Performance evaluation of cognitive relay networks for end user mobile over mixed realistic channels
Cognitive relay network is a spectrum dynamic paradigm that exploits the unused portions of the licensed spectrum. This is based on merging both cooperative relaying techniques and cognitive radio network to achieve spectrum efficiency and enhance the overall system performance. In this paper, the p...
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| Veröffentlicht in: | IET Communications 2023-01, Vol.17 (2), p.228-245 |
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| creator | Khodeir, Mahmoud A. Al‐Mistarihi, Mamoun F. Ibrahem, Lama N. |
| description | Cognitive relay network is a spectrum dynamic paradigm that exploits the unused portions of the licensed spectrum. This is based on merging both cooperative relaying techniques and cognitive radio network to achieve spectrum efficiency and enhance the overall system performance. In this paper, the presence of mobile users at the destination node is considered. Here, the end users can navigate at relatively fast vehicular velocities causing dynamic multipath fading and high Doppler shift. which can be fairly modelled using Nakagami‐m$m\;$fading channel (i.e. m |
| doi_str_mv | 10.1049/cmu2.12528 |
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This is based on merging both cooperative relaying techniques and cognitive radio network to achieve spectrum efficiency and enhance the overall system performance. In this paper, the presence of mobile users at the destination node is considered. Here, the end users can navigate at relatively fast vehicular velocities causing dynamic multipath fading and high Doppler shift. which can be fairly modelled using Nakagami‐m$m\;$fading channel (i.e. m<1$\;m < 1$). In a spectrum scarcity environment, a secondary user must deploy an optimal power allocation policy to get higher transmission rates while the overall interference affecting the primary user (PU) is kept below a certain threshold value. In particular, the outage probability (OP) performance is studied over the mixed Rayleigh and Nakagami‐m fading channels for different scenarios and a tight closed‐form expressions are derived for the system OP of underlay dual‐hop cognitive relay networks with a single amplifiy‐and‐forward (AF) relay with and without the use of the direct link transmission and selection diversity at the destination with interference power constraints for the primary network over independent and non‐identical (i.n.i.d) Rayleigh and Nakagami‐m fading channels when m<1$m < 1$ based on the statistical characteristics of signal‐to‐noise ratio. Numerical results are presented to evaluate the impact of the fading parameter, m, the maximum aggregated intrusion constraint, and the locations of the primary users (PUs) on different channel scenarios at high vehicular speeds. Monte Carlo simulations are presented to verify and validate analytical results.</description><identifier>ISSN: 1751-8628</identifier><identifier>EISSN: 1751-8636</identifier><identifier>DOI: 10.1049/cmu2.12528</identifier><language>eng</language><publisher>Stevenage: John Wiley & Sons, Inc</publisher><subject>Analysis ; Channels ; Codes ; Cognitive radio ; Communications systems ; Constraints ; Doppler effect ; End users ; Fading ; Fading channels ; Monte Carlo method ; Monte Carlo simulation ; Performance evaluation ; Propagation ; Radio networks ; Receivers & amplifiers ; Relay networks ; Relaying ; Statistical analysis</subject><ispartof>IET Communications, 2023-01, Vol.17 (2), p.228-245</ispartof><rights>2022 The Authors. published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.</rights><rights>COPYRIGHT 2023 John Wiley & Sons, Inc.</rights><rights>2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the "License"). 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This is based on merging both cooperative relaying techniques and cognitive radio network to achieve spectrum efficiency and enhance the overall system performance. In this paper, the presence of mobile users at the destination node is considered. Here, the end users can navigate at relatively fast vehicular velocities causing dynamic multipath fading and high Doppler shift. which can be fairly modelled using Nakagami‐m$m\;$fading channel (i.e. m<1$\;m < 1$). In a spectrum scarcity environment, a secondary user must deploy an optimal power allocation policy to get higher transmission rates while the overall interference affecting the primary user (PU) is kept below a certain threshold value. In particular, the outage probability (OP) performance is studied over the mixed Rayleigh and Nakagami‐m fading channels for different scenarios and a tight closed‐form expressions are derived for the system OP of underlay dual‐hop cognitive relay networks with a single amplifiy‐and‐forward (AF) relay with and without the use of the direct link transmission and selection diversity at the destination with interference power constraints for the primary network over independent and non‐identical (i.n.i.d) Rayleigh and Nakagami‐m fading channels when m<1$m < 1$ based on the statistical characteristics of signal‐to‐noise ratio. Numerical results are presented to evaluate the impact of the fading parameter, m, the maximum aggregated intrusion constraint, and the locations of the primary users (PUs) on different channel scenarios at high vehicular speeds. Monte Carlo simulations are presented to verify and validate analytical results.</description><subject>Analysis</subject><subject>Channels</subject><subject>Codes</subject><subject>Cognitive radio</subject><subject>Communications systems</subject><subject>Constraints</subject><subject>Doppler effect</subject><subject>End users</subject><subject>Fading</subject><subject>Fading channels</subject><subject>Monte Carlo method</subject><subject>Monte Carlo simulation</subject><subject>Performance evaluation</subject><subject>Propagation</subject><subject>Radio networks</subject><subject>Receivers & amplifiers</subject><subject>Relay networks</subject><subject>Relaying</subject><subject>Statistical analysis</subject><issn>1751-8628</issn><issn>1751-8636</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kD9PwzAQxSMEEqWw8AkssSG12E6c2COq-CcVwUBny7UvxSWxi5209NvjEsSIbrgbfu_u3cuyS4KnBBfiRrc9nRLKKD_KRqRiZMLLvDz-myk_zc5iXGPMWFkUo8y8Qqh9aJXTgGCrml511jvka6T9ytnObgEFaNQeOeh2PnxElHgEzqA-QkCtX9oGkN8eZvsFJtGqsbGzGul35Rw08Tw7qVUT4eK3j7PF_d3b7HEyf3l4mt3OJzrHJZ9UhRImuVoyXJWaVyaZZgaUKoRgS80JLSktCdcGc1wDYSovq5wQwXIw1Ih8nF0NezfBf_YQO7n2fXDppMyxoFQQgXGipgO1Ug1I62rfBaVTGWit9g7q9JC8rYoqL1jFD4LrQaCDjzFALTfBtirsJcHyELs8xC5_Yk8wGeBd2rL_h5Sz5wUdNN8QXoR5</recordid><startdate>202301</startdate><enddate>202301</enddate><creator>Khodeir, Mahmoud A.</creator><creator>Al‐Mistarihi, Mamoun F.</creator><creator>Ibrahem, Lama N.</creator><general>John Wiley & Sons, Inc</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IAO</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>S0W</scope><orcidid>https://orcid.org/0000-0002-3487-0237</orcidid></search><sort><creationdate>202301</creationdate><title>Performance evaluation of cognitive relay networks for end user mobile over mixed realistic channels</title><author>Khodeir, Mahmoud A. ; Al‐Mistarihi, Mamoun F. ; Ibrahem, Lama N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3068-74a9d644b5076c87d1755deaa4995bc812622618cd080fe15a367311953ed2d93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Analysis</topic><topic>Channels</topic><topic>Codes</topic><topic>Cognitive radio</topic><topic>Communications systems</topic><topic>Constraints</topic><topic>Doppler effect</topic><topic>End users</topic><topic>Fading</topic><topic>Fading channels</topic><topic>Monte Carlo method</topic><topic>Monte Carlo simulation</topic><topic>Performance evaluation</topic><topic>Propagation</topic><topic>Radio networks</topic><topic>Receivers & amplifiers</topic><topic>Relay networks</topic><topic>Relaying</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khodeir, Mahmoud A.</creatorcontrib><creatorcontrib>Al‐Mistarihi, Mamoun F.</creatorcontrib><creatorcontrib>Ibrahem, Lama N.</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Free Content</collection><collection>CrossRef</collection><collection>Gale Academic OneFile</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>DELNET Engineering & Technology Collection</collection><jtitle>IET Communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khodeir, Mahmoud A.</au><au>Al‐Mistarihi, Mamoun F.</au><au>Ibrahem, Lama N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performance evaluation of cognitive relay networks for end user mobile over mixed realistic channels</atitle><jtitle>IET Communications</jtitle><date>2023-01</date><risdate>2023</risdate><volume>17</volume><issue>2</issue><spage>228</spage><epage>245</epage><pages>228-245</pages><issn>1751-8628</issn><eissn>1751-8636</eissn><abstract>Cognitive relay network is a spectrum dynamic paradigm that exploits the unused portions of the licensed spectrum. This is based on merging both cooperative relaying techniques and cognitive radio network to achieve spectrum efficiency and enhance the overall system performance. In this paper, the presence of mobile users at the destination node is considered. Here, the end users can navigate at relatively fast vehicular velocities causing dynamic multipath fading and high Doppler shift. which can be fairly modelled using Nakagami‐m$m\;$fading channel (i.e. m<1$\;m < 1$). In a spectrum scarcity environment, a secondary user must deploy an optimal power allocation policy to get higher transmission rates while the overall interference affecting the primary user (PU) is kept below a certain threshold value. In particular, the outage probability (OP) performance is studied over the mixed Rayleigh and Nakagami‐m fading channels for different scenarios and a tight closed‐form expressions are derived for the system OP of underlay dual‐hop cognitive relay networks with a single amplifiy‐and‐forward (AF) relay with and without the use of the direct link transmission and selection diversity at the destination with interference power constraints for the primary network over independent and non‐identical (i.n.i.d) Rayleigh and Nakagami‐m fading channels when m<1$m < 1$ based on the statistical characteristics of signal‐to‐noise ratio. Numerical results are presented to evaluate the impact of the fading parameter, m, the maximum aggregated intrusion constraint, and the locations of the primary users (PUs) on different channel scenarios at high vehicular speeds. Monte Carlo simulations are presented to verify and validate analytical results.</abstract><cop>Stevenage</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1049/cmu2.12528</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-3487-0237</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Analysis Channels Codes Cognitive radio Communications systems Constraints Doppler effect End users Fading Fading channels Monte Carlo method Monte Carlo simulation Performance evaluation Propagation Radio networks Receivers & amplifiers Relay networks Relaying Statistical analysis |
| title | Performance evaluation of cognitive relay networks for end user mobile over mixed realistic channels |
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