Приказ основних података о дисертацији

dc.contributor.advisorKansanen, Kimmo
dc.contributor.otherChatzigeorgiou, Ioannis
dc.contributor.otherPetersen, Stig
dc.contributor.otherMilović, Daniela
dc.contributor.otherČiča, Zoran
dc.creatorZdravković, Nemanja M.
dc.date.accessioned2018-12-20T08:37:04Z
dc.date.available2018-12-20T08:37:04Z
dc.date.available2020-07-03T16:02:57Z
dc.date.issued2017-06-26
dc.identifier.urihttps://nardus.mpn.gov.rs/handle/123456789/10412
dc.identifier.urihttp://eteze.ni.ac.rs/application/showtheses?thesesId=6323
dc.identifier.urihttps://fedorani.ni.ac.rs/fedora/get/o:1513/bdef:Content/download
dc.identifier.urihttp://vbs.rs/scripts/cobiss?command=DISPLAY&base=70052&RID=534012566
dc.description.abstractIndustrial wireless networks operate in harsher and noisier environments compared to traditional wireless networks, while demanding high reliability and low latency. These requirements, combined with the constant need for better coverage, higher data rates and overall seamless user experience call for a paradigm shift in communication in regards to the previous generations of technologies used. Cooperative diversity is one such approach. The main focus of this thesis is on the performance analysis of cooperative wireless networks set in industrial environments – where the network, apart from additive white Gaussian noise, is subject to multipath fading and shadowing, and/or temporary random blockage effects. In these scenarios, in order to achieve specific performance metrics such as error rates or outage probabilities, existing cooperative strategies are aided by protocols in the channel between the cooperating nodes. Moreover, pair-wise analysis investigates the correlation of multiple data flows. Building upon existing repetition protocols, outage performance of a network subject to fading and shadowing is observed, and the effects of fading and shadowing severity, network dimension, average signal-to-noise ratio values and packet length are discussed. Special cases are also observed, in which the composite fading channel is reduced to several familiar propagation environments, unifying the analysis. Afterwards, the analysis of more complex protocols is presented, taking into account random blockage in the channels between cooperating nodes. A novel, threshold-based internode protocol is introduced, which improves performance by listening to the transmissions and choosing whether to send a packet immediately or after a waiting period. As these two periods are close, the effect of temporal correlation is also investigated. Apart from the exact outage probability expressions, simpler asymptotic expressions, with and without blockage, are derived as well, giving a better insight on the network behaviour at high average signal-to-noise ratio regimes. Both outage probability and packet error rate can be also improved by adding automatic repeat request schemes in the channel between cooperating nodes, which again utilize the internode channels by re-sending data until it can be successfully decoded. Error-free communication can be achieved, but at a delay cost. Nevertheless, a trade-off between performance gains and delays remains, and can therefore be used for designing wireless networks with different requirements – error-free or low-latency. Finally, joint outage performance is investigated. Using a generic approach, which can be applied to any sort of data where multiple sources are communicating over wireless networks, pair-wise behaviour is investigated. As a result, any multi-route diversity type of scheme will have this sort of behaviour, since particular point-to-point relay links are being shared by source nodes. This in turn means that the performance of those flows will be correlated. For higher layers, there is a difference in the behaviour, meaning that when errors are correlated, data flows start behaving correlated as well. As a result, negative acknowledgements may start to correlate as well. All of this contributes to the network behaving in a correlated way, i.e., when something happens, it tends to happen to more than one data flow.en
dc.formatapplication/pdf
dc.languageen
dc.publisherУниверзитет у Нишу, Електронски факултетsr
dc.rightsopenAccessen
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/
dc.sourceУниверзитет у Нишуsr
dc.subjectcooperative communicationssr
dc.subjectbežične mrežeen
dc.subjectdecode-and-forward relayingsr
dc.subjecterror rate analysissr
dc.subjectfading channelssr
dc.subjectoutage probabilitysr
dc.subjectshadowingsr
dc.subjectwireless networkssr
dc.subjectkooperativne mrežeen
dc.subjectdecode-and-forward rejelni sistemien
dc.subjectefekti senkeen
dc.subjectkanali za fedingomen
dc.subjectverovatnoća greškeen
dc.subjectverovatnoća prekidaen
dc.titlePerformance analysis for industrial wireless networkssr
dc.typedoctoralThesisen
dc.rights.licenseBY-SA
dc.identifier.fulltexthttp://nardus.mpn.gov.rs/bitstream/id/52393/Disertacija.pdf
dc.identifier.fulltexthttps://nardus.mpn.gov.rs/bitstream/id/52393/Disertacija.pdf
dc.identifier.fulltexthttps://nardus.mpn.gov.rs/bitstream/id/52394/Zdravkovic_Nemanja.pdf
dc.identifier.fulltexthttp://nardus.mpn.gov.rs/bitstream/id/52394/Zdravkovic_Nemanja.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_nardus_10412


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Приказ основних података о дисертацији