Energy-efficient power allocation for massive MIMO-enabled multi-way AF relay networks with channel aging

EURASIP Journal on Wireless Communications and Networking

Fangqing Tan¹  Hongbin Chen¹  Xiaohuan Li¹  Feng Zhao² 

[1] Key Laboratory of Cognitive Radio and Information Processing, Guilin University of Electronic Technology;School of Electronics and Communication Engineering, Yulin Normal University;

关键词: Massive MIMO;    Multi-way relaying;    Channel aging;    Energy efficiency;    Power allocation;   

DOI  :  10.1186/s13638-018-1222-2

来源: DOAJ

【 摘 要 】

Abstract In this paper, we consider a massive MIMO-enabled multi-way amplify-and-forward relay network with channel aging, where multiple users mutually exchange information via an intermediate relay equipped with massive antennas. For this system, we propose an energy-efficient power allocation scheme for the optimization of energy efficiency (EE). Specifically, we firstly derive accurate closed-form expressions of the system sum rate with aged channel state information (CSI) and predicted CSI. Secondly, based on the derived analytical results, a unified power allocation optimization problem with aged/predicted CSI is formulated for maximizing the system EE. To solve this challenging problem, the successive convex approximation technique is invoked to transform the original optimization problem into a tractable concave fractional programming problem. Then, Dinkelbach’s algorithm and Lagrangian dual method are adopted to find the optimal solution. In addition, to strike a balance between the computational complexity and the optimality, the EE maximization problem using the equal power allocation scheme is solved by extreme value theorem, leading to a closed-form optimal solution. Numerical results demonstrate the accuracy of our analytical results and the effectiveness of the proposed algorithms. Moreover, the impact of several important system parameters on the system performance achieved by the proposed algorithms is also illustrated.

【 授权许可】

Unknown