000726503 000__ 03464cam\a2200481Ii\4500 000726503 001__ 726503 000726503 005__ 20230306140824.0 000726503 006__ m\\\\\o\\d\\\\\\\\ 000726503 007__ cr\cn\nnnunnun 000726503 008__ 150410s2015\\\\sz\a\\\\ob\\\\000\0\eng\d 000726503 020__ $$a9783319168838$$qelectronic book 000726503 020__ $$a3319168835$$qelectronic book 000726503 020__ $$z9783319168821 000726503 0247_ $$a10.1007/978-3-319-16883-8$$2doi 000726503 035__ $$aSP(OCoLC)ocn907066874 000726503 035__ $$aSP(OCoLC)907066874 000726503 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dGW5XE$$dE7B$$dYDXCP$$dIDEBK$$dCDX$$dCOO$$dUPM$$dEBLCP$$dVLB 000726503 049__ $$aISEA 000726503 050_4 $$aQA267$$b.L45 2015eb 000726503 08204 $$a511.35$$223 000726503 1001_ $$aLei, Lei,$$eauthor. 000726503 24510 $$aStochastic petri nets for wireless networks$$h[electronic resource] /$$cLei Lei, Chuang Lin, Zhangdui Zhong. 000726503 264_1 $$aCham :$$bSpringer,$$c[2015] 000726503 300__ $$a1 online resource :$$bcolor illustrations. 000726503 336__ $$atext$$btxt$$2rdacontent 000726503 337__ $$acomputer$$bc$$2rdamedia 000726503 338__ $$aonline resource$$bcr$$2rdacarrier 000726503 4901_ $$aSpringer briefs in electrical and computer engineering,$$x2191-8120 000726503 504__ $$aIncludes bibliographical references. 000726503 5050_ $$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. 000726503 506__ $$aAccess limited to authorized users. 000726503 520__ $$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. 000726503 588__ $$aOnline resource; title from PDF title page (viewed April 13, 2015). 000726503 650_0 $$aStochastic Petri nets. 000726503 650_0 $$aQuality of service (Computer networks) 000726503 7001_ $$aLin, Chuang,$$eauthor. 000726503 7001_ $$aZhong, Zhangdui,$$eauthor. 000726503 77608 $$iPrint version:$$z9783319168821 000726503 830_0 $$aSpringerBriefs in electrical and computer engineering. 000726503 852__ $$bebk 000726503 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-16883-8$$zOnline Access$$91397441.1 000726503 909CO $$ooai:library.usi.edu:726503$$pGLOBAL_SET 000726503 980__ $$aEBOOK 000726503 980__ $$aBIB 000726503 982__ $$aEbook 000726503 983__ $$aOnline 000726503 994__ $$a92$$bISE