LEADER 03932nam 22006855 450 001 9910299244503321 005 20200701101340.0 010 $a3-319-15299-8 024 7 $a10.1007/978-3-319-15299-8 035 $a(CKB)3710000000375613 035 $a(EBL)1998214 035 $a(SSID)ssj0001465268 035 $a(PQKBManifestationID)11882804 035 $a(PQKBTitleCode)TC0001465268 035 $a(PQKBWorkID)11471810 035 $a(PQKB)11572547 035 $a(DE-He213)978-3-319-15299-8 035 $a(MiAaPQ)EBC1998214 035 $a(PPN)184890594 035 $a(EXLCZ)993710000000375613 100 $a20150309d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDynamic Spectrum Access for Wireless Networks /$fby Danda B. Rawat, Min Song, Sachin Shetty 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (83 p.) 225 1 $aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 300 $aDescription based upon print version of record. 311 $a3-319-15298-X 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aAn Overview of Cognitive Radio Networks -- Resource Allocation in Spectrum Underlay Cognitive Radio Networks -- Cloud-integrated Geolocation-aware Dynamic Spectrum Access -- Resource Allocation for Cognitive Radio Enabled Vehicular Network Users. 330 $aThis SpringerBrief presents adaptive resource allocation schemes for secondary users for dynamic spectrum access (DSA) in cognitive radio networks (CRNs) by considering Quality-of-Service requirements, admission control, power/rate control, interference constraints, and the impact of spectrum sensing or primary user interruptions. It presents the challenges, motivations, and applications of the different schemes. The authors discuss cloud-assisted geolocation-aware adaptive resource allocation in CRNs by outsourcing computationally intensive processing to the cloud. Game theoretic approaches are presented to solve resource allocation problems in CRNs. Numerical results are presented to evaluate the performance of the proposed methods. Adaptive Resource Allocation in Cognitive Radio Networks is designed for professionals and researchers working in the area of wireless networks. Advanced-level students in electrical engineering and computer science, especially those focused on wireless networks, will find this information helpful. 410 0$aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 606 $aComputer communication systems 606 $aElectrical engineering 606 $aComputers 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 615 0$aComputer communication systems. 615 0$aElectrical engineering. 615 0$aComputers. 615 14$aComputer Communication Networks. 615 24$aCommunications Engineering, Networks. 615 24$aInformation Systems and Communication Service. 676 $a621.384 700 $aRawat$b Danda B$4aut$4http://id.loc.gov/vocabulary/relators/aut$0951011 702 $aSong$b Min$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aShetty$b Sachin$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299244503321 996 $aDynamic Spectrum Access for Wireless Networks$92514377 997 $aUNINA