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Dynamic Spectrum Access for Cognitive Radio Networks With Prioritized Traffics
We develop a dynamic spectrum access (DSA) strategy for cognitive radio networks where prioritized traffic is considered. Assume that there are three classes of traffic, one traffic class of the primary user and two traffic classes of the secondary users, namely, Class 1 and Class 2. The traffic of...
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Published in: | IEEE communications letters 2014-07, Vol.18 (7), p.1218-1221 |
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creator | Thi My Chinh Chu Hoc Phan Zepernick, Hans-Jürgen |
description | We develop a dynamic spectrum access (DSA) strategy for cognitive radio networks where prioritized traffic is considered. Assume that there are three classes of traffic, one traffic class of the primary user and two traffic classes of the secondary users, namely, Class 1 and Class 2. The traffic of the primary user has the highest priority, i.e., the primary users can access the spectrum at any time with the largest bandwidth demand. Furthermore, Class 1 has higher access and handoff priority as well as larger bandwidth demand as compared to Class 2. To evaluate the performance of the proposed DSA, we model the state transitions for DSA as a multi-dimensional Markov chain with three-state variables, which present the number of packets in the system of the primary users, the secondary Class 1, and secondary Class 2. In particular, the blocking and dropping probabilities of the two secondary traffic classes are assessed. |
doi_str_mv | 10.1109/LCOMM.2014.2319253 |
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Assume that there are three classes of traffic, one traffic class of the primary user and two traffic classes of the secondary users, namely, Class 1 and Class 2. The traffic of the primary user has the highest priority, i.e., the primary users can access the spectrum at any time with the largest bandwidth demand. Furthermore, Class 1 has higher access and handoff priority as well as larger bandwidth demand as compared to Class 2. To evaluate the performance of the proposed DSA, we model the state transitions for DSA as a multi-dimensional Markov chain with three-state variables, which present the number of packets in the system of the primary users, the secondary Class 1, and secondary Class 2. 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(IEEE) Jul 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c361t-f9c8b594561f016ce5a6e70b7455f032808a6a6d7c5411157365ecd6889934dc3</citedby><cites>FETCH-LOGICAL-c361t-f9c8b594561f016ce5a6e70b7455f032808a6a6d7c5411157365ecd6889934dc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6803911$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,780,784,885,27923,27924,54795</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28691991$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:bth-6606$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Thi My Chinh Chu</creatorcontrib><creatorcontrib>Hoc Phan</creatorcontrib><creatorcontrib>Zepernick, Hans-Jürgen</creatorcontrib><title>Dynamic Spectrum Access for Cognitive Radio Networks With Prioritized Traffics</title><title>IEEE communications letters</title><addtitle>COML</addtitle><description>We develop a dynamic spectrum access (DSA) strategy for cognitive radio networks where prioritized traffic is considered. Assume that there are three classes of traffic, one traffic class of the primary user and two traffic classes of the secondary users, namely, Class 1 and Class 2. The traffic of the primary user has the highest priority, i.e., the primary users can access the spectrum at any time with the largest bandwidth demand. Furthermore, Class 1 has higher access and handoff priority as well as larger bandwidth demand as compared to Class 2. To evaluate the performance of the proposed DSA, we model the state transitions for DSA as a multi-dimensional Markov chain with three-state variables, which present the number of packets in the system of the primary users, the secondary Class 1, and secondary Class 2. In particular, the blocking and dropping probabilities of the two secondary traffic classes are assessed.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Bandwidth</subject><subject>Bandwidths</subject><subject>Cognitive radio</subject><subject>Cognitive Radio Networks</subject><subject>Cryptography</subject><subject>Dynamic Spectrum Access</subject><subject>Equations</subject><subject>Exact sciences and technology</subject><subject>Information, signal and communications theory</subject><subject>Manganese</subject><subject>Mathematical model</subject><subject>Prioritized Traffics</subject><subject>Probability</subject><subject>Radiocommunication specific techniques</subject><subject>Radiocommunications</subject><subject>Signal and communications theory</subject><subject>Spectrum allocation</subject><subject>Steady-state</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><issn>1089-7798</issn><issn>1558-2558</issn><issn>1558-2558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNo9kFtPAjEQhTdGExH9A_rSxPhkFjvttts-EvCWABqvj03ptloViu0iwV_vIoSXmUnOd04mJ8uOAXcAsLwY9O6Gww7BUHQIBUkY3clawJjISTN2mxsLmZelFPvZQUofGGNBGLSyUX851RNv0OPMmjrOJ6hrjE0JuRBRL7xNfe1_LHrQlQ9oZOtFiJ8Jvfr6Hd1HH2Ij_9oKPUXtnDfpMNtz-ivZo81uZ89Xl0-9m3xwd33b6w5yQznUuZNGjJksGAeHgRvLNLclHpcFYw5TIrDQXPOqNKwAAFZSzqypuBBS0qIytJ2dr3PTws7mYzWLfqLjUgXtVd-_dFWIb2pcvyvOMW_o0zU9i-F7blOtPsI8TpsHFbBCsoIWBBqKrCkTQ0rRum0qYLVqWf23rFYtq03LjelsE62T0V8u6qnxaeskgkuQchV-sua8tXYrc4GpBKB_j4OE2A</recordid><startdate>20140701</startdate><enddate>20140701</enddate><creator>Thi My Chinh Chu</creator><creator>Hoc Phan</creator><creator>Zepernick, Hans-Jürgen</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Assume that there are three classes of traffic, one traffic class of the primary user and two traffic classes of the secondary users, namely, Class 1 and Class 2. The traffic of the primary user has the highest priority, i.e., the primary users can access the spectrum at any time with the largest bandwidth demand. Furthermore, Class 1 has higher access and handoff priority as well as larger bandwidth demand as compared to Class 2. To evaluate the performance of the proposed DSA, we model the state transitions for DSA as a multi-dimensional Markov chain with three-state variables, which present the number of packets in the system of the primary users, the secondary Class 1, and secondary Class 2. In particular, the blocking and dropping probabilities of the two secondary traffic classes are assessed.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/LCOMM.2014.2319253</doi><tpages>4</tpages></addata></record> |
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subjects | Algorithms Applied sciences Bandwidth Bandwidths Cognitive radio Cognitive Radio Networks Cryptography Dynamic Spectrum Access Equations Exact sciences and technology Information, signal and communications theory Manganese Mathematical model Prioritized Traffics Probability Radiocommunication specific techniques Radiocommunications Signal and communications theory Spectrum allocation Steady-state Telecommunications Telecommunications and information theory |
title | Dynamic Spectrum Access for Cognitive Radio Networks With Prioritized Traffics |
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