Power Minimization for Cognitive Relay Networks with Interference-Based Strategy
For the cognitive relay networks, an optimal power allocation algorithm is proposed to minimize the total power consumption, under the promise for the anti-interference performance of the primary subsystem and throughput constraints of the secondary subsystem. An interference-based strategy is prese...
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| Veröffentlicht in: | IEEE communications letters 2013-10, Vol.17 (10), p.1936-1939 |
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| container_end_page | 1939 |
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| container_issue | 10 |
| container_start_page | 1936 |
| container_title | IEEE communications letters |
| container_volume | 17 |
| creator | Jiang, Xianyang Lu, Jianhua |
| description | For the cognitive relay networks, an optimal power allocation algorithm is proposed to minimize the total power consumption, under the promise for the anti-interference performance of the primary subsystem and throughput constraints of the secondary subsystem. An interference-based strategy is presented to use different power allocation methods according to the interferences created by the secondary subsystem to the primary subsystem, comparing with the location-aware strategy in which the channel conditions are considered only with the location information. A kind of computing algorithm joint the subgradient and Newton's methods is also given to resolve the complex optimization problem. The numerical results demonstrate the strength of our proposed schemes. |
| doi_str_mv | 10.1109/LCOMM.2013.082613.131430 |
| format | Article |
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An interference-based strategy is presented to use different power allocation methods according to the interferences created by the secondary subsystem to the primary subsystem, comparing with the location-aware strategy in which the channel conditions are considered only with the location information. A kind of computing algorithm joint the subgradient and Newton's methods is also given to resolve the complex optimization problem. The numerical results demonstrate the strength of our proposed schemes.</description><identifier>ISSN: 1089-7798</identifier><identifier>EISSN: 1558-2558</identifier><identifier>DOI: 10.1109/LCOMM.2013.082613.131430</identifier><identifier>CODEN: ICLEF6</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Cognitive radio ; Cognitive relay networks ; energy efficiency ; Exact sciences and technology ; Information, signal and communications theory ; interference-based strategy ; Multiplexing ; OFDM ; Optimization ; Power demand ; power minimization ; Relays ; Resource management ; Signal and communications theory ; Systems, networks and services of telecommunications ; Telecommunications ; Telecommunications and information theory ; Throughput ; Transmission and modulation (techniques and equipments)</subject><ispartof>IEEE communications letters, 2013-10, Vol.17 (10), p.1936-1939</ispartof><rights>2014 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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The numerical results demonstrate the strength of our proposed schemes.</description><subject>Applied sciences</subject><subject>Cognitive radio</subject><subject>Cognitive relay networks</subject><subject>energy efficiency</subject><subject>Exact sciences and technology</subject><subject>Information, signal and communications theory</subject><subject>interference-based strategy</subject><subject>Multiplexing</subject><subject>OFDM</subject><subject>Optimization</subject><subject>Power demand</subject><subject>power minimization</subject><subject>Relays</subject><subject>Resource management</subject><subject>Signal and communications theory</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Throughput</subject><subject>Transmission and modulation (techniques and equipments)</subject><issn>1089-7798</issn><issn>1558-2558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtOwzAQRSMEElD4AjaWEMsUj534sYSKl9QC4rG2HHdSDG0CtktVvp6UVGzmjjRnZqSTZQToEIDq8_HoYTIZMgp8SBUTXQCHgtOd7ADKUuWsK7tdT5XOpdRqPzuM8Z3SDi7hIHt8bFcYyMQ3fuF_bPJtQ-o2kFE7a3zy30iecG7X5B7Tqg0fkax8eiN3TcJQY8DGYX5pI07Jcwo24Wx9lO3Vdh7xeJuD7PX66mV0m48fbu5GF-PccS5TbkVlAasCEQRoVyMUWjmuprJ2olIlpYVCqpmrQVcgpUJVSYYWKCunWgs-yE77u5-h_VpiTOa9XYame2mgKKQUgnPoKNVTLrQxBqzNZ_ALG9YGqNn4M3_-zMaf6f2Z3l-3erZ9YKOz8zrYxvn4v8-kUoqzDXfScx4R_8eiVFIJxn8B92N5yA</recordid><startdate>20131001</startdate><enddate>20131001</enddate><creator>Jiang, Xianyang</creator><creator>Lu, Jianhua</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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| ispartof | IEEE communications letters, 2013-10, Vol.17 (10), p.1936-1939 |
| issn | 1089-7798 1558-2558 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Applied sciences Cognitive radio Cognitive relay networks energy efficiency Exact sciences and technology Information, signal and communications theory interference-based strategy Multiplexing OFDM Optimization Power demand power minimization Relays Resource management Signal and communications theory Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Throughput Transmission and modulation (techniques and equipments) |
| title | Power Minimization for Cognitive Relay Networks with Interference-Based Strategy |
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