Energy Efficiency Optimization for Massive MIMO Non-Orthogonal Unicast and Multicast Transmission with Statistical CSI

Wang Wang,Huang Huang,You You,Xiong Xiong,Gao Gao,Li Li

doi:10.3390/electronics8080857

Wang Wang, Huang Huang + Show 4 more

Open Access

https://doi.org/10.3390/electronics8080857

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Journal: Electronics	Publication Date: Aug 1, 2019
Citations: 9	License type: CC BY 4.0

Affiliation: Southeast University

Abstract

We study the energy efficiency (EE) optimization problem in non-orthogonal unicast and multicast transmission for massive multiple-input multiple-output (MIMO) systems with statistical channel state information of all receivers available at the transmitter. Firstly, we formulate the EE maximization problem. We reduce the number of variables to be solved and simplify this large-dimensional-matrix-valued problem into a real-vector-valued problem. Next, we lower the computational complexity significantly by replacing the objective with its deterministic equivalent to avoid the high-complex expectation operation. With guaranteed convergence, we propose an iterative algorithm on beam domain power allocation using the minorize maximize algorithm and Dinkelbach’s transform and derive the locally optimal power allocation strategy to achieve the optimal EE. Finally, we illustrate the significant EE performance gain of our EE maximization algorithm compared with the conventional approach through conducting numerical simulations.

Highlights

As mobile data expands rapidly, it is expected that global wireless data traffic will surpass100 exabytes per month by 2023 [1]
Systems with statistical channel state information (CSI) at the transmitter has not been studied yet. We investigate this problem in our work, and the major contributions we provide in this paper are listed as follows:
We reduce the computational complexity of the EE optimization problem significantly by replacing the objective function with its deterministic equivalent (DE)

Summary

Introduction

As mobile data expands rapidly, it is expected that global wireless data traffic will surpass. In [11], rate maximization problem for NOUM massive MIMO transmission was considered, and the EE maximization problem for physical-layer multicast transmission was investigated in [29], both assumed that the BS only has access to the UTs’ statistical CSI. The research on EE optimization of NOUM transmission for massive MIMO systems with statistical CSI at the transmitter has not been studied yet. We investigate this problem in our work, and the major contributions we provide in this paper are listed as follows:.

System Model

Problem Formulation

Optimal Transmit Directions

Energy-Efficient Power Allocation for NOUM Transmission

Numerical Results

Conclusions