后卸载”协议。在第一阶段,用户从接入点 (AP) 获取无线能量信号。在第二和第三阶段,基于NOMA,用户利用收集到的能量将自己的部分计算任务卸载到同一时频资源块上,近端用户可以协同计算并转发远端用户的计算任务。我们制定了一个优化问题,通过联合优化传输功率、卸载系数和每个阶段的持续时间来最小化 AP 的传输能量消耗。由于公式化问题的非凸性,我们首先使用变量替换法将其转化为一个等价的问题。然后,我们提出了一种基于逐次凸近似 (SCA) 和拉格朗日对偶方法的高效迭代算法来解决这个转换后的问题。
更新日期:2023-01-11
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