Transmission Strategy Design in Cognitive Radio Systems With Primary ARQ Control and QoS Provisioning
In this paper, we consider an underlay cognitive radio paradigm with a primary packet system which implements automatic repeat request (ARQ)-based error control. We propose cognitive transmission strategies which provision for minimum primary quality of service (QoS) requirements. The proposed strat...
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Veröffentlicht in: | IEEE transactions on communications 2014-06, Vol.62 (6), p.1790-1802 |
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description | In this paper, we consider an underlay cognitive radio paradigm with a primary packet system which implements automatic repeat request (ARQ)-based error control. We propose cognitive transmission strategies which provision for minimum primary quality of service (QoS) requirements. The proposed strategies take advantage of opportunities that arise during ARQ retransmissions of the primary system at the link layer, and adapt channel fading variations by employing adaptive modulation and coding (AMC) and power control at the physical layer. In this cross-layer formulation, the cognitive throughput is optimized subject to 1) a packet-loss-rate (PLR) constraint on the cognitive link, and 2) a minimum required throughput and a PLR constraint on the primary link. We first derive analytical expressions for the link-layer throughput of the cognitive link defined in terms of the data rate successfully received at the receiver side. Next, we present optimized AMC and power control schemes for the cognitive transmitter. Numerical results show significant improvement in terms of the cognitive throughput and PLR performance. Namely, when the cognitive transmitter employs both power and rate control the throughput-maximizing strategy is determined based on a tradeoff between the primary PLR and delay (in terms of the number of retransmission rounds) QoS metrics. |
doi_str_mv | 10.1109/TCOMM.2014.2317186 |
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We propose cognitive transmission strategies which provision for minimum primary quality of service (QoS) requirements. The proposed strategies take advantage of opportunities that arise during ARQ retransmissions of the primary system at the link layer, and adapt channel fading variations by employing adaptive modulation and coding (AMC) and power control at the physical layer. In this cross-layer formulation, the cognitive throughput is optimized subject to 1) a packet-loss-rate (PLR) constraint on the cognitive link, and 2) a minimum required throughput and a PLR constraint on the primary link. We first derive analytical expressions for the link-layer throughput of the cognitive link defined in terms of the data rate successfully received at the receiver side. Next, we present optimized AMC and power control schemes for the cognitive transmitter. Numerical results show significant improvement in terms of the cognitive throughput and PLR performance. Namely, when the cognitive transmitter employs both power and rate control the throughput-maximizing strategy is determined based on a tradeoff between the primary PLR and delay (in terms of the number of retransmission rounds) QoS metrics.</description><identifier>ISSN: 0090-6778</identifier><identifier>EISSN: 1558-0857</identifier><identifier>DOI: 10.1109/TCOMM.2014.2317186</identifier><identifier>CODEN: IECMBT</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Automatic repeat request ; Coding, codes ; Cognitive radio ; Control systems ; Exact sciences and technology ; Fading ; Information, signal and communications theory ; Links ; Mathematical models ; Modulation, demodulation ; Operation, maintenance, reliability ; Physical layer ; Power control ; Quality of service ; Radio transmitters ; Radiocommunication specific techniques ; Radiocommunications ; Receivers ; Signal and communications theory ; Strategy ; Systems, networks and services of telecommunications ; Telecommunications ; Telecommunications and information theory ; Throughput ; Transmitters</subject><ispartof>IEEE transactions on communications, 2014-06, Vol.62 (6), p.1790-1802</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Jun 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-168a1b077613014dd366d6cf595d8abb46c583ea742d87fde4c25263c8dce7753</citedby><cites>FETCH-LOGICAL-c358t-168a1b077613014dd366d6cf595d8abb46c583ea742d87fde4c25263c8dce7753</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6797860$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6797860$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28721085$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Seifali Harsini, Jalil</creatorcontrib><creatorcontrib>Zorzi, Michele</creatorcontrib><title>Transmission Strategy Design in Cognitive Radio Systems With Primary ARQ Control and QoS Provisioning</title><title>IEEE transactions on communications</title><addtitle>TCOMM</addtitle><description>In this paper, we consider an underlay cognitive radio paradigm with a primary packet system which implements automatic repeat request (ARQ)-based error control. We propose cognitive transmission strategies which provision for minimum primary quality of service (QoS) requirements. The proposed strategies take advantage of opportunities that arise during ARQ retransmissions of the primary system at the link layer, and adapt channel fading variations by employing adaptive modulation and coding (AMC) and power control at the physical layer. In this cross-layer formulation, the cognitive throughput is optimized subject to 1) a packet-loss-rate (PLR) constraint on the cognitive link, and 2) a minimum required throughput and a PLR constraint on the primary link. We first derive analytical expressions for the link-layer throughput of the cognitive link defined in terms of the data rate successfully received at the receiver side. Next, we present optimized AMC and power control schemes for the cognitive transmitter. Numerical results show significant improvement in terms of the cognitive throughput and PLR performance. Namely, when the cognitive transmitter employs both power and rate control the throughput-maximizing strategy is determined based on a tradeoff between the primary PLR and delay (in terms of the number of retransmission rounds) QoS metrics.</description><subject>Applied sciences</subject><subject>Automatic repeat request</subject><subject>Coding, codes</subject><subject>Cognitive radio</subject><subject>Control systems</subject><subject>Exact sciences and technology</subject><subject>Fading</subject><subject>Information, signal and communications theory</subject><subject>Links</subject><subject>Mathematical models</subject><subject>Modulation, demodulation</subject><subject>Operation, maintenance, reliability</subject><subject>Physical layer</subject><subject>Power control</subject><subject>Quality of service</subject><subject>Radio transmitters</subject><subject>Radiocommunication specific techniques</subject><subject>Radiocommunications</subject><subject>Receivers</subject><subject>Signal and communications theory</subject><subject>Strategy</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Throughput</subject><subject>Transmitters</subject><issn>0090-6778</issn><issn>1558-0857</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkctKAzEUhoMoWKsvoJuACG6m5jK5zFLqFSxeWnE5pEmmpkwTTaaFvr2pLS5cZXG-85P_OwCcYjTAGFVXk-HzaDQgCJcDQrHAku-BHmZMFkgysQ96CFWo4ELIQ3CU0hwhVCJKe8BOovJp4VJywcNxF1VnZ2t4Y5Obeeg8HIaZd51bWfimjAtwvE6dXST44bpP-BLdQsU1vH57zaDvYmih8ga-hnGehZXbpDo_OwYHjWqTPdm9ffB-dzsZPhRPz_ePw-unQlMmuwJzqfAUCcExzVWMoZwbrhtWMSPVdFpyzSS1SpTESNEYW2rCCKdaGm2FYLQPLre5XzF8L23q6txM27ZV3oZlqrORShBJOMno-T90HpbR599lquQIV5WsMkW2lI4hpWib-mtbucao3pivf83XG_P1znxeuthFq6RV22TD2qW_TSIFwfksmTvbcs5a-zfmohKSI_oDFo2L_w</recordid><startdate>20140601</startdate><enddate>20140601</enddate><creator>Seifali Harsini, Jalil</creator><creator>Zorzi, Michele</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20140601</creationdate><title>Transmission Strategy Design in Cognitive Radio Systems With Primary ARQ Control and QoS Provisioning</title><author>Seifali Harsini, Jalil ; Zorzi, Michele</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-168a1b077613014dd366d6cf595d8abb46c583ea742d87fde4c25263c8dce7753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Applied sciences</topic><topic>Automatic repeat request</topic><topic>Coding, codes</topic><topic>Cognitive radio</topic><topic>Control systems</topic><topic>Exact sciences and technology</topic><topic>Fading</topic><topic>Information, signal and communications theory</topic><topic>Links</topic><topic>Mathematical models</topic><topic>Modulation, demodulation</topic><topic>Operation, maintenance, reliability</topic><topic>Physical layer</topic><topic>Power control</topic><topic>Quality of service</topic><topic>Radio transmitters</topic><topic>Radiocommunication specific techniques</topic><topic>Radiocommunications</topic><topic>Receivers</topic><topic>Signal and communications theory</topic><topic>Strategy</topic><topic>Systems, networks and services of telecommunications</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Throughput</topic><topic>Transmitters</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Seifali Harsini, Jalil</creatorcontrib><creatorcontrib>Zorzi, Michele</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005–Present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Seifali Harsini, Jalil</au><au>Zorzi, Michele</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transmission Strategy Design in Cognitive Radio Systems With Primary ARQ Control and QoS Provisioning</atitle><jtitle>IEEE transactions on communications</jtitle><stitle>TCOMM</stitle><date>2014-06-01</date><risdate>2014</risdate><volume>62</volume><issue>6</issue><spage>1790</spage><epage>1802</epage><pages>1790-1802</pages><issn>0090-6778</issn><eissn>1558-0857</eissn><coden>IECMBT</coden><abstract>In this paper, we consider an underlay cognitive radio paradigm with a primary packet system which implements automatic repeat request (ARQ)-based error control. We propose cognitive transmission strategies which provision for minimum primary quality of service (QoS) requirements. The proposed strategies take advantage of opportunities that arise during ARQ retransmissions of the primary system at the link layer, and adapt channel fading variations by employing adaptive modulation and coding (AMC) and power control at the physical layer. In this cross-layer formulation, the cognitive throughput is optimized subject to 1) a packet-loss-rate (PLR) constraint on the cognitive link, and 2) a minimum required throughput and a PLR constraint on the primary link. We first derive analytical expressions for the link-layer throughput of the cognitive link defined in terms of the data rate successfully received at the receiver side. Next, we present optimized AMC and power control schemes for the cognitive transmitter. Numerical results show significant improvement in terms of the cognitive throughput and PLR performance. Namely, when the cognitive transmitter employs both power and rate control the throughput-maximizing strategy is determined based on a tradeoff between the primary PLR and delay (in terms of the number of retransmission rounds) QoS metrics.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TCOMM.2014.2317186</doi><tpages>13</tpages></addata></record> |
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subjects | Applied sciences Automatic repeat request Coding, codes Cognitive radio Control systems Exact sciences and technology Fading Information, signal and communications theory Links Mathematical models Modulation, demodulation Operation, maintenance, reliability Physical layer Power control Quality of service Radio transmitters Radiocommunication specific techniques Radiocommunications Receivers Signal and communications theory Strategy Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Throughput Transmitters |
title | Transmission Strategy Design in Cognitive Radio Systems With Primary ARQ Control and QoS Provisioning |
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