English

BOOST: Base station on-off switching strategy for energy efficient massive MIMO HetNets

Networking and Internet Architecture 2016-11-01 v1 Information Theory math.IT

Abstract

In this paper, we investigate the problem of optimal base station (BS) ON-OFF switching and user association in a heterogeneous network (HetNet) with massive MIMO, with the objective to maximize the system energy efficiency (EE). The joint BS ON-OFF switching and user association problem is formulated as an integer programming problem. We first develop a centralized scheme, in which we relax the integer constraints and employ a series of Lagrangian dual methods that transform the original problem into a standard linear programming (LP) problem. Due to the special structure of the LP, we prove that the optimal solution to the relaxed LP is also feasible and optimal to the original problem. We then propose a distributed scheme by formulating a repeated bidding game for users and BS's, and prove that the game converges to a Nash Equilibrium (NE). Simulation studies demonstrate that the proposed schemes can achieve considerable gains in EE over several benchmark schemes in all the scenarios considered.

Keywords

Cite

@article{arxiv.1601.04219,
  title  = {BOOST: Base station on-off switching strategy for energy efficient massive MIMO HetNets},
  author = {Mingjie Feng and Shiwen Mao and Tao Jiang},
  journal= {arXiv preprint arXiv:1601.04219},
  year   = {2016}
}

Comments

in Proc. IEEE INFOCOM 2016

R2 v1 2026-06-22T12:30:55.300Z