Energy Efficient Iterative Waterfilling for the MIMO Broadcasting Channels

TL;DR

This paper proposes an energy-efficient iterative waterfilling algorithm for MIMO broadcast channels, leveraging uplink-downlink duality and block-coordinate ascent to optimize power use and improve system energy efficiency.

Contribution

It introduces a novel iterative waterfilling scheme that efficiently finds the optimal transmission policy for energy efficiency in MIMO BCs, considering practical power models.

Findings

The proposed scheme converges reliably.

System parameters significantly impact energy efficiency.

Simulation results validate the scheme's effectiveness.

Abstract

Optimizing energy efficiency (EE) for the MIMO broadcasting channels (BC) is considered in this paper, where a practical power model is taken into account. Although the EE of the MIMO BC is non-concave, we reformulate it as a quasiconcave function based on the uplink-downlink duality. After that, an energy efficient iterative waterfilling scheme is proposed based on the block-coordinate ascent algorithm to obtain the optimal transmission policy efficiently, and the solution is proved to be convergent. Through simulations, we validate the efficiency of the proposed scheme and discuss the system parameters' effect on the EE.