Work

Random Access With Opportunity Detection in Wireless Networks

Year: 2019

Type: article

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.

Source: IEEE Wireless Communications Letters

DOI: 10.1109/lwc.2019.2921367

Authors: Jinho Choi, Seung-Woo Ko, Koji Yamamoto, Seong-Lyun Kim

Institutions: Yonsei University, Korea Maritime and Ocean University, Kyoto University

Language: English

Topic: Wireless Networks and Protocols

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Research Foundation of Korea, Ministry of Science and ICT, South Korea

Award: G4936017871