000726000 000__ 03259cam\a2200505Ii\4500 000726000 001__ 726000 000726000 005__ 20230306140707.0 000726000 006__ m\\\\\o\\d\\\\\\\\ 000726000 007__ cr\cn\nnnunnun 000726000 008__ 150312s2015\\\\sz\a\\\\ob\\\\001\0\eng\d 000726000 019__ $$a908059324 000726000 020__ $$a9783319152998$$qelectronic book 000726000 020__ $$a3319152998$$qelectronic book 000726000 020__ $$z9783319152981 000726000 0247_ $$a10.1007/978-3-319-15299-8$$2doi 000726000 035__ $$aSP(OCoLC)ocn904755629 000726000 035__ $$aSP(OCoLC)904755629$$z(OCoLC)908059324 000726000 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dGW5XE$$dN$T$$dBTCTA$$dIDEBK$$dCDX$$dUPM$$dCOO$$dE7B$$dEBLCP$$dYDXCP$$dVLB 000726000 049__ $$aISEA 000726000 050_4 $$aTK5103.4815$$b.R38 2015eb 000726000 08204 $$a621.382/1$$223 000726000 1001_ $$aRawat, Danda B.,$$d1977-$$eauthor. 000726000 24510 $$aDynamic spectrum access for wireless networks$$h[electronic resource] /$$cDanda B. Rawat, Min Song, Sachin Shetty. 000726000 264_1 $$aCham :$$bSpringer,$$c2015. 000726000 300__ $$a1 online resource (xv, 69 pages) :$$bcolor illustrations. 000726000 336__ $$atext$$btxt$$2rdacontent 000726000 337__ $$acomputer$$bc$$2rdamedia 000726000 338__ $$aonline resource$$bcr$$2rdacarrier 000726000 4901_ $$aSpringerBriefs in electrical and computer engineering,$$x2191-8112 000726000 504__ $$aIncludes bibliographical references and index. 000726000 5050_ $$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. 000726000 506__ $$aAccess limited to authorized users. 000726000 520__ $$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. 000726000 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 18, 2015). 000726000 650_0 $$aCognitive radio networks. 000726000 650_0 $$aRadio frequency allocation. 000726000 650_0 $$aRadio resource management (Wireless communications) 000726000 7001_ $$aSong, Min,$$d1969-$$eauthor. 000726000 7001_ $$aShetty, Sachin,$$eauthor. 000726000 77608 $$iPrint version:$$z9783319152981 000726000 830_0 $$aSpringerBriefs in electrical and computer engineering. 000726000 852__ $$bebk 000726000 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-15299-8$$zOnline Access$$91397441.1 000726000 909CO $$ooai:library.usi.edu:726000$$pGLOBAL_SET 000726000 980__ $$aEBOOK 000726000 980__ $$aBIB 000726000 982__ $$aEbook 000726000 983__ $$aOnline 000726000 994__ $$a92$$bISE