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| Content Provider | IET Digital Library |
|---|---|
| Author | Azarfar, Arash Frigon, Jean François Sansò, Brunilde |
| Abstract | In this study, we propose a queueing model to analyse the performance of an opportunistic spectrum access (OSA) system with service interruptions operating over heterogeneous channels in which the service transmission rate and the service interruption rate after the transmission is resumed are generally different than their value prior to the interruption. We first propose Markov chain models to analyse this system under memoryless service time and availability periods. On the basis of simplification assumptions, we also provide an analytical z-Transform analysis of the Markov models. The Markov model and approximations are validated with accurate system simulations. We also provide numerical results illustrating the non-convex relations between the traffic metrics and system parameters and that the proposed models are essential for optimal OSA network planning and operation. We further analyse and discuss the OSA queueing model for general distribution of service time and availability periods. The analytical and simulation results indicate that for usual system parameters, the queue average occupancy is similar for different distributions of service time and availability periods and that the memoryless Markov models can be used to accurately predict the heterogeneous OSA system traffic performance. |
| Starting Page | 819 |
| Ending Page | 827 |
| Page Count | 9 |
| ISSN | 17518628 |
| Volume Number | 9 |
| e-ISSN | 17518636 |
| Issue Number | Issue 6, Apr (2015) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-com/9/6 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-com.2014.0295 |
| Journal | IET Communications |
| Publisher Date | 2015-02-12 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Heterogeneous Channel Heterogeneous Opportunistic Spectrum Access Integral Transforms in Numerical Analysis Markov Chain Model Markov Processes Memoryless Service Time Nonconvex Relations OSA Queueing Model Queueing System Queueing Theory Radio Link And Equipment Radio Network Service Interruption Rate Service Interruptions Service Transmission Rate Transform Z-transform Analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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