Enhanced Out-of-Band Sensing Algorithm for Cognitive Radio Networks

TL;DR

This paper introduces an enhanced Out-of-Band sensing algorithm for cognitive radio networks that ensures seamless communication and minimizes interference with primary users, validated through simulation showing negligible impact on throughput.

Contribution

The paper proposes a novel OoB sensing algorithm that guarantees seamless communication and reduces interference, with analytical throughput analysis and simulation validation.

Findings

OoB sensing has minimal impact on aggregate throughput.

The proposed algorithm effectively avoids interference with primary users.

Simulation results confirm the algorithm's efficiency in real scenarios.

Abstract

In cognitive radio networks (CRN), Out-of-Band (OoB) spectrum sensing provides seamless communication. Cognitive radio (CR) users, so called secondary users (SUs), should avoid interference with primary users (PUs), the owner of the licensed band, while trying to access the unused licensed or unlicensed band, for spectrum utilization. When PUs request to access their band, SUs need to vacate the band, thus it is inconvenient to provide seamless communication without OoB sensing. In this paper, we suggest an OoB sensing algorithm to guarantee seamless communication and also minimize the interference of SUs on PUs. Also we obtain analysis-based achievable throughput by considering the OoB sensing duration. To verify our algorithm, we perform simulation and find that the effect due to OoB sensing on the aggregate throughput is insignificant.