Joint versus separate spectrum sensing and resource allocation in OFDMA-based cognitive radio networks
In this study, the authors investigate the resource allocation issue for sensing-based orthogonal frequency-division multiple access (OFDMA) cognitive radio networks. They consider a network consisting multiple secondary users (SUs) and a secondary base station (BS) implementing a two-phase protocol...
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| Vydáno v: | IET communications Ročník 10; číslo 7; s. 839 - 847 |
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The Institution of Engineering and Technology
05.05.2016
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| ISSN: | 1751-8628, 1751-8636 |
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| Abstract | In this study, the authors investigate the resource allocation issue for sensing-based orthogonal frequency-division multiple access (OFDMA) cognitive radio networks. They consider a network consisting multiple secondary users (SUs) and a secondary base station (BS) implementing a two-phase protocol. In the first phase, cooperative spectrum sensing is carried out to detect the vacant subchannels. In the second phase, SUs transmit data in the uplink to the BS by using OFDMA. They optimise the sensing parameters, transmit power and subchannel assignments jointly to minimise the total energy consumption with the constraints on SUs’ quality of service and detection probability of the primary user. This is a mixed binary integer programming problem which is NP (non-deterministic polynomial-time)-hard and generally intractable. They represent the problem as a bilevel problem and propose two efficient algorithms to solve the slave and master subproblems. They also study the separate optimisation, in which the sensing parameters of SUs are set regardless of the allocated resources. They investigate the energy savings of joint versus separate optimisation using numerical experiments. The results show that the joint optimisation method can introduce up to 16% of energy saving in zero sensing signal-to-noise ratio with the same total transmission bandwidth of 2.5 MHz. |
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| AbstractList | In this study, the authors investigate the resource allocation issue for sensing‐based orthogonal frequency‐division multiple access (OFDMA) cognitive radio networks. They consider a network consisting multiple secondary users (SUs) and a secondary base station (BS) implementing a two‐phase protocol. In the first phase, cooperative spectrum sensing is carried out to detect the vacant subchannels. In the second phase, SUs transmit data in the uplink to the BS by using OFDMA. They optimise the sensing parameters, transmit power and subchannel assignments jointly to minimise the total energy consumption with the constraints on SUs’ quality of service and detection probability of the primary user. This is a mixed binary integer programming problem which is NP (non‐deterministic polynomial‐time)‐hard and generally intractable. They represent the problem as a bilevel problem and propose two efficient algorithms to solve the slave and master subproblems. They also study the separate optimisation, in which the sensing parameters of SUs are set regardless of the allocated resources. They investigate the energy savings of joint versus separate optimisation using numerical experiments. The results show that the joint optimisation method can introduce up to 16% of energy saving in zero sensing signal‐to‐noise ratio with the same total transmission bandwidth of 2.5 MHz. |
| Author | Sun, Sumei Janatian, Nafiseh Modarres-Hashemi, Mahmood |
| Author_xml | – sequence: 1 givenname: Nafiseh surname: Janatian fullname: Janatian, Nafiseh email: n.janatian@ec.iut.ac.ir organization: 1Department of Electrical Engineering, Isfahan University of Technology, Isfahan, Islamic Republic of Iran – sequence: 2 givenname: Mahmood surname: Modarres-Hashemi fullname: Modarres-Hashemi, Mahmood organization: 1Department of Electrical Engineering, Isfahan University of Technology, Isfahan, Islamic Republic of Iran – sequence: 3 givenname: Sumei surname: Sun fullname: Sun, Sumei organization: 2Institute for Infocomm Research (I2R), ASTAR, 1 Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 138632 |
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| CitedBy_id | crossref_primary_10_1016_j_aeue_2018_01_012 crossref_primary_10_1049_cmu2_12157 crossref_primary_10_1049_iet_com_2019_1305 crossref_primary_10_1007_s11276_017_1463_8 crossref_primary_10_1007_s11227_018_2588_y |
| Cites_doi | 10.1109/TVT.2012.2225650 10.1109/ICC.2014.6884169 10.1109/DYSPAN.2012.6478164 10.1109/TVT.2014.2362936 10.1109/JPROC.2009.2015717 10.1109/CCNC.2012.6181177 10.1109/JSAC.2008.0801007 10.1109/WCSP.2013.6677094 10.1090/S0273‐0979‐04‐01040‐7 10.1109/TWC.2008.060559 10.1016/j.phycom.2010.12.003 10.1109/VTCFall.2012.6399154 10.1093/comjnl/7.4.308 10.1109/TWC.2010.5463212 10.1109/JSAC.2011.110914 10.1109/SURV.2009.090109 10.1049/iet‐net.2012.0007 10.1109/TVT.2010.2096545 10.1109/WCL.2012.042512.120066 10.1109/WCNC.2012.6214454 10.1109/TVT.2012.2225854 10.1007/978-1-4757-3023-4_2 10.1109/TCOMM.2010.110310.090473 |
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| Keywords | secondary base station NP-hard bilevel optimisation problem optimisation resource allocation cognitive radio bandwidth 1.25 MHz mixed binary integer programming problem bandwidth 2.5 MHz joint optimisation method OFDM modulation OFDMA subchannel assignment protocols channel allocation energy consumption transmit power radio spectrum management signal detection frequency division multiple access orthogonal frequency division multiple access quality of service separate optimisation cooperative communication soft cooperative spectrum sensing secondary user signal-to-noise ratio SU sensing parameter two-phase protocol cognitive radio network computational complexity |
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| SubjectTerms | bandwidth 1.25 MHz bandwidth 2.5 MHz bilevel optimisation problem channel allocation Cognitive radio cognitive radio network computational complexity cooperative communication Detection Energy conservation energy consumption frequency division multiple access joint optimisation method Mathematical models mixed binary integer programming problem Networks NP‐hard OFDM modulation OFDMA optimisation Optimization orthogonal frequency division multiple access protocols quality of service radio spectrum management Resource allocation secondary base station secondary user separate optimisation signal detection signal‐to‐noise ratio soft cooperative spectrum sensing SU sensing parameter subchannel assignment transmit power two‐phase protocol Uplinking |
| Title | Joint versus separate spectrum sensing and resource allocation in OFDMA-based cognitive radio networks |
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