3D Beamforming based Dynamic TDD Interference Mitigation Scheme
Jalal Rachad, Ridha Nasri, Laurent Decreusefond

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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
