000			03481nam a22005175i 4500
001			978-3-319-16883-8
003			DE-He213
005			20200421112548.0
007			cr nn 008mamaa
008			150408s2015 gw | s |||| 0|eng d
020			_a9783319168838 _9978-3-319-16883-8
024	7		_a10.1007/978-3-319-16883-8 _2doi
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.
245	1	0	_aStochastic Petri Nets for Wireless Networks _h[electronic resource] / _cby Lei Lei, Chuang Lin, Zhangdui Zhong.
264		1	_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
347			_atext file _bPDF _2rda
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.
650		0	_aComputer communication systems.
650		0	_aComputers.
650		0	_aElectrical engineering.
650	1	4	_aComputer Science.
650	2	4	_aComputer Communication Networks.
650	2	4	_aCommunications Engineering, Networks.
650	2	4	_aInformation Systems and Communication Service.
700	1		_aLin, Chuang. _eauthor.
700	1		_aZhong, Zhangdui. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319168821
830		0	_aSpringerBriefs in Electrical and Computer Engineering, _x2191-8112
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-16883-8
912			_aZDB-2-SCS
942			_cEBK
999			_c58723 _d58723