Dynamic TDD Enabled Distributed Antenna Array Massive MIMO System

Chowdhury, A and Murthy, CR and Chopra, R (2022) Dynamic TDD Enabled Distributed Antenna Array Massive MIMO System. In: 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022, 20 - 23 June 2022, Trondheim, pp. 131-135.

PDF IEEE_SAM 2022_2022_131-135_2022.pdf - Published Version Restricted to Registered users only Download (630kB) | Request a copy

Abstract

In this paper, we analyze the performance of dynamic time division duplexing (DTDD) in a distributed antenna array massive multiple-input multiple-output (DAA-mMIMO) system in the presence of simultaneous uplink (UL) and downlink (DL) data requirements. DTDD has been shown to substantially improve system performance in terms of spectral efficiency (SE) for cellular mMIMO systems. In the DAA-enabled system, we show that the performance of DTDD depends critically on appropriately scheduling the UL/DL modes at the access points (APs) based on the localized UL/DL traffic demand. Since an exhaustive search over all possible UL/DL modes is combinatorially complex, we present a greedy algorithm to solve the AP-scheduling problem in polynomial time. Via extensive numerical experiments, we illustrate the 95-likely sum UL-DL SE achieved by our solution, and show that DAA-mMIMO with dynamic AP-scheduling can substantially outperform TDD-based cellular as well as DAA mMIMO systems.

Item Type:	Conference Paper
Publication:	Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Publisher:	IEEE Computer Society
Additional Information:	The copyright for this article belongs to the IEEE Computer Society.
Keywords:	Antenna arrays; Polynomial approximation; Scheduling; Spectrum efficiency; Time division multiplexing, Access points; Cellulars; Distributed antenna arrays; Distributed processing; Dynamic TDD; Dynamic time; Massive MIMO; Performance; Spectral efficiencies; Time division duplexing, MIMO systems
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	31 Aug 2022 08:32
Last Modified:	31 Aug 2022 08:32
URI:	https://eprints.iisc.ac.in/id/eprint/76295

Actions (login required)

View Item