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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| Veröffentlicht in: | IET communications Jg. 10; H. 7; S. 839 - 847 |
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The Institution of Engineering and Technology
05.05.2016
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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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| 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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| References | Stotas, S.; Nallanathan, A. (C5) 2011; 59 Wright, M.H. (C25) 2004; 42 Fan, R.; Jiang, H.; Guo, Q. (C8) 2011; 60 Nelder, J.A.; Mead, R. (C18) 1965; 7 Liu, T.; Yang, C.; Yang, L.L. (C21) 2010; 9 Bayhan, S.; Alagoz, F. (C12) 2013; 62 Yuan, D.; Joung, J.; Ho, C.K. (C24) 2013; 62 Qu, Q.; Milstein, L.B.; Vaman, D.R. (C11) 2008; 26 Joung, J.; Yuan, D.; Ho, C.K. (C22) 2012; 1 Digham, F.F.; Alouini, M.S.; Simon, M.K. (C19) 2007; 55 Yücek, T.; Hüseyin, A. (C3) 2009; 11 Akyildiz, I.F.; Lo, B.F.; Balakrishnan, R. (C4) 2011; 4 Pei, Y.; Liang, Y.C.; Teh, K.C. (C13) 2011; 29 Janatian, N.; Sun, S.; Modarres-Hashemi, M. (C16) 2015; 64 Goldsmith, A.; Jafar, S.A.; Marić, I. (C1) 2009; 97 Joung, J.; Ho, C.K.; Tan, P.H. (C17) 2012; 1 Feiten, A.; Mathar, R.; Reyer, M. (C20) 2008; 7 2009; 11 2004; 42 2009; 97 2012; 1 1999; A 2012 2011; 60 2013; 62 2015; 64 1965; 7 2008; 26 2008; 7 2011; 59 2014 2013 2011; 4 2007; 55 2011; 29 2010; 9 e_1_2_7_6_1 e_1_2_7_5_1 e_1_2_7_4_1 Digham F.F. (e_1_2_7_20_1) 2007; 55 e_1_2_7_9_1 e_1_2_7_8_1 e_1_2_7_7_1 e_1_2_7_19_1 e_1_2_7_18_1 e_1_2_7_17_1 e_1_2_7_16_1 e_1_2_7_2_1 e_1_2_7_15_1 e_1_2_7_14_1 e_1_2_7_13_1 e_1_2_7_12_1 e_1_2_7_11_1 e_1_2_7_10_1 Mandayam N.B. (e_1_2_7_3_1) 2013 e_1_2_7_26_1 e_1_2_7_27_1 e_1_2_7_25_1 e_1_2_7_24_1 e_1_2_7_23_1 e_1_2_7_22_1 e_1_2_7_21_1 |
| References_xml | – volume: 60 start-page: 722 issue: 2 year: 2011 end-page: 729 ident: C8 article-title: Joint optimal cooperative sensing and resource allocation in multichannel cognitive radio networks publication-title: IEEE Trans. Veh. Technol. – volume: 42 start-page: 39 issue: 1 year: 2004 end-page: 56 ident: C25 article-title: The interior-point revolution in optimization: history, recent developments, and lasting consequences publication-title: Bull. Am. Math. Soc. – volume: 26 start-page: 70 issue: 1 year: 2008 end-page: 82 ident: C11 article-title: Cognitive radio based multi-user resource allocation in mobile ad hoc networks using multi-carrier CDMA modulation publication-title: IEEE J. Sel. Area Commun. – volume: 64 start-page: 3990 issue: 9 year: 2015 end-page: 3998 ident: C16 article-title: Joint optimal spectrum sensing and power allocation in CDMA-based cognitive radio networks publication-title: IEEE Trans. Veh. Technol. – volume: 7 start-page: 60 issue: 1 year: 2008 end-page: 64 ident: C20 article-title: Rate and power allocation for multiuser OFDM: an effective heuristic verified by branch-and-bound publication-title: IEEE Trans. Wirel. Commun. – volume: 97 start-page: 894 issue: 5 year: 2009 end-page: 914 ident: C1 article-title: Breaking spectrum gridlock with cognitive radios: an information theoretic perspective publication-title: Proc. IEEE – volume: 4 start-page: 40 issue: 1 year: 2011 end-page: 62 ident: C4 article-title: Cooperative spectrum sensing in cognitive radio networks: a survey publication-title: Phys. Commun. – volume: 9 start-page: 1571 issue: 5 year: 2010 end-page: 1576 ident: C21 article-title: A low-complexity subcarrier-power allocation scheme for frequency-division multiple-access systems publication-title: IEEE Trans. Wirel. Commun. – volume: 29 start-page: 1648 issue: 8 year: 2011 end-page: 1659 ident: C13 article-title: Energy-efficient design of sequential channel sensing in cognitive radio networks: optimal sensing strategy, power allocation, and sensing order publication-title: IEEE J. Sel. Areas Commun. – volume: 62 start-page: 582 issue: 2 year: 2013 end-page: 595 ident: C12 article-title: Scheduling in centralized cognitive radio networks for energy efficiency publication-title: IEEE Trans. Veh. Technol. – volume: 1 start-page: 300 issue: 4 year: 2012 end-page: 303 ident: C17 article-title: Energy minimization in OFDMA downlink systems: a sequential linear assignment algorithm for resource allocation publication-title: IEEE Wirel. Commun. Lett. – volume: 55 start-page: 3575 issue: 1 year: 2007 end-page: 3579 ident: C19 article-title: On the energy detection of unknown signals over fading channels publication-title: IEEE Trans. Wirel. Commun. – volume: 11 start-page: 116 issue: 1 year: 2009 end-page: 130 ident: C3 article-title: A survey of spectrum sensing algorithms for cognitive radio applications publication-title: IEEE Commun. Surv. Tutor. – volume: 7 start-page: 308 issue: 4 year: 1965 end-page: 313 ident: C18 article-title: A simplex method for function minimization publication-title: Comput. J. – volume: 59 start-page: 226 year: 2011 end-page: 235 ident: C5 article-title: Optimal sensing time and power allocation in multiband cognitive radio networks publication-title: IEEE Trans. Wirel. Commun. – volume: 1 start-page: 66 issue: 2 year: 2012 end-page: 73 ident: C22 article-title: Energy efficient network flow-based algorithm with flow size adaptation for multiuser multicarrier systems publication-title: IET Netw. – volume: 62 start-page: 863 issue: 2 year: 2013 end-page: 873 ident: C24 article-title: On tractability aspects of optimal resource allocation in OFDMA systems publication-title: IEEE Trans. Veh. Technol. – volume: 1 start-page: 300 issue: 4 year: 2012 end-page: 303 article-title: Energy minimization in OFDMA downlink systems: a sequential linear assignment algorithm for resource allocation publication-title: IEEE Wirel. Commun. Lett. – volume: 11 start-page: 116 issue: 1 year: 2009 end-page: 130 article-title: A survey of spectrum sensing algorithms for cognitive radio applications publication-title: IEEE Commun. Surv. Tutor. – start-page: 408 year: 2012 end-page: 415 – volume: 7 start-page: 60 issue: 1 year: 2008 end-page: 64 article-title: Rate and power allocation for multiuser OFDM: an effective heuristic verified by branch‐and‐bound publication-title: IEEE Trans. Wirel. Commun. – volume: 62 start-page: 863 issue: 2 year: 2013 end-page: 873 article-title: On tractability aspects of optimal resource allocation in OFDMA systems publication-title: IEEE Trans. Veh. Technol. – volume: 60 start-page: 722 issue: 2 year: 2011 end-page: 729 article-title: Joint optimal cooperative sensing and resource allocation in multichannel cognitive radio networks publication-title: IEEE Trans. Veh. Technol. – volume: 4 start-page: 40 issue: 1 year: 2011 end-page: 62 article-title: Cooperative spectrum sensing in cognitive radio networks: a survey publication-title: Phys. Commun. – volume: A start-page: 75 year: 1999 end-page: 149 – volume: 26 start-page: 70 issue: 1 year: 2008 end-page: 82 article-title: Cognitive radio based multi‐user resource allocation in mobile ad hoc networks using multi‐carrier CDMA modulation publication-title: IEEE J. Sel. Area Commun. – start-page: 5336 year: 2014 end-page: 5341 – start-page: 1 year: 2013 end-page: 6 – start-page: 1 year: 2013 end-page: 4 – volume: 55 start-page: 3575 issue: 1 year: 2007 end-page: 3579 article-title: On the energy detection of unknown signals over fading channels publication-title: IEEE Trans. Wirel. Commun. – start-page: 1 year: 2012 end-page: 5 – volume: 59 start-page: 226 year: 2011 end-page: 235 article-title: Optimal sensing time and power allocation in multiband cognitive radio networks publication-title: IEEE Trans. Wirel. Commun. – volume: 62 start-page: 582 issue: 2 year: 2013 end-page: 595 article-title: Scheduling in centralized cognitive radio networks for energy efficiency publication-title: IEEE Trans. Veh. Technol. – start-page: 849 year: 2012 end-page: 853 – volume: 7 start-page: 308 issue: 4 year: 1965 end-page: 313 article-title: A simplex method for function minimization publication-title: Comput. J. – start-page: 674 year: 2012 end-page: 678 – volume: 97 start-page: 894 issue: 5 year: 2009 end-page: 914 article-title: Breaking spectrum gridlock with cognitive radios: an information theoretic perspective publication-title: Proc. IEEE – volume: 64 start-page: 3990 issue: 9 year: 2015 end-page: 3998 article-title: Joint optimal spectrum sensing and power allocation in CDMA‐based cognitive radio networks publication-title: IEEE Trans. Veh. Technol. – volume: 1 start-page: 66 issue: 2 year: 2012 end-page: 73 article-title: Energy efficient network flow‐based algorithm with flow size adaptation for multiuser multicarrier systems publication-title: IET Netw. – volume: 42 start-page: 39 issue: 1 year: 2004 end-page: 56 article-title: The interior‐point revolution in optimization: history, recent developments, and lasting consequences publication-title: Bull. Am. Math. Soc. – volume: 9 start-page: 1571 issue: 5 year: 2010 end-page: 1576 article-title: A low‐complexity subcarrier‐power allocation scheme for frequency‐division multiple‐access systems publication-title: IEEE Trans. Wirel. Commun. – volume: 29 start-page: 1648 issue: 8 year: 2011 end-page: 1659 article-title: Energy‐efficient design of sequential channel sensing in cognitive radio networks: optimal sensing strategy, power allocation, and sensing order publication-title: IEEE J. Sel. Areas Commun. – year: 2013 – ident: e_1_2_7_13_1 doi: 10.1109/TVT.2012.2225650 – ident: e_1_2_7_11_1 doi: 10.1109/ICC.2014.6884169 – ident: e_1_2_7_15_1 doi: 10.1109/DYSPAN.2012.6478164 – ident: e_1_2_7_17_1 doi: 10.1109/TVT.2014.2362936 – ident: e_1_2_7_2_1 doi: 10.1109/JPROC.2009.2015717 – ident: e_1_2_7_10_1 doi: 10.1109/CCNC.2012.6181177 – ident: e_1_2_7_12_1 doi: 10.1109/JSAC.2008.0801007 – start-page: 1 volume-title: Principles of cognitive radio year: 2013 ident: e_1_2_7_3_1 – ident: e_1_2_7_8_1 doi: 10.1109/WCSP.2013.6677094 – ident: e_1_2_7_26_1 doi: 10.1090/S0273‐0979‐04‐01040‐7 – ident: e_1_2_7_21_1 doi: 10.1109/TWC.2008.060559 – ident: e_1_2_7_5_1 doi: 10.1016/j.phycom.2010.12.003 – ident: e_1_2_7_16_1 doi: 10.1109/VTCFall.2012.6399154 – ident: e_1_2_7_19_1 doi: 10.1093/comjnl/7.4.308 – ident: e_1_2_7_22_1 doi: 10.1109/TWC.2010.5463212 – volume: 55 start-page: 3575 issue: 1 year: 2007 ident: e_1_2_7_20_1 article-title: On the energy detection of unknown signals over fading channels publication-title: IEEE Trans. Wirel. Commun. – ident: e_1_2_7_14_1 doi: 10.1109/JSAC.2011.110914 – ident: e_1_2_7_27_1 – ident: e_1_2_7_4_1 doi: 10.1109/SURV.2009.090109 – ident: e_1_2_7_23_1 doi: 10.1049/iet‐net.2012.0007 – ident: e_1_2_7_9_1 doi: 10.1109/TVT.2010.2096545 – ident: e_1_2_7_18_1 doi: 10.1109/WCL.2012.042512.120066 – ident: e_1_2_7_7_1 doi: 10.1109/WCNC.2012.6214454 – ident: e_1_2_7_25_1 doi: 10.1109/TVT.2012.2225854 – ident: e_1_2_7_24_1 doi: 10.1007/978-1-4757-3023-4_2 – ident: e_1_2_7_6_1 doi: 10.1109/TCOMM.2010.110310.090473 |
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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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