TY - GEN
T1 - Semi-Static Radio Frame Configuration for URLLC Deployments in 5G Macro TDD Networks
AU - Esswie, Ali Abdelmawgood Ali Ali
AU - Pedersen, Klaus Ingemann
AU - E. Mogensen, Preben
PY - 2020
Y1 - 2020
N2 - Dynamic time division duplexing (TDD) is one of the major novelties of the 5G new radio standard. It notably improves the network resource utilization with sporadic directional packet arrivals. Although, the feasibility of the ultra-reliable and low-latency communications (URLLC) within such deployments is critically challenged, mainly due to the cross-link interference (CLI). In this work, we propose a semi-static and computationally-efficient TDD radio frame adaptation algorithm for 5G macro deployments. Particularly, we first identify the quasi-static variance of the cross-cell traffic buffering performance, with various CLI co-existence conditions. Accordingly, a common radio frame pattern is dynamically estimated based on the filtered multi-cell traffic statistics. Our system-level simulation results show that the proposed solution achieves a highly improved URLLC outage performance, i.e., offering 40% reduction gain of the achievable URLLC outage latency compared to perfect static-TDD, and approaching the optimal interference-free flexible-TDD case; though, with a significantly lower control overhead size.
AB - Dynamic time division duplexing (TDD) is one of the major novelties of the 5G new radio standard. It notably improves the network resource utilization with sporadic directional packet arrivals. Although, the feasibility of the ultra-reliable and low-latency communications (URLLC) within such deployments is critically challenged, mainly due to the cross-link interference (CLI). In this work, we propose a semi-static and computationally-efficient TDD radio frame adaptation algorithm for 5G macro deployments. Particularly, we first identify the quasi-static variance of the cross-cell traffic buffering performance, with various CLI co-existence conditions. Accordingly, a common radio frame pattern is dynamically estimated based on the filtered multi-cell traffic statistics. Our system-level simulation results show that the proposed solution achieves a highly improved URLLC outage performance, i.e., offering 40% reduction gain of the achievable URLLC outage latency compared to perfect static-TDD, and approaching the optimal interference-free flexible-TDD case; though, with a significantly lower control overhead size.
KW - 5G new radio
KW - Cross link interference (CLI)
KW - Dynamic TDD
KW - Traffic
KW - URLLC
UR - http://www.scopus.com/inward/record.url?scp=85087272311&partnerID=8YFLogxK
U2 - 10.1109/WCNC45663.2020.9120508
DO - 10.1109/WCNC45663.2020.9120508
M3 - Article in proceeding
SN - 978-1-7281-3107-8
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2020 IEEE Wireless Communications and Networking Conference (WCNC)
PB - IEEE (Institute of Electrical and Electronics Engineers)
T2 - 2020 IEEE Wireless Communications and Networking Conference (WCNC)
Y2 - 25 May 2020 through 28 May 2020
ER -