Random Access with Opportunity Detection in Wireless Networks
Jinho Choi, Seung-Woo Ko, Koji Yamamoto, and Seong-Lyun Kim

TL;DR
This paper introduces a novel MAC protocol that predicts transmission opportunities to optimize access, reduce interference, and improve throughput in wireless networks, especially in full-duplex systems.
Contribution
It presents a new opportunity detection-based MAC protocol with a derived fixed-point equation for optimal transmission probability, enhancing network performance.
Findings
Significant throughput gains in full-duplex networks.
Closed-form approximation for optimal transmission probability.
Effective interference reduction through opportunity-based access.
Abstract
This letter proposes a novel random medium access control (MAC) based on a transmission opportunity prediction, which can be measured in a form of a conditional success probability given transmitter-side interference. A transmission probability depends on the opportunity prediction, preventing indiscriminate transmissions and reducing excessive interference causing collisions. Using stochastic geometry, we derive a fixed-point equation to provide the optimal transmission probability maximizing a proportionally fair throughput. Its approximated solution is given in closed form. The proposed MAC is applicable to full-duplex networks, leading to significant throughput improvement by allowing more nodes to transmit.
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.
