Energy-Efficient Resource Allocation in Single-RF Load-Modulated Massive MIMO HetNets

IEEE Open Journal of the Communications Society

Chintha Tellambura¹  Mahtab Ataeeshojai¹  Witold A. Krzymien¹  Robert C. Elliott¹  Jordan Melzer² 

[1] Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada;Department of Technology Stategy, TELUS Communications, Ottawa, Canada;

关键词: Multiple-input-multiple-output (MIMO) system;    small cells;    energy efficiency;    interference management;    radio resource allocation;    heterogeneous cellular networks (HetNets);   

DOI  :  10.1109/OJCOMS.2020.3032351

来源: DOAJ

【 摘 要 】

Due to the dramatic increase in wireless data traffic and the associated increase in energy consumption, designing energy-efficient wireless networks with improved spectral efficiency is a pressing concern. The focus of this article is the design of a green, highly energy-efficient cellular heterogeneous network (HetNet) by taking advantage of multiple-input-multiple-output (MIMO) structure and deployment of small cells. We consider the downlink of a two-tier HetNet, in which multiple-antenna small cells are coordinated to serve users. Even though the deployment of MIMO together with small cells improves the communication system's performance in terms of data rate and reliability, circuit energy consumption in such a network is a critical issue. To address this, an energy-efficient antenna selection and radio resource block assignment algorithm is proposed for the small cells, and a single radio-frequency (RF) chain structure is considered for the massive MIMO macro base station. Then, while coordinating transmissions between cells subject to user-centric clustering, an energy-efficient beamforming design and power allocation optimization problem with respect to the quality of service requirement of users, transmit power budget of base stations, and fronthaul capacity is formulated; the problem is solved using the Dinkelbach method. Simulation results demonstrate the performance potential of our proposed algorithm in terms of energy efficiency and spectral efficiency.

【 授权许可】

Unknown