Can Dynamic TDD Enabled Half-Duplex Cell-Free Massive MIMO Outperform Full-Duplex Cellular Massive MIMO?
Anubhab Chowdhury, Ribhu Chopra, and Chandra R. Murthy

TL;DR
This paper proposes a dynamic TDD enabled half-duplex cell-free massive MIMO system that outperforms full-duplex cellular massive MIMO in spectral efficiency, using novel algorithms for AP scheduling and pilot contamination mitigation.
Contribution
It introduces a low-complexity greedy AP scheduling algorithm with an optimality guarantee and a novel pilot contamination minimization method for CF-mMIMO systems.
Findings
CF-mMIMO with dynamic HD AP scheduling outperforms FD-mMIMO in spectral efficiency.
The proposed algorithms effectively manage pilot contamination and AP scheduling.
Simulation results confirm the theoretical advantages of the proposed system.
Abstract
We consider a dynamic time division duplex (DTDD) enabled cell-free massive multiple-input multiple-output (CF-mMIMO) system, where each half-duplex (HD) access point (AP) is scheduled to operate in the uplink (UL) or downlink (DL) mode based on the data demands of the user equipments (UEs), with the goal of maximizing the sum UL-DL spectral efficiency (SE). We develop a new, low complexity, greedy algorithm for the combinatorial AP scheduling problem, with an optimality guarantee theoretically established via showing that a lower bound of the sum UL-DL SE is sub-modular. We also consider pilot sequence reuse among the UEs to limit the channel estimation overhead. In CF systems, all the APs estimate the channel from every UE, making pilot allocation problem different from the cellular case. We develop a novel algorithm that iteratively minimizes the maximum pilot contamination across…
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Taxonomy
TopicsFull-Duplex Wireless Communications · Antenna Design and Analysis · Electromagnetic Compatibility and Measurements
