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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kannan, R. Shuangqing Wei Jian Zhang Athanasios, V.V. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of CS, Louisiana State University, Baton Rouge, LA 70803 (Kannan, R.; Jian Zhang) || Dept. of Computer and Telecomm Engg., University of Western Macedonia, Kozani, Greece (Athanasios, V.V.) || Department of ECE, Louisiana State University, Baton Rouge, LA 70803 (Shuangqing Wei) |
| Abstract | The efficiency of a cognitive radio system depends critically on sensing reliability since post-sensing communication efficiency is subject to optimal resource allocation under this sensing uncertainty. In this paper, we develop online algorithms for maximizing throughput in a cognitive radio when the sensing outcome of the primary channel (available/unavailable) is not always reliable. We first develop a very efficient per-slot power allocation algorithm for a secondary user transmitting under total power constraints over a period of M time slots, assuming reliable sensing during each slot but with no look-ahead capability. Specifically, we show that it is always possible to achieve a transmission rate that is a constant fraction of the optimal transmission rate even with no apriori knowledge of the number of available slots. Our online power-allocation algorithm is 3.7-competitive, i.e the rate achieved by this algorithm is within a factor of < 3.7 of the optimal rate that can be achieved by a genie-aided algorithm with full look-ahead knowledge of channel availability during the M slots. Then we analyze the impact of sensing errors on algorithm performance. We show that the online algorithm is still constant-factor competitive with very high probability (> 1 — 1/M) even with sensing errors under the worst-possible input sequence, provided the number of good time slots is reasonably large as a function of M. However, when the number of good time slots is small $(M^{0(1)},$ for example λ/Μ), we show that no online algorithm can achieve a constant-factor competitive ratio. |
| Starting Page | 767 |
| Ending Page | 772 |
| File Size | 349057 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424481781 |
| ISSN | 21557586 |
| e-ISBN | 9781424481804 |
| DOI | 10.1109/MILCOM.2010.5680306 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-31 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sensors Markov processes Cognitive radio Algorithm design and analysis Transmitters Signal processing algorithms Decision making |
| Content Type | Text |
| Resource Type | Article |
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