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How many bits to report in quantized cooperative spectrum sensing?

N. Nguyen-Thanh Philippe Ciblat 1, 2 Sina Maleki V. T. Nguyen 3, 2
1 COMNUM - Communications Numériques
LTCI - Laboratoire Traitement et Communication de l'Information
2 COMELEC - Département Communications & Electronique
3 C2S - Circuits et Systèmes de Communication
LTCI - Laboratoire Traitement et Communication de l'Information
Abstract : We introduce an algorithm for optimizing sensing parameters including the number of sensing samples and the number of reporting bits of a quantization-based cooperative spectrum sensing scheme in cognitive radio networks. This is obtained by maximizing the network throughput subject to a target detection probability. With Rayleigh fading and energy detector, the proposed algorithm simultaneously optimizes the number of sensing samples at a local node, the number of bits for quantizing local sensing data and the global threshold at a fusion center.
Keywords : Fading Optimization Quantization (signal) Sensors Signal to noise ratio Throughput cognitive radio cooperative multibit decision quantization sensing-throughput tradeoff spectrum sensing
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https://hal.telecom-paris.fr/hal-02287194
Contributor : Telecomparis Hal <>
Submitted on : Friday, September 13, 2019 - 4:42:22 PM
Last modification on : Friday, July 31, 2020 - 11:28:04 AM

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LTCI | PARISTECH | INSTITUT-TELECOM | COMELEC | COMNUM | UNIV-PARIS-SACLAY | C2S-CIRCUITS

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N. Nguyen-Thanh, Philippe Ciblat, Sina Maleki, V. T. Nguyen. How many bits to report in quantized cooperative spectrum sensing?. IEEE Wireless Communications Letters, 2015, 4 (5), pp.465-468. ⟨10.1109/LWC.2015.2437879⟩. ⟨hal-02287194⟩

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