期刊
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 11, 期 2, 页码 800-809出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2012.010312.110765
关键词
Delay analysis; fluid approximation; cognitive radio networks
资金
- National Science Foundation [CNS-0917087, CCF 1018115]
- DoD MURI [FA9550-09-1-0643]
- Air Force Office of Scientific Research under STTR [FA9550-11-C-0006]
- Science Foundation Arizona (SFAz)
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1117462] Funding Source: National Science Foundation
- Division of Computing and Communication Foundations
- Direct For Computer & Info Scie & Enginr [1018115] Funding Source: National Science Foundation
We consider a cognitive radio network where multiple secondary users (SUs) contend for spectrum usage, using random access, over available primary user (PU) channels. Our focus is on SUs' queueing delay performance, for which a systematic understanding is lacking. We take a fluid queue approximation approach to study the steady-state delay performance of SUs, for cases with a single PU channel and multiple PU channels. Using stochastic fluid models, we represent the queue dynamics as Poisson driven stochastic differential equations, and characterize the moments of the SUs' queue lengths accordingly. Since in practical systems, an SU would have no knowledge of other users' activities, its contention probability has to be set based on local information. With this observation, we develop adaptive algorithms to find the optimal contention probability that minimizes the mean queue lengths. Moreover, we study the impact of multiple channels and multiple interfaces on SUs' delay performance. As expected, the use of multiple channels and/or multiple interfaces leads to significant delay reduction. Finally, we consider packet generation control to meet the delay requirements for SUs, and develop randomized and queue-length-based control mechanisms accordingly.
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