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Coexisting with the dynamic PU, the effect of PU‐returns on a secondary network
Summary Coexisting with a dynamic primary user network is a challenge in cognitive radio networks, since the rate at which primary user reoccupies the spectrum is high. Therefore, it is important to investigate deeply the effect of primary traffic dynamics on secondary network performance metrics. T...
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Published in: | International journal of communication systems 2017-10, Vol.30 (15), p.n/a |
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container_title | International journal of communication systems |
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creator | Amini, Mohammad Reza Mahdavi, Mehdi Omidi, Mohammad Javad |
description | Summary
Coexisting with a dynamic primary user network is a challenge in cognitive radio networks, since the rate at which primary user reoccupies the spectrum is high. Therefore, it is important to investigate deeply the effect of primary traffic dynamics on secondary network performance metrics. To do that, interference due to both sensing error and primary user re‐occupancy must be formulated and considered in throughput and collision probability. Besides them, secondary packet retransmissions due to such interference should be considered in metrics such as average energy consumption and average packet delay. In this study, we formulate the mentioned secondary network metrics regarding to such kinds of interference and secondary packet retransmission. Numerical results along with discussions are given to clarify derived expressions. Simulations are also performed to justify the theoretical results, and optimum operating point for secondary network settings is derived by genetic algorithm.
1‐formulation of throughput, energy consumption, delay, and percentage of collision considering PU re‐occupancy and SU re‐transmissions
2‐ investigation of the PU ON‐OFF rate on network metrics |
doi_str_mv | 10.1002/dac.3316 |
format | article |
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Coexisting with a dynamic primary user network is a challenge in cognitive radio networks, since the rate at which primary user reoccupies the spectrum is high. Therefore, it is important to investigate deeply the effect of primary traffic dynamics on secondary network performance metrics. To do that, interference due to both sensing error and primary user re‐occupancy must be formulated and considered in throughput and collision probability. Besides them, secondary packet retransmissions due to such interference should be considered in metrics such as average energy consumption and average packet delay. In this study, we formulate the mentioned secondary network metrics regarding to such kinds of interference and secondary packet retransmission. Numerical results along with discussions are given to clarify derived expressions. Simulations are also performed to justify the theoretical results, and optimum operating point for secondary network settings is derived by genetic algorithm.
1‐formulation of throughput, energy consumption, delay, and percentage of collision considering PU re‐occupancy and SU re‐transmissions
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Coexisting with a dynamic primary user network is a challenge in cognitive radio networks, since the rate at which primary user reoccupies the spectrum is high. Therefore, it is important to investigate deeply the effect of primary traffic dynamics on secondary network performance metrics. To do that, interference due to both sensing error and primary user re‐occupancy must be formulated and considered in throughput and collision probability. Besides them, secondary packet retransmissions due to such interference should be considered in metrics such as average energy consumption and average packet delay. In this study, we formulate the mentioned secondary network metrics regarding to such kinds of interference and secondary packet retransmission. Numerical results along with discussions are given to clarify derived expressions. Simulations are also performed to justify the theoretical results, and optimum operating point for secondary network settings is derived by genetic algorithm.
1‐formulation of throughput, energy consumption, delay, and percentage of collision considering PU re‐occupancy and SU re‐transmissions
2‐ investigation of the PU ON‐OFF rate on network metrics</description><subject>average packet delay</subject><subject>Cognitive radio</subject><subject>Collision dynamics</subject><subject>collision probability</subject><subject>Computer simulation</subject><subject>Energy consumption</subject><subject>Error detection</subject><subject>Genetic algorithms</subject><subject>Interference</subject><subject>Performance measurement</subject><subject>performance metric</subject><subject>throughput</subject><subject>Traffic flow</subject><issn>1074-5351</issn><issn>1099-1131</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kM1KAzEUhYMoWKvgIwTcuHBqcjOZ6SzL-AsFFew6zCQ3dmo7qcmU2p2P4DP6JKatWzf3j497DoeQc84GnDG4NpUeCMGzA9LjrCgSzgU_3M55mkgh-TE5CWHGGBtCJnvkpXT42YSuad_ouummtJsiNZu2WjSaPk-udjtai7qjzsbLz9e3x27l20BdSysaULvWVH5DW-zWzr-fkiNbzQOe_fU-mdzdvpYPyfjp_rEcjRMNhcgSCSY3AlIEXtdpLAgSUmNqK3ORp5xjJSutIZcpWIGm1iBAs2Gtkae6sKJPLvZ_l959rDB0auairSipeCGGkmcAEKnLPaW9C8GjVUvfLKJdxZnaBqZiYGobWESTPbpu5rj5l1M3o3LH_wJYzWwL</recordid><startdate>201710</startdate><enddate>201710</enddate><creator>Amini, Mohammad Reza</creator><creator>Mahdavi, Mehdi</creator><creator>Omidi, Mohammad Javad</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-6921-7767</orcidid></search><sort><creationdate>201710</creationdate><title>Coexisting with the dynamic PU, the effect of PU‐returns on a secondary network</title><author>Amini, Mohammad Reza ; Mahdavi, Mehdi ; Omidi, Mohammad Javad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2936-52d7d324e21bb421be2524ddbf5737411ea5acc27542f3edbc232c08bce14c9f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>average packet delay</topic><topic>Cognitive radio</topic><topic>Collision dynamics</topic><topic>collision probability</topic><topic>Computer simulation</topic><topic>Energy consumption</topic><topic>Error detection</topic><topic>Genetic algorithms</topic><topic>Interference</topic><topic>Performance measurement</topic><topic>performance metric</topic><topic>throughput</topic><topic>Traffic flow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Amini, Mohammad Reza</creatorcontrib><creatorcontrib>Mahdavi, Mehdi</creatorcontrib><creatorcontrib>Omidi, Mohammad Javad</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>International journal of communication systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Amini, Mohammad Reza</au><au>Mahdavi, Mehdi</au><au>Omidi, Mohammad Javad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Coexisting with the dynamic PU, the effect of PU‐returns on a secondary network</atitle><jtitle>International journal of communication systems</jtitle><date>2017-10</date><risdate>2017</risdate><volume>30</volume><issue>15</issue><epage>n/a</epage><issn>1074-5351</issn><eissn>1099-1131</eissn><abstract>Summary
Coexisting with a dynamic primary user network is a challenge in cognitive radio networks, since the rate at which primary user reoccupies the spectrum is high. Therefore, it is important to investigate deeply the effect of primary traffic dynamics on secondary network performance metrics. To do that, interference due to both sensing error and primary user re‐occupancy must be formulated and considered in throughput and collision probability. Besides them, secondary packet retransmissions due to such interference should be considered in metrics such as average energy consumption and average packet delay. In this study, we formulate the mentioned secondary network metrics regarding to such kinds of interference and secondary packet retransmission. Numerical results along with discussions are given to clarify derived expressions. Simulations are also performed to justify the theoretical results, and optimum operating point for secondary network settings is derived by genetic algorithm.
1‐formulation of throughput, energy consumption, delay, and percentage of collision considering PU re‐occupancy and SU re‐transmissions
2‐ investigation of the PU ON‐OFF rate on network metrics</abstract><cop>Chichester</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/dac.3316</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-6921-7767</orcidid></addata></record> |
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subjects | average packet delay Cognitive radio Collision dynamics collision probability Computer simulation Energy consumption Error detection Genetic algorithms Interference Performance measurement performance metric throughput Traffic flow |
title | Coexisting with the dynamic PU, the effect of PU‐returns on a secondary network |
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