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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xin Li Qianchuan Zhao Xiaohong Guan Lang Tong |
| Copyright Year | 2010 |
| Abstract | The problem of cognitive access of channels of primary users by a secondary user is considered. The transmissions of primary users are modeled as independent continuous-time Markovian on-off processes. A secondary cognitive user employs slotted transmissions, and it senses one of the possible channels before transmission. The objective of the cognitive user is to maximize its throughput subject to collision constraints imposed by the primary users. The optimal access strategy is in general a solution of a constrained partially observable Markov decision process, which involves a constrained optimization in an infinite dimensional functional space. It is shown in this paper that, when the collision constraints are tight, the optimal access strategy can be implemented by a simple memoryless access policy with periodic channel sensing. Numerical results are presented to validate and extend the analysis for different practical scenarios. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 186297 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424464029 |
| ISSN | 19381883 |
| e-ISBN | 9781424464043 |
| DOI | 10.1109/ICC.2010.5502055 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-23 |
| Publisher Place | South Africa |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Throughput Upper bound Communications Society Intelligent systems Intelligent networks Automation Computer networks Peer to peer computing USA Councils Constraint optimization |
| Content Type | Text |
| Resource Type | Article |
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