3D Beamforming based Dynamic TDD Interference Mitigation Scheme

TL;DR

This paper proposes a 3D beamforming analytical model to mitigate interference in dynamic TDD macro-cell deployments, demonstrating its effectiveness through numerical analysis and convergence properties.

Contribution

It introduces a novel analytical model for 3D beamforming in D-TDD macro-cells, accounting for user distribution and interference mitigation.

Findings

Cumulative ISR can be expressed as a convergent series.

Expected ISR is an almost sure convergent series.

Numerical results validate the scheme's applicability.

Abstract

Dynamic Time Division Duplexing (D-TDD) allows cells to accommodate asymmetric traffic variations with high resource assignment flexibility. However, this feature is limited by two additional types of interference between cells in opposite transmission direction: downlink (DL) to uplink (UL) and UL to DL interference. Therefore, using this mode with macro-cell deployments requires interference mitigation techniques to reduce the strong DL to UL interference. 3D beamforming is an efficient technique that minimizes interference and enhances performance by exploiting a large 2D array of antennas intelligently. Combining D-TDD and 3D beamforming can make D-TDD feasible for macro-cells. The aim of this work is to provide a 3D beamforming analytical model in a D-TDD based macro-cells' deployment where beamforming horizontal and vertical radiation patterns depend on the spatial distribution of random users' locations. We evaluate interference in terms of Interference to Signal Ratio (ISR). We show that the cumulative ISR can be written in terms of convergent series and its expectation is an almost sure convergent series. Different numerical results are presented to justify the applicability of this scheme.