Joint AP Association and PCS Threshold Selection in Dense Full-duplex Wireless Networks
Phillip B. Oni, Steven D. Blostein

TL;DR
This paper proposes a joint optimization framework for AP association and PCS threshold selection in dense full-duplex WLANs, leading to significant performance improvements by reducing interference and contention.
Contribution
It introduces an analytical approach to jointly optimize AP association and PCS thresholds using stochastic geometry, enhancing network throughput in dense FD wireless networks.
Findings
Optimizing AP association improves performance across various node densities.
Joint PCS threshold optimization effectively separates concurrent transmissions.
AP grouping reduces interference domains for better throughput.
Abstract
Joint access point (AP) association and physical carrier sensing (PCS) threshold selection has the potential to improve the performance in high density wireless LANs (WLANs) under high contention, interference and self-interference (SI) limited transmissions. Using tools from stochastic geometry, user and AP locations are independent realizations of spatial point processes. Considering the inherent effects of the channel access protocol, the spatial density of throughput (SDT), which depends on channel access probability and coverage rate, is derived as the performance objective. Leveraging spatial statistics of the network, a throughput-utility maximization problem is formulated to seek AP association and PCS threshold selection policies that jointly maximize SDT. The AP association and the PCS threshold selection policies are derived analytically while an algorithm is proposed for…
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Taxonomy
TopicsFull-Duplex Wireless Communications · Advanced MIMO Systems Optimization · Sparse and Compressive Sensing Techniques
