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| Content Provider | IET Digital Library |
|---|---|
| Author | Ghadikolaei, Hossein Shokri Abdi, Younes Kenari, Masoumeh Nasiri |
| Abstract | In this study, the average throughput maximisation of a secondary user (SU) by optimising its spectrum sensing time is formulated, assuming that a priori knowledge of the presence and absence probabilities of the primary users (PUs) is available. The energy consumed to find a transmission opportunity is evaluated, and a discussion on the impacts of the number of PUs on SU throughput and consumed energy are presented. To avoid the challenges associated with the analytical method, as a second solution, a systematic adaptive neural network-based sensing time optimisation approach is also proposed. The proposed scheme is able to find the optimum value of the channel sensing time without any prior knowledge or assumption about the wireless environment. The structure, performance and cooperation of the artificial neural networks used in the proposed method are explained in detail, and a set of illustrative simulation results is presented to validate the analytical results as well as the performance of the proposed learning-based optimisation scheme. |
| Starting Page | 480 |
| Ending Page | 489 |
| Page Count | 10 |
| ISSN | 17518628 |
| Volume Number | 7 |
| e-ISSN | 17518636 |
| Issue Number | Issue 5, Mar (2013) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-com/7/5 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-com.2012.0302 |
| Journal | IET Communications |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Artificial Neural Network Average Throughput Maximisation Channel Sensing Time Circuit Implementations Cognitive Radio Cognitive Radio System Learning Based Optimisation Scheme Learning Based Spectrum Sensing Time Optimisation Neural Nets Optimisation Optimisation Technique Primary User Radio Link And Equipment Radio Spectrum Management Secondary User Systematic Adaptive Neural Network Based Sensing Time Optimisation Transmission Opportunity Wireless Environment |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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