  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.
