This SpringerBrief presents adaptive resource allocation schemes for
secondary users for dynamic spectrum access (DSA) in cognitive radio
networks (CRNs) by considering Quality-of-Service requirements,
admission control, power/rate control, interference constraints, and the
impact of spectrum sensing or primary user interruptions. It presents
the challenges, motivations, and applications of the different schemes.
The authors discuss cloud-assisted geolocation-aware adaptive resource
allocation in CRNs by outsourcing computationally intensive processing
to the cloud. Game theoretic approaches are presented to solve resource
allocation problems in CRNs. Numerical results are presented to evaluate
the performance of the proposed methods. Adaptive Resource Allocation in
Cognitive Radio Networks is designed for professionals and researchers
working in the area of wireless networks. Advanced-level students in
electrical engineering and computer science, especially those focused on
wireless networks, will find this information helpful.