Robust power allocation for orthogonal frequency division multiplexing-based overlay/underlay cognitive radio network under spectrum sensing errors and channel uncertainties
In this study, a robust power allocation scheme with orthogonal frequency division multiplexing-based cognitive radio network is proposed to maximise total data transmission rate subject to interference power constraint of primary user (PU) and transmit power budget constraint of secondary user wher...
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Published in | IET communications Vol. 10; no. 15; pp. 2010 - 2017 |
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Format | Journal Article |
Language | English |
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The Institution of Engineering and Technology
13.10.2016
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Abstract | In this study, a robust power allocation scheme with orthogonal frequency division multiplexing-based cognitive radio network is proposed to maximise total data transmission rate subject to interference power constraint of primary user (PU) and transmit power budget constraint of secondary user where channel uncertainties and spectrum sensing errors are simultaneously considered. The authors first formulate the interference model by taking the imperfect spectrum sensing into account, then the channel state information errors are considered and assumed to be bounded with ellipsoidal and interval sets to establish robust resource allocation problem. On the basis of the worst-case approach and Lagrange dual decomposition method, the original optimisation problem is converted into a convex one and solved. Simulation results show the robustness of their proposed scheme and the trade-off performance with a sub-optimal data transmission rate, but better protection of PU. |
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AbstractList | In this study, a robust power allocation scheme with orthogonal frequency division multiplexing‐based cognitive radio network is proposed to maximise total data transmission rate subject to interference power constraint of primary user (PU) and transmit power budget constraint of secondary user where channel uncertainties and spectrum sensing errors are simultaneously considered. The authors first formulate the interference model by taking the imperfect spectrum sensing into account, then the channel state information errors are considered and assumed to be bounded with ellipsoidal and interval sets to establish robust resource allocation problem. On the basis of the worst‐case approach and Lagrange dual decomposition method, the original optimisation problem is converted into a convex one and solved. Simulation results show the robustness of their proposed scheme and the trade‐off performance with a sub‐optimal data transmission rate, but better protection of PU. |
Author | Zhao, Xiaohui Zhu, Ling |
Author_xml | – sequence: 1 givenname: Ling surname: Zhu fullname: Zhu, Ling organization: College of Communication Engineering, Jilin University, Changchun 130012, People's Republic of China – sequence: 2 givenname: Xiaohui surname: Zhao fullname: Zhao, Xiaohui email: xhzhao@jlu.edu.cn organization: College of Communication Engineering, Jilin University, Changchun 130012, People's Republic of China |
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CitedBy_id | crossref_primary_10_1016_j_aeue_2018_01_012 crossref_primary_10_1155_2019_2875136 crossref_primary_10_1109_ACCESS_2018_2879901 crossref_primary_10_1016_j_phycom_2018_09_002 crossref_primary_10_1049_cmu2_12157 crossref_primary_10_1049_iet_com_2019_1305 crossref_primary_10_1007_s12083_018_0665_x |
Cites_doi | 10.1109/JSAC.2006.879350 10.1007/978-3-662-05796-4_12 10.1109/JPROC.2009.2015718 10.1109/TVT.2011.2158673 10.1049/iet‐spr.2015.0022 10.1049/iet‐com.2014.0300 10.1109/5.387096 10.1109/TVT.2012.2205719 10.1109/TWC.2014.2318719 10.1109/JSAC.2004.839380 10.1109/LCOMM.2012.070512.120662 10.1109/VETECF.2010.5594305 10.1109/98.788210 10.1017/CBO9780511804441 10.1109/TVT.2011.2126613 10.1109/TWC.2013.011713.120155 10.1109/COMST.2015.2425040 10.1016/0024‐3795(94)00344‐D 10.1109/TWC.2010.06.090912 10.1109/TWC.2008.4472014 10.1109/TWC.2013.062413.121892 10.1057/palgrave.jors.2600425 |
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Keywords | spectrum sensing errors radio spectrum management channel state information errors telecommunication power management channel uncertainties power allocation secondary user cognitive radio primary user orthogonal frequency division multiplexing-based overlay/underlay cognitive radio network interference model Lagrange dual decomposition OFDM modulation |
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SubjectTerms | Allocations channel state information errors channel uncertainties Channels cognitive radio Data transmission Detection Error detection interference model Lagrange dual decomposition Multiplexing Networks OFDM modulation orthogonal frequency division multiplexing‐based overlay/underlay cognitive radio network power allocation primary user radio spectrum management Regular Papers secondary user spectrum sensing errors telecommunication power management Uncertainty |
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Title | Robust power allocation for orthogonal frequency division multiplexing-based overlay/underlay cognitive radio network under spectrum sensing errors and channel uncertainties |
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