Journal
IEEE TRANSACTIONS ON SIGNAL PROCESSING
Volume 60, Issue 7, Pages 3755-3769Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSP.2012.2192434
Keywords
Cognitive radio; dynamic radio access; quantization noise; random link failures; social foraging swarms; stochastic approximation
Categories
Funding
- FREEDOM Project [ICT-248891]
- NSF [CCF-1011918, CCF-0942936]
- Direct For Computer & Info Scie & Enginr [1011918] Funding Source: National Science Foundation
- Division of Computing and Communication Foundations [1011918] Funding Source: National Science Foundation
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This paper proposes a distributed resource assignment strategy for cognitive networks mimicking a swarm foraging mechanism, assuming that the communication among the cognitive nodes is impaired by random link failures and quantization noise. Using results from stochastic approximation theory, we propose a swarm mechanism that converges almost surely to a final allocation even in the presence of imperfect communication scenarios. The theoretical findings are corroborated by numerical results showing that the only effect of the random link failures is to decrease the convergence rate of the algorithm. We propose then a fast swarming approach, robust to random disturbances, that adapts its behavior with respect to the interference power perceived by every node, thus increasing the speed of convergence and improving the resource allocation capabilities.
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