The Simple Genetic Algorithm: Foundations and Theory
The Simple Genetic Algorithm: Foundations and Theory
Nature-inspired methods in chemometrics: genetic algorithms and artificial neural networks
Nature-inspired methods in chemometrics: genetic algorithms and artificial neural networks
Rate Allocation and Admission Control for Differentiated Services in CDMA Data Networks
IEEE Transactions on Mobile Computing
Performance of power detector sensors of DTV signals in IEEE 802.22 WRANs
TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
Multiuser Power and Channel Allocation Algorithm in Cognitive Radio
ICPP '07 Proceedings of the 2007 International Conference on Parallel Processing
In-band spectrum sensing in cognitive radio networks: energy detection or feature detection?
Proceedings of the 14th ACM international conference on Mobile computing and networking
Cognitive radios for dynamic spectrum access: from concept to reality
IEEE Wireless Communications
Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management
On optimal connectivity restoration in segmented sensor networks
EWSN'13 Proceedings of the 10th European conference on Wireless Sensor Networks
On the cascading spectrum contention problem in self-coexistence of cognitive radio networks
Proceedings of the 1st ACM workshop on Cognitive radio architectures for broadband
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In IEEE 802.22 Wireless Regional Area Networks (WRANs), each Base Station (BS) solves a complex resource allocation problem of simultaneously determining the channel to reuse, power for adaptive coverage, and Consumer Premise Equipments (CPEs) to associate with, while maximizing the total downstream capacity of CPEs. Although joint power and channel allocation is a classical problem, resource allocation in WRANs faces two unique challenges that has not yet been addressed: (1) the presence of small-scale incumbents such as wireless microphones (WMs), and (2) asymmetric interference patterns between BSs using omnidirectional antennas and CPEs using directional antennas. In this paper, we capture this asymmetry in upstream/downstream communications to propose an accurate and realistic WRAN-WM coexistence model that increases spatial reuse of TV spectrum while protecting small-scale incumbents. Based on the proposed model, we formulate the resource-allocation problem as a mixed-integer nonlinear programming (MINLP) which is NP-hard. To solve the problem in real-time, we propose a suboptimal algorithm based on the Genetic Algorithm (GA), and extend the basic GA algorithm to a fully-distributed GA algorithm (dGA) that distributes computational cost over the network and achieves scalability via local cooperation between neighboring BSs. Using extensive simulation, the proposed dGA is shown to perform as good as 99.4-99.8% of the optimal solution, while reducing the computational cost significantly.