Joint Power Allocation and User Association Optimization for Massive MIMO Systems

被引:130
|
作者
Trinh Van Chien [1 ]
Bjornson, Emil [1 ]
Larsson, Erik G. [1 ]
机构
[1] Linkoping Univ, Dept Elect Engn ISY, S-58183 Linkoping, Sweden
基金
欧盟地平线“2020”;
关键词
Massive MIMO; user association; power allocation; load balancing; linear program; CELLULAR WIRELESS; NETWORKS; COMMUNICATION;
D O I
10.1109/TWC.2016.2583436
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper investigates the joint power allocation and user association problem in multi-cell Massive MIMO (multiple-input multiple-output) downlink (DL) systems. The target is to minimize the total transmit power consumption when each user is served by an optimized subset of the base stations (BSs), using non-coherent joint transmission. We first derive a lower bound on the ergodic spectral efficiency (SE), which is applicable for any channel distribution and precoding scheme. Closed-form expressions are obtained for Rayleigh fading channels with either maximum ratio transmission (MRT) or zero forcing (ZF) precoding. From these bounds, we further formulate the DL power minimization problems with fixed SE constraints for the users. These problems are proved to be solvable as linear programs, giving the optimal power allocation and BS-user association with low complexity. Furthermore, we formulate a max-min fairness problem that maximizes the worst SE among the users, and we show that it can be solved as a quasi-linear program. Simulations manifest that the proposed methods provide good SE for the users using less transmit power than in small-scale systems and the optimal user association can effectively balance the load between BSs when needed. Even though our framework allows the joint transmission from multiple BSs, there is an overwhelming probability that only one BS is associated with each user at the optimal solution.
引用
收藏
页码:6384 / 6399
页数:16
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