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Performance analysis of vectored wireline systems embracing channel uncertainty
Lund University, Lund, Sweden. (Department of Electrical and Information Technology)
FTW Forschungszentrum Telekommunikation Wien GmbH, Vienna, Austria.
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Centrum för forskning om inbyggda system (CERES).ORCID-id: 0000-0002-0562-2082
Vienna University of Technology, Vienna, Austria.
2013 (engelsk)Inngår i: 2013 IEEE International Conference on Communications (ICC): Bridging the Broadband Divide / [ed] Dong-In Kim and Peter Mueller, Piscataway, NJ: Institute of Electrical and Electronics Engineers , 2013, s. 3986-3990Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Future wireline communication systems aspire to boost the throughput in two ways: First, they exploit higher frequencies to gain more bandwidth on shorter lines in combination with vectoring. Second, they use non-differential transmission modes (such as phantom modes, common modes, split-pair modes) to exploit more dimensions. Performance predictions for systems exploiting these techniques are of great importance for upgrading copper networks to provide Internet access or deploying copper-based backhaul systems to connect mobile base-stations. Good predictions require accurate channel models. However, channel modeling for higher frequencies and nondifferential modes is still in its infancy. A mixed deterministic/stochastic channel model is proposed to remedy this problem. The outage rate is derived based on an asymptotic (in the number of participating transceivers) analysis. As application examples, performance predictions in access networks using phantom modes and frequencies up to 200 MHz are presented.

sted, utgiver, år, opplag, sider
Piscataway, NJ: Institute of Electrical and Electronics Engineers , 2013. s. 3986-3990
Serie
IEEE International Conference on Communications, ISSN 1550-3607
Emneord [en]
mobile radio, probability, telecommunication channels
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-24151DOI: 10.1109/ICC.2013.6655182ISI: 000349673803126Scopus ID: 2-s2.0-84891358001ISBN: 978-1-4673-3122-7 (tryckt)OAI: oai:DiVA.org:hh-24151DiVA, id: diva2:677968
Konferanse
2013 IEEE International Conference on Communications (ICC), 9-13 June, Budapest, Hungary
Tilgjengelig fra: 2013-12-10 Laget: 2013-12-10 Sist oppdatert: 2017-04-11bibliografisk kontrollert

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