Leveraging Slowly Time-Varying AP-AP Channels for Interference Mitigation in Dynamic TDD
Abstract
We address the challenge of cross-link interference in dynamic time-division duplexing (TDD) systems. Specifically, we focus on mitigating the interference caused by access points (APs) operating in downlink to APs operating in uplink. To this end, we exploit that channels between APs typically vary much more slowly over time than channels between users and APs. This observation allows us to jointly estimate the uplink user data and the AP-AP channels using a least-squares formulation over multiple coherence intervals, during which the AP-AP channels stay constant. We derive conditions for unique solvability of this least-squares problem by analyzing the rank of the regression matrix. For cases where a unique solution does not exist, we propose to transform the problem into a uniquely solvable one by sacrificing a subset of the uplink data samples. Numerical results demonstrate that our proposed methods achieve substantial gains over baseline algorithms. Further, we observe that one of our proposed algorithms achieves almost perfect AP-AP interference mitigation when the AP-AP channels vary very slowly over time.
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BibTeX
@misc{andersson2026leveraging,
title = {{Leveraging Slowly Time-Varying AP-AP Channels for Interference Mitigation in Dynamic TDD}},
author = {Martin Andersson and Tung T. Vu and Pål Frenger and Jan Åslund and Erik G. Larsson},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.11669},
eprint = {2609.11669},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.11669},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Leveraging Slowly Time-Varying AP-AP Channels for Interference Mitigation in Dynamic TDD
AU - Martin Andersson
AU - Tung T. Vu
AU - Pål Frenger
AU - Jan Åslund
AU - Erik G. Larsson
PY - 2026
DA - 2026/09/10
PB - arXiv
DO - 10.48550/arxiv.2609.11669
UR - https://arxiv.org/abs/2609.11669
AB - We address the challenge of cross-link interference in dynamic time-division duplexing (TDD) systems. Specifically, we focus on mitigating the interference caused by access points (APs) operating in downlink to APs operating in uplink. To this end, we exploit that channels between APs typically vary much more slowly over time than channels between users and APs. This observation allows us to jointly estimate the uplink user data and the AP-AP channels using a least-squares formulation over multiple coherence intervals, during which the AP-AP channels stay constant. We derive conditions for unique solvability of this least-squares problem by analyzing the rank of the regression matrix. For cases where a unique solution does not exist, we propose to transform the problem into a uniquely solvable one by sacrificing a subset of the uplink data samples. Numerical results demonstrate that our proposed methods achieve substantial gains over baseline algorithms. Further, we observe that one of our proposed algorithms achieves almost perfect AP-AP interference mitigation when the AP-AP channels vary very slowly over time.
ER -