A Multichannel Spectrum Sensing Fusion Mechanism for Cognitive Radio Networks: Design and Application to IEEE 802.22 WRANs

被引:10
作者
Tadayon, Navid [1 ]
Aissa, Sonia [1 ]
机构
[1] Institut National de la Recherche Scientifique (INRS), University of Quebec, Montreal, QC H5A 1K6, QC
来源
IEEE Transactions on Cognitive Communications and Networking | 2015年 / 1卷 / 04期
关键词
Cognitive Radio; Data Fusion; Decision Combining; Distributed Spectrum Sensing; IEEE; 802.22; WRAN;
D O I
10.1109/TCCN.2016.2543732
中图分类号
学科分类号
摘要
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 nonuniformity 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 sensing technique for WRANs, named multichannel learning-based distributed sensing fusion mechanism (MC-LDS). MC-LDS is demonstrated to be self-Trained, stable, and to compensate for fault reports through its inherent reward-penalty approach. Moreover, MC-LDS exhibits a better uniform performance in all traffic regimes, is fair (reduces the false-Alarm/misdetection gap), adjustable (works with several degrees of freedom), and bandwidth efficient (opens transmission opportunities for more CPEs). Simulation results and comparisons unanimously corroborate that MC-LDS outperforms IEEE 802.22 recommended algorithms, i.e., the AND, OR, and VOTING rules. © 2015 IEEE.
引用
收藏
页码:359 / 371
页数:12
相关论文
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