Massive MIMO under Double Scattering Channels: Power Minimization and Congestion Controls

TL;DR

This paper analyzes a massive MIMO system with double scattering channels, deriving spectral efficiency expressions and proposing power and congestion control algorithms to ensure user SE requirements with limited power.

Contribution

It introduces a closed-form spectral efficiency expression and novel algorithms for power minimization and congestion control in massive MIMO systems with double scattering channels.

Findings

Proposed power optimization effectively reduces uplink power consumption.

Algorithms successfully handle congestion, ensuring user SE requirements.

Numerical results validate the effectiveness of the proposed methods.

Abstract

This paper considers a massive MIMO system under the double scattering channels. We derive a closed-form expression of the uplink ergodic spectral efficiency (SE) by exploiting the maximum-ratio combining technique with imperfect channel state information. We then formulate and solve a total uplink data power optimization problem that aims at simultaneously satisfying the required SEs from all the users with limited power resources. We further propose algorithms to cope with the congestion issue appearing when at least one user is served by lower SE than requested. Numerical results illustrate the effectiveness of our proposed power optimization. More importantly, our proposed congestion-handling algorithms can guarantee the required SEs to many users under congestion, even when the SE requirement is high.