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Distributed Consensus-Based Weight Design for Cooperative Spectrum Sensing
2015
IEEE Transactions on Parallel and Distributed Systems
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
doi:10.1109/tpds.2014.2307951
fatcat:wt2f2shqvjgfxlr3uut5g2s5rm