Set-Membership Adaptive Soft Combining for Distributed Cooperative Spectrum Sensing
Conference: ISWCS 2013 - The Tenth International Symposium on Wireless Communication Systems
08/27/2013 - 08/30/2013 at Ilmenau, Deutschland
Proceedings: ISWCS 2013
Pages: 5Language: englishTyp: PDF
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Authors:
Sobron, Iker (University of the Basque Country (UPV/EHU)
Martins, Wallace A.; Ribeiro, Jr., Francisco C.; Campos, Marcello L. R. de (Federal University of Rio de Janeiro (UFRJ))
Abstract:
This paper presents a new adaptive soft combiner implemented on cognitive radio nodes for distributed cooperative spectrum sensing. The key feature of the proposal is the use of the standard set-membership normalized least-mean squares (SMNLMS) algorithm, which enjoys good tracking capabilities, while entailing low computational burden. Indeed, simulation results show that the computational savings can be as high as 37% for 8 cooperating secondary users, as compared to another previously proposed data-selective soft combiner from the literature.