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020 _a9783319642680
_9978-3-319-64268-0
024 7 _a10.1007/978-3-319-64268-0
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
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082 0 4 _a621.382
_223
100 1 _aGamage, Amila Tharaperiya.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_960168
245 1 0 _aResource Management for Heterogeneous Wireless Networks
_h[electronic resource] /
_cby Amila Tharaperiya Gamage, Xuemin (Sherman) Shen.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXVII, 101 p. 29 illus., 11 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8120
505 0 _aList of Abbreviations -- List of Symbols -- 1 Introduction -- 2 Heterogeneous Wireless Networks -- 3 Resource Allocation for Cellular/WLAN Interworking -- 4 Resource Allocation for D2D Communication Underlaying Cellular/WLAN Interworking -- 5 Resource Allocation for Interworking Macro Cell and Hyper-Dense Small Cell Networks -- 6 Conclusions and Future Directions -- Appendices -- References.
520 _aThis book provides an in-depth discussion on how to efficiently manage resources of heterogeneous wireless networks and how to design resource allocation algorithms to suit real world conditions. Efficiently managing resources of the networks is more crucial now, than ever before, to meet users’ rapidly increasing demand for higher data rates, better quality-of-service (QoS) and seamless coverage. Some of the techniques that can be incorporated within heterogeneous wireless networks to achieve this objective are interworking of the networks, user multi-homing and device-to-device (D2D) communication.  Designing resource allocation algorithms to suit real world conditions is also important, as the algorithms should be deployable and perform well in real networks. For example, two of the conditions considered in this book are resource allocation intervals of different networks are different and small cell base stations have limited computational capacity. To address the first condition, resource allocation algorithms for interworking systems are designed to allocate resources of different networks at different time-scales. To address the second condition, resource allocation algorithms are designed to be able to run at cloud computing servers. More of such conditions, algorithms designed to suit these conditions, modeling techniques for various networks and performance analysis of the algorithms are discussed in the book.   This book concludes with a discussion on the future research directions on the related fields of study. Advanced-level students focused on communication and networking will use this book as a study guide. Researchers and experts in the fields of networking, converged networks, small-cell networks, resource management, and interference management, as well as consultants working in network planning and optimization and managers, executives and network architects working in the networking industry will also find this book useful as a reference.
650 0 _aTelecommunication.
_910437
650 0 _aComputer networks .
_931572
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aComputer Communication Networks.
_960169
700 1 _aShen, Xuemin (Sherman).
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_960170
710 2 _aSpringerLink (Online service)
_960171
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319642673
776 0 8 _iPrinted edition:
_z9783319642697
830 0 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8120
_960172
856 4 0 _uhttps://doi.org/10.1007/978-3-319-64268-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80491
_d80491