LEADER 04023nam 22005775 450 001 9910299891603321 005 20200706080144.0 010 $a3-319-68312-8 024 7 $a10.1007/978-3-319-68312-6 035 $a(CKB)4100000001381475 035 $a(DE-He213)978-3-319-68312-6 035 $a(MiAaPQ)EBC5210944 035 $z(PPN)258862262 035 $a(PPN)222228911 035 $a(EXLCZ)994100000001381475 100 $a20171229d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aResource Allocation in Unlicensed Long Term Evolution HetNets /$fby Huaqing Zhang, Sami Khairy, Lin X. Cai, Zhu Han 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (V, 115 p. 47 illus., 31 illus. in color.) 225 1 $aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 311 $a3-319-68311-X 320 $aIncludes bibliographical references at the end of each chapters. 327 $a1 Introduction -- 2 Radio access management of Unlicensed LTE -- 3 Game theory based spectrum sharing -- 4 Spectrum Matching in Unlicensed Band with User Mobility -- 5 Traffic offloading from licensed band to unlicensed band -- 5 Conclusions and Future Works. 330 $aThis SpringerBrief  investigates cross layer resource allocation in unlicensed LTE (Long Term Evolution)  HetNets. Specifically, the authors study and cover the radio access management of unlicensed LTE to allow efficient spectrum utilization and harmonious coexistence with other unlicensed systems in this brief. Efficient radio access protocols are developed to allow unlicensed LTE users to fair share channel access with unlicensed users in different systems, including Wi-Fi and unlicensed LTE of other operators. An analytical model is developed to study the performance of the proposed protocols.  To achieve efficient spectrum sharing among various unlicensed users, the authors further formulate a resource allocation problem based on Nobel Prize winning game theory framework, and propose efficient algorithms to achieve the maximal user utility. Opportunistic traffic offloading from licensed band to unlicensed bands is also investigated, based on the network formation game. By exploiting the characteristics of mobile social networks, the offloading performance can be further enhanced.  This brief targets researchers and engineers from both academia and industry interested in the development of LTE over unlicensed bands, as well as the design and implementation of cross layer radio resource management. Students studying electrical engineering and computer science will also find this brief useful for their studies. 410 0$aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 606 $aElectrical engineering 606 $aComputer communication systems 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$aComputer communication systems. 615 14$aCommunications Engineering, Networks. 615 24$aComputer Communication Networks. 676 $a384.54524 700 $aZhang$b Huaqing$4aut$4http://id.loc.gov/vocabulary/relators/aut$01058647 702 $aKhairy$b Sami$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aCai$b Lin X$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aHan$b Zhu$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299891603321 996 $aResource Allocation in Unlicensed Long Term Evolution HetNets$92501309 997 $aUNINA