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.
Bibliographical noteFunding Information:
Manuscript received February 24, 2019; revised April 20, 2019; accepted May 27, 2019. Date of publication June 6, 2019; date of current version October 11, 2019. This work was supported in part by the National Research Foundation of Korea under Grant NRF-2017R1A2A2A05069810, in part by the Institute for Information and Communications Technology Planning and Evaluation under Grant 2018-0-00923 and Grant 2018-0-00170, and in part by the Ministry of Science and ICT, South Korea. The associate editor coordinating the review of this paper and approving it for publication was W. Zhang. (Corresponding author: Seong-Lyun Kim.) J. Choi and S.-L. Kim are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: email@example.com; firstname.lastname@example.org).
© 2012 IEEE.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Electrical and Electronic Engineering