LEADER 04084nam 22005295 450 001 9910337467003321 005 20200701114704.0 010 $a3-319-73957-3 024 7 $a10.1007/978-3-319-73957-1 035 $a(CKB)4100000004821659 035 $a(DE-He213)978-3-319-73957-1 035 $a(MiAaPQ)EBC5400817 035 $z(PPN)258862289 035 $a(PPN)227400461 035 $a(EXLCZ)994100000004821659 100 $a20180522d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCooperative Spectrum Sensing and Resource Allocation Strategies in Cognitive Radio Networks /$fby Xavier Fernando, Ajmery Sultana, Sattar Hussain, Lian Zhao 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (X, 107 p. 38 illus.) 225 1 $aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 311 $a3-319-73956-5 327 $a1 Introduction -- 2 Relay-Based Cooperative Spectrum Sensing -- 3 Cluster-Based Cooperative Spectrum Sensing -- 4 Taxonomy of the Resource Allocation in CRNs -- 5 Resource Allocation in CRNs -- 6 Resource Allocation in CRNs with D2D Communication -- 7 Conclusion and Future Research Directions. 330 $aCognitive radio networks (CRN) will be widely deployed in the near future, and this SpringerBrief covers some important aspects of it, as well as highlighting optimization strategies in Resource Allocation and Spectrum Sensing in CRNs. The cognitive approach in radio access is introduced in the first part of this SpringerBrief, and then  next the benefits of cooperative spectrum sensing are highlighted and a framework for studying it under realistic channel conditions is described.  New exact closed-form expressions for average false alarm probability and average detection probability are derived in this scenario. A novel approximation to alleviate the computational complexity of the proposed models are also discussed. Once the spectrum opportunities are identified, efficient and systematic resource allocation (RA) shall be performed. The second part of this SpringerBrief describes the taxonomy for the RA process in CRN.  A comprehensive overview of the optimization strategies of the CRN RA is also provided. The device-to-device (D2D) communication scenario is discussed, then as a case study and various optimization strategies for the application of the CR technology in the D2D realm is studied. The application of advanced geometric water-filling (GWF) approach in CRN D2D environment for optimum resource allocation is presented in detail. Numerical results provide more insight quantitatively. Overall, this book is suitable for a wide audience that include students, faculty and researchers in wireless communication area and professionals in the wireless service industry. 410 0$aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 606 $aElectrical engineering 606 $aComputer networks 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 615 0$aElectrical engineering. 615 0$aComputer networks. 615 14$aCommunications Engineering, Networks. 615 24$aComputer Communication Networks. 676 $a621.382 700 $aFernando$b Xavier$4aut$4http://id.loc.gov/vocabulary/relators/aut$0845434 702 $aSultana$b Ajmery$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aHussain$b Sattar$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aZhao$b Lian$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910337467003321 996 $aCooperative Spectrum Sensing and Resource Allocation Strategies in Cognitive Radio Networks$92209881 997 $aUNINA