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008 170212s2015 gw | s |||| 0|eng d
020 _a9783319168838
_9978-3-319-16883-8
024 7 _a10.1007/978-3-319-16883-8
_2doi
035 _ato000559407
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM075000
_2bisacsh
082 0 4 _a004.6
_223
100 1 _aLei, Lei.
_eauthor.
_9465776
245 1 0 _aStochastic Petri Nets for Wireless Networks
_helectronic resource
_cby Lei Lei, Chuang Lin, Zhangdui Zhong.
260 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXIV, 101 p. 26 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8112
505 0 _aIntroduction -- Stochastic Petri Nets -- Performance Analysis of Opportunistic Schedulers using SPNs -- Performance Analysis of Device-to-Device Communications with Dynamics Interference using SPNs -- Packet Level Wireless Channel Model for OFDM System using SHLPNs -- Conclusions and Outlook.
520 _aThis SpringerBrief presents research in the application of Stochastic Petri Nets (SPN) to the performance evaluation of wireless networks under bursty traffic. It covers typical Quality-of-Service performance metrics such as mean throughput, average delay and packet dropping probability. Along with an introduction of SPN basics, the authors introduce the key motivation and challenges of using SPN to analyze the resource sharing performance in wireless networks. The authors explain two powerful modeling techniques that treat the well-known state space explosion problem: model decomposition and iteration, and model aggregation using stochastic high-level petri nets. The first technique assists in performance analysis of opportunistic scheduling, Device-to-Device communications with full frequency reuse and partial frequency reuse. The second technique is used to formulate a wireless channel mode for cross-layer performance analysis in OFDM system. Stochastic Petri Nets for Wireless Networks reveals useful insights for the design of radio resource management algorithms and a new line of thinking for the performance evaluation of future wireless networks. This material is valuable as a reference for researchers and professionals working in wireless networks and for advanced-level students studying wireless technologies in electrical engineering or computer science.
650 0 _aComputer Science.
_9155490
650 0 _aComputer communication systems.
_9460401
650 0 _acomputers.
_9460101
650 0 _aelectrical engineering.
_9312089
650 1 4 _aComputer Science.
_9155490
650 2 4 _aComputer Communication Networks.
_9566243
650 2 4 _aCommunications Engineering, Networks.
_9566275
650 2 4 _aInformation Systems and Communication Service.
_9304271
700 1 _aLin, Chuang.
_eauthor.
_9465777
700 1 _aZhong, Zhangdui.
_eauthor.
_9465778
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aSpringerBriefs in Electrical and Computer Engineering,
_9410832
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-16883-8
912 _aZDB-2-SCS
999 _c414123