Energy-Efficient Resource Allocation in Uplink Multiuser Massive MIMO Systems

Abstract EN

Energy-efficient communications, namely, green communications, has attracted increasing attention due to energy shortageand greenhouse effect.

Motivated by this, we consider the uplink energy-efficient resource allocation in multiuser massivemultiple-input multiple-output (MIMO) systems.

Specifically, we consider that both the number of antenna arrays at the base station(BS) and the transmit data rate at UE are adjusted adaptively to maximize the energy efficiency.

Firstly, we demonstrate the existenceof a unique resource allocation solution that is globally optimal by exploiting the properties of objective function.

Then we develop aniterative algorithm to solve it.

By transforming the originally fractional optimization problem into an equivalent subtractive form usingthe properties of fractional programming, we develop another efficient iterative resource allocation algorithm.

Simulation results havevalidated the effectiveness of the proposed two algorithms and have shown that both algorithms can fast converge to a near-optimalsolution in a small number of iterations.