Joint Optimization of Switching Point and Power Control in Dynamic TDD Cell-Free Massive MIMO

TL;DR

This paper proposes a joint optimization framework for switching points and power control in dynamic TDD cell-free massive MIMO to enhance energy efficiency, using an iterative algorithm with simulation validation.

Contribution

It introduces a novel joint optimization approach for switching points and power control in CFmMIMO with a new iterative solution method.

Findings

Optimizing switching points significantly improves energy efficiency.

The proposed algorithm outperforms heuristic baseline schemes.

Simulation results validate the effectiveness of the joint optimization.

Abstract

We consider a cell-free massive multiple-input multiple-output (CFmMIMO) network operating in dynamic time division duplex (DTDD). The switching point between the uplink (UL) and downlink (DL) data transmission phases can be adapted dynamically to the instantaneous quality-of-service (QoS) requirements in order to improve energy efficiency (EE). To this end, we formulate a problem of optimizing the DTDD switching point jointly with the UL and DL power control coefficients, and the large-scale fading decoding (LSFD) weights for EE maximization. Then, we propose an iterative algorithm to solve the formulated challenging problem using successive convex approximation with an approximate stationary solution. Simulation results show that optimizing switching points remarkably improves EE compared with baseline schemes that adjust switching points heuristically.