04275nam 22006975 450 991029925010332120250609110108.03-319-16883-510.1007/978-3-319-16883-8(CKB)3710000000394686(EBL)2095431(SSID)ssj0001501034(PQKBManifestationID)11967995(PQKBTitleCode)TC0001501034(PQKBWorkID)11524111(PQKB)10616332(DE-He213)978-3-319-16883-8(MiAaPQ)EBC2095431(PPN)185486886(MiAaPQ)EBC3109323(EXLCZ)99371000000039468620150408d2015 u| 0engur|n|---|||||txtccrStochastic Petri Nets for Wireless Networks /by Lei Lei, Chuang Lin, Zhangdui Zhong1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (113 p.)SpringerBriefs in Electrical and Computer Engineering,2191-8112Description based upon print version of record.3-319-16882-7 Includes bibliographical references.Introduction -- 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.This 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.SpringerBriefs in Electrical and Computer Engineering,2191-8112Computer networksElectrical engineeringComputersComputer Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13022Communications Engineering, Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/T24035Information Systems and Communication Servicehttps://scigraph.springernature.com/ontologies/product-market-codes/I18008Computer networks.Electrical engineering.Computers.Computer Communication Networks.Communications Engineering, Networks.Information Systems and Communication Service.004004.6005.7621.382Lei Leiauthttp://id.loc.gov/vocabulary/relators/aut1061726Lin Chuangauthttp://id.loc.gov/vocabulary/relators/autZhong Zhangduiauthttp://id.loc.gov/vocabulary/relators/autBOOK9910299250103321Stochastic Petri Nets for Wireless Networks2519886UNINA