LEADER 01216nam 2200337Ia 450 001 996389439403316 005 20221108070151.0 035 $a(CKB)1000000000641755 035 $a(EEBO)2248593514 035 $a(OCoLC)12696655 035 $a(EXLCZ)991000000000641755 100 $a19851019d1692 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aSomething by way of testimony concerning Clement Lake of Crediton in Devonshire$b[electronic resource] $ewith something he wrote in his life time by way of answer unto John Flavell, independent preacher of Dartmouth 210 $aLondon $cPrinted and sold by T. Sowle ...$d1692 215 $a30 p 300 $aNumerous errors in pagination. 300 $aReproduction of original in the British Library. 330 $aeebo-0018 606 $aSociety of Friends$vApologetic works 615 0$aSociety of Friends 700 $aLake$b CLement$fd. 1689.$01019933 701 $aFlavel$b John$f1630?-1691.$0838516 801 0$bEAH 801 1$bEAH 801 2$bWaOLN 906 $aBOOK 912 $a996389439403316 996 $aSomething by way of testimony concerning Clement Lake of Crediton in Devonshire$92408005 997 $aUNISA LEADER 05646nam 22007935 450 001 9910416084203321 005 20200826141213.0 010 $a981-15-6938-X 024 7 $a10.1007/978-981-15-6938-8 035 $a(CKB)4100000011401164 035 $a(MiAaPQ)EBC6320889 035 $a(DE-He213)978-981-15-6938-8 035 $a(PPN)250213680 035 $a(EXLCZ)994100000011401164 100 $a20200826d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEfficient Integration of 5G and Beyond Heterogeneous Networks$b[electronic resource] /$fby Zi-Yang Wu, Muhammad Ismail, Justin Kong, Erchin Serpedin, Jiao Wang 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (130 pages) $cillustrations 300 $aIncludes index. 311 $a981-15-6937-1 327 $aChapter 1. Introduction -- Chapter 2. Efficient Joint Planning of HetNets -- Chapter 3. Realization of Mobile Indoor Channels -- Chapter 4. Data-driven Handover Algorithm in Mobile HetNets -- Chapter 5. Data-driven Multi-homing Resource Allocation in Mobile HetNets -- Chapter 6. Conclusions. 330 $aThis book discusses the smooth integration of optical and RF networks in 5G and beyond (5G+) heterogeneous networks (HetNets), covering both planning and operational aspects. The integration of high-frequency air interfaces into 5G+ wireless networks can relieve the congested radio frequency (RF) bands. Visible light communication (VLC) is now emerging as a promising candidate for future generations of HetNets. Heterogeneous RF-optical networks combine the high throughput of visible light and the high reliability of RF. However, when implementing these HetNets in mobile scenarios, several challenges arise from both planning and operational perspectives. Since the mmWave, terahertz, and visible light bands share similar wave propagation characteristics, the concepts presented here can be broadly applied in all such bands. To facilitate the planning of RF-optical HetNets, the authors present an algorithm that specifies the joint optimal densities of the base stations by drawing on stochastic geometry in order to satisfy the users? quality-of-service (QoS) demands with minimum network power consumption. From an operational perspective, the book explores vertical handovers and multi-homing using a cooperative framework. For vertical handovers, it employs a data-driven approach based on deep neural networks to predict abrupt optical outages; and, on the basis of this prediction, proposes a reinforcement learning strategy that ensures minimal network latency during handovers. In terms of multi-homing support, the authors examine the aggregation of the resources from both optical and RF networks, adopting a two-timescale multi-agent reinforcement learning strategy for optimal power allocation. Presenting comprehensive planning and operational strategies, the book allows readers to gain an in-depth grasp of how to integrate future coexisting networks at high-frequency bands in a cooperative manner, yielding reliable and high-speed 5G+ HetNets. 606 $aComputer organization 606 $aElectrical engineering 606 $aWireless communication systems 606 $aMobile communication systems 606 $aMachine learning 606 $aKnowledge representation (Information theory)  606 $aSociophysics 606 $aEconophysics 606 $aComputer Systems Organization and Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13006 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aWireless and Mobile Communication$3https://scigraph.springernature.com/ontologies/product-market-codes/T24100 606 $aMachine Learning$3https://scigraph.springernature.com/ontologies/product-market-codes/I21010 606 $aKnowledge based Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I21030 606 $aData-driven Science, Modeling and Theory Building$3https://scigraph.springernature.com/ontologies/product-market-codes/P33030 615 0$aComputer organization. 615 0$aElectrical engineering. 615 0$aWireless communication systems. 615 0$aMobile communication systems. 615 0$aMachine learning. 615 0$aKnowledge representation (Information theory) . 615 0$aSociophysics. 615 0$aEconophysics. 615 14$aComputer Systems Organization and Communication Networks. 615 24$aCommunications Engineering, Networks. 615 24$aWireless and Mobile Communication. 615 24$aMachine Learning. 615 24$aKnowledge based Systems. 615 24$aData-driven Science, Modeling and Theory Building. 676 $a004.22 700 $aWu$b Zi-Yang$4aut$4http://id.loc.gov/vocabulary/relators/aut$0867019 702 $aIsmail$b Muhammad$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKong$b Justin$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aSerpedin$b Erchin$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aWang$b Jiao$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910416084203321 996 $aEfficient Integration of 5G and Beyond Heterogeneous Networks$91935207 997 $aUNINA