Distributed boundary estimation for spectrum sensing in cognitive radio networks
In a cognitive radio network, a primary user (PU) shares its spectrum with secondary users (SUs) temporally and spatially, while allowing for some interference. We consider the problem of estimating the no-talk region of the PU, i.e., the region outside which SUs may utilize the PU's spectrum r...
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Format: | Journal Article |
Language: | English |
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2015
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Online Access: | https://hdl.handle.net/10356/81706 http://hdl.handle.net/10220/25255 |
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author | Zhang, Yi Tay, Wee Peng Li, Kwok Hung Gaïti, Dominique |
author2 | School of Electrical and Electronic Engineering |
author_facet | School of Electrical and Electronic Engineering Zhang, Yi Tay, Wee Peng Li, Kwok Hung Gaïti, Dominique |
author_sort | Zhang, Yi |
collection | NTU |
description | In a cognitive radio network, a primary user (PU) shares its spectrum with secondary users (SUs) temporally and spatially, while allowing for some interference. We consider the problem of estimating the no-talk region of the PU, i.e., the region outside which SUs may utilize the PU's spectrum regardless of whether the PU is transmitting or not. We propose a distributed boundary estimation algorithm that allows SUs to estimate the boundary of the no-talk region collaboratively through message passing between SUs, and analyze the trade-offs between estimation error, communication cost, setup complexity, throughput and robustness. Simulations suggest that our proposed scheme has better estimation performance and communication cost trade-off compared to several other alternative benchmark methods, and is more robust to SU sensing errors, except when compared to the least squares support vector machine approach, which however incurs a much higher communication cost. |
first_indexed | 2024-10-01T05:45:01Z |
format | Journal Article |
id | ntu-10356/81706 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T05:45:01Z |
publishDate | 2015 |
record_format | dspace |
spelling | ntu-10356/817062020-03-07T13:57:21Z Distributed boundary estimation for spectrum sensing in cognitive radio networks Zhang, Yi Tay, Wee Peng Li, Kwok Hung Gaïti, Dominique School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems In a cognitive radio network, a primary user (PU) shares its spectrum with secondary users (SUs) temporally and spatially, while allowing for some interference. We consider the problem of estimating the no-talk region of the PU, i.e., the region outside which SUs may utilize the PU's spectrum regardless of whether the PU is transmitting or not. We propose a distributed boundary estimation algorithm that allows SUs to estimate the boundary of the no-talk region collaboratively through message passing between SUs, and analyze the trade-offs between estimation error, communication cost, setup complexity, throughput and robustness. Simulations suggest that our proposed scheme has better estimation performance and communication cost trade-off compared to several other alternative benchmark methods, and is more robust to SU sensing errors, except when compared to the least squares support vector machine approach, which however incurs a much higher communication cost. Accepted version 2015-03-23T07:31:29Z 2019-12-06T14:36:33Z 2015-03-23T07:31:29Z 2019-12-06T14:36:33Z 2014 2014 Journal Article Zhang, Y., Tay, W. P., Li, K. H., & Gaïti, D. (2014). Distributed boundary estimation for spectrum sensing in cognitive radio networks. IEEE Journal on Selected Areas in Communications, 32(11), 1961-1973. https://hdl.handle.net/10356/81706 http://hdl.handle.net/10220/25255 10.1109/JSAC.2014.1411RP08 en IEEE Journal on Selected Areas in Communications © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/JSAC.2014.1411RP08]. 46 p. application/pdf |
spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems Zhang, Yi Tay, Wee Peng Li, Kwok Hung Gaïti, Dominique Distributed boundary estimation for spectrum sensing in cognitive radio networks |
title | Distributed boundary estimation for spectrum sensing in cognitive radio networks |
title_full | Distributed boundary estimation for spectrum sensing in cognitive radio networks |
title_fullStr | Distributed boundary estimation for spectrum sensing in cognitive radio networks |
title_full_unstemmed | Distributed boundary estimation for spectrum sensing in cognitive radio networks |
title_short | Distributed boundary estimation for spectrum sensing in cognitive radio networks |
title_sort | distributed boundary estimation for spectrum sensing in cognitive radio networks |
topic | DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems |
url | https://hdl.handle.net/10356/81706 http://hdl.handle.net/10220/25255 |
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