A Multi-Channel Spectrum Sensing Fusion Mechanism for Cognitive Radio Networks: Design and Application to IEEE 802.22 WRANs
Navid Tadayon, Sonia Aissa

TL;DR
This paper introduces a novel distributed spectrum sensing fusion mechanism for cognitive radio networks, specifically designed for IEEE 802.22 WRANs, improving reliability, fairness, and efficiency over existing methods.
Contribution
The paper proposes MC-LDS, a self-trained, stable, and flexible spectrum sensing fusion mechanism that outperforms traditional algorithms in IEEE 802.22 WRANs.
Findings
MC-LDS achieves better detection performance across all traffic regimes.
MC-LDS reduces false alarms and misdetections compared to existing algorithms.
Simulation results confirm MC-LDS's superiority over AND, OR, and VOTING rules.
Abstract
The IEEE 802.22 is a new cognitive radio standard that is aimed at extending wireless outreach to rural areas. Known as wireless regional area networks, and designed based on the not-to-interfere spectrum sharing model, WRANs are channelized and centrally-controlled networks working on the under-utilized UHF/VHF TV bands to establish communication with remote users, so-called customer premises equipment (CPEs). Despite the importance of reliable and interference-free operation in these frequencies, spectrum sensing fusion mechanisms suggested in IEEE 802.22 are rudimentary and fail to satisfy the stringent mandated sensing requirements. Other deep-rooted shortcomings are performance non-uniformity over different signal-to-noise-ratio regimes, unbalanced performance, instability and lack of flexibility. Inspired by these observations, in this paper we propose a distributed spectrum…
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