LEADER 05066nam 22008055 450 001 9910863108503321 005 20251113192021.0 010 $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(MiAaPQ)EBC6320721 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 /$fby Zi-Yang Wu, Muhammad Ismail, Justin Kong, Erchin Serpedin, Jiao Wang 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (130 pages) $cillustrations 300 $aIncludes index. 311 08$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 engineering 606 $aComputer networks 606 $aTelecommunication 606 $aWireless communication systems 606 $aMobile communication systems 606 $aMachine learning 606 $aExpert systems (Computer science) 606 $aSystem theory 606 $aComputer Engineering and Networks 606 $aCommunications Engineering, Networks 606 $aWireless and Mobile Communication 606 $aMachine Learning 606 $aKnowledge Based Systems 606 $aComplex Systems 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aTelecommunication. 615 0$aWireless communication systems. 615 0$aMobile communication systems. 615 0$aMachine learning. 615 0$aExpert systems (Computer science) 615 0$aSystem theory. 615 14$aComputer Engineering and Networks. 615 24$aCommunications Engineering, Networks. 615 24$aWireless and Mobile Communication. 615 24$aMachine Learning. 615 24$aKnowledge Based Systems. 615 24$aComplex Systems. 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 $a9910863108503321 996 $aEfficient Integration of 5G and Beyond Heterogeneous Networks$91935207 997 $aUNINA