Cooperative Spectrum Sensing Under a Random Geometric Primary User Network Model

The authors propose a novel cooperative spectrum sensing algorithm for a Cognitive Radio (CR) network to detect a Primary User (PU) network that exhibits some degree of randomness in topology (e.g., due to mobility). They model the PU network as a random geometric network that can better describe small-scale mobile PUs. Based on this model, they formulate the random PU network detection problem in which the CR network detects the presence of a PU receiver within a given detection area. To address this problem, they propose a location-aware cooperative sensing algorithm that linearly combines multiple sensing results from Secondary Users (SUs) according to their geographical locations.

Provided by: Institute of Electrical & Electronic Engineers Topic: Mobility Date Added: Jun 2011 Format: PDF

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