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2631. Effects of spectrum handoff delay on secondary users in cognitive radio networks
Invited abstract in session MC-40: Advances in Stochastic Modelling and Applied Probability II, stream Advances in Stochastic Modelling and Learning Methods.
Monday, 12:30-14:00Room: 96 (building: 306)
Authors (first author is the speaker)
1. | Yuta Kamioka
|
Informatics, Gunma University | |
2. | Ken'ichi Kawanishi
|
Informatics, Gunma University | |
3. | Tuan Phung-Duc
|
University of Tsukuba |
Abstract
The rapid development of ICT (Information and Communication Technology) in recent years has led to the problem of wireless bandwidth depletion. One of the technologies to alleviate the problem is to make use of CRNs (Cognitive Radio Networks). This is a technology for efficient and dynamic use of frequencies. In CRNs, users are divided into PUs (Primary Users) and SUs (Secondary Users). PUs are licensed users to occupy the bandwidth. On the other hand, SUs are not licensed users and can use the bandwidth only if SUs know that PUs are not present by sensing because PUs have preemptive priority over SUs. Therefore, spectrum handoff in CRNs critically affects performance of SUs.
This paper considers CRNs and analyzes performance measures of SUs. In particular, we take into account of spectrum handoff delay in CRNs and compare performance of SUs with and without the handoff delay. We construct system models by continuous-time Markov chain having transition rate matrix with block tridiagonal structure, which is called QBD (quasi-birth-death) process, to efficiently compute the stationary distribution. We show numerical examples of the performance of SUs in terms of delay in system. We discuss the effects of spectrum handoff delay on the performance measures for the model with the spectrum handoff delay and the conventional model without the handoff delay.
Keywords
- Stochastic Models
- Queuing Systems
- Telecommunications
Status: accepted
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