Interference Analysis in Dynamic TDD System Combined or not With Cell Clustering Scheme

TL;DR

This paper develops an analytical model to evaluate interference and performance in dynamic TDD systems, considering cell clustering and interference mitigation strategies for dense heterogeneous networks.

Contribution

It introduces a new analytical approach to model inter-cell interference and assess system performance with and without mitigation schemes in dynamic TDD.

Findings

Analytical model quantifies SINR distribution in dynamic TDD.

Cell clustering reduces inter-cell interference effectively.

Performance improvements are demonstrated with interference mitigation schemes.

Abstract

Dynamic Time Division Duplex (TDD) has been introduced as a solution to deal with the uplink and downlink traffic asymmetry, mainly observed for dense heterogeneous network deployments. However, the use of this feature requires new interference mitigation schemes capable to handle two additional types of interferences between cells in opposite transmission cycle: downlink to uplink and uplink to downlink interferences. Among them, Cell clustering has been proposed as an efficient solution to minimize inter-cell interferences in opposite transmission directions and somehow responds to the requirements of enhanced Interference Mitigation and Traffic Adaptation (eIMTA) problem. This work is devoted to provide a new analytical approach to model inter-cell interferences and quantify performances of Dynamic TDD system in terms of SINR (Signal to Interferences plus Noise Ratio) distribution. Analytical system performance investigation concerns two scenarios: i) basic Dynamic TDD without any other feature and ii) Dynamic TDD with interference mitigation schemes.