2 research outputs found
Delay Sensitive Communications over Cognitive Radio Networks
Supporting the quality of service of unlicensed users in cognitive radio
networks is very challenging, mainly due to dynamic resource availability
because of the licensed users' activities. In this paper, we study the optimal
admission control and channel allocation decisions in cognitive overlay
networks in order to support delay sensitive communications of unlicensed
users. We formulate it as a Markov decision process problem, and solve it by
transforming the original formulation into a stochastic shortest path problem.
We then propose a simple heuristic control policy, which includes a
threshold-based admission control scheme and and a largest-delay-first channel
allocation scheme, and prove the optimality of the largest-delay-first channel
allocation scheme. We further propose an improved policy using the rollout
algorithm. By comparing the performance of both proposed policies with the
upper-bound of the maximum revenue, we show that our policies achieve
close-to-optimal performance with low complexities.Comment: 11 pages, 8 figure
Admission Control and Channel Allocation for Supporting Real-Time Applications in Cognitive Radio Networks
Proper admission control in cognitive radio networks is critical in providing QoS guarantees to secondary unlicensed users. In this paper, we study the admission control and channel allocation problem in overlay cognitive radio networks under the maximum cumulative delay constraint. We formulate it as a Markov decision process problem, and then solve it by transforming the original formulation into a stochastic shortest path problem. We further simulate the performance of a class of threshold-based admission control with the largest-delay-first channel allocation policy, and show its advantage over other two benchmark policies.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000287977406042&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Engineering, Electrical & ElectronicTelecommunicationsEICPCI-S(ISTP)