NDLI: Distributed Consensus-Based Weight Design for Cooperative Spectrum Sensing

Content Provider	IEEE Xplore Digital Library
Author	Wenlin Zhang Yi Guo Hongbo Liu Yingying Chen Zheng Wang Mitola, J.
Copyright Year	1990
Abstract	In this paper, we study the distributed spectrum sensing in cognitive radio networks. Existing distributed consensus-based fusion algorithms only ensure equal gain combining of local measurements, whose performance may be incomparable to various centralized soft combining schemes. Motivated by this fact, we consider practical channel conditions and link failures, and develop new weighted soft measurement combining without a centralized fusion center. Following the measurement by its energy detector, each secondary user exchanges its own measurement statistics with its local one-hop neighbors, and chooses the information exchanging rate according to the measurement channel condition, e.g., the signal-to-noise ratio (SNR). We rigorously prove the convergence of the new consensus algorithm, and show all secondary users hold the same global decision statistics from the weighted soft measurement combining throughout the network. We also provide distributed optimal weight design under uncorrelated measurement channels. The convergence rate of the consensus iteration is given under the assumption that each communication link has an independent probability to fail, and the upper bound of the iteration number of the ε-convergence is explicitly given as a function of system parameters. Simulation results show significant improvement of the sensing performance compared to existing consensus-based approaches, and the performance of the distributed weighted design is comparable to the centralized weighted combining scheme.
Sponsorship	IEEE Computer Society
Starting Page	54
Ending Page	64
Page Count	11
File Size	668954
File Format	PDF
ISSN	10459219
Volume Number	26
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensors Weight measurement Convergence Algorithm design and analysis Signal to noise ratio Heuristic algorithms Diversity reception Cognitive radio networks Cooperative spectrum sensing Weighted average consensus cognitive radio networks weighted average consensus
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computational Theory and Mathematics Hardware and Architecture

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