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) syst...Show MoreMetadata
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.
Date of Conference: 20-23 June 2022
Date Added to IEEE Xplore: 22 July 2022
ISBN Information: