Joint Pilot and Data Transmission Power Control and Computing Resource Allocation for the Massive MIMO Based MEC Network
Tiancong Huang, Yu Zhang, Haowei Wu, Weiheng Jiang, Chunan Yao, Mengying Xu, Jingcui Feng · 2019
In this paper, the joint communication and computation resource allocation problem for a single cell massive MIMO based mobile edge computing (MEC) network is discussed. In particular, we study the joint optimization of the pilot transmission power, data transmission power and the computing resource at the MEC server with the target of minimizing the maximal offloading delay over multiple users. Due to the non-convexity of the formulated problem and the defined optimal solution conditions, two suboptimal algorithms, i.e., the external point iteration and gradient descent based penalty function algorithm (EPF-GDA) and the external penalty function iteration based fruit fly optimization algorithm (EPF-FOA), are proposed to obtain the suboptimal solutions. The performance of the proposed algorithms, such as the users' offloading delay, is verified by numerical simulations. And our results confirm the great performance gain of the algorithm EPF-FOA over EPF-GDA under different circumstances.