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Multiobjective Signal Processing Optimization: The way to balance conflicting metrics in 5G systems
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
Dresden University of Technology, Germany.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-2298-6774
2014 (English)In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 31, no 6, 14-23 p.Article in journal (Refereed) Published
Abstract [en]

The evolution of cellular networks is driven by the dream of ubiquitous wireless connectivity: any data service is instantly accessible everywhere. With each generation of cellular networks, we have moved closer to this wireless dream; first by delivering wireless access to voice communications, then by providing wireless data services, and recently by delivering a Wi-Fi-like experience with wide-area coverage and user mobility management. The support for high data rates has been the main objective in recent years [1], as seen from the academic focus on sum-rate optimization and the efforts from standardization bodies to meet the peak rate requirements specified in IMT-Advanced. In contrast, a variety of metrics/objectives are put forward in the technological preparations for fifth-generation (5G) networks: higher peak rates, improved coverage with uniform user experience, higher reliability and lower latency, better energy efficiency (EE), lower-cost user devices and services, better scalability with number of devices, etc. These multiple objectives are coupled, often in a conflicting manner such that improvements in one objective lead to degradation in the other objectives. Hence, the design of future networks calls for new optimization tools that properly handle the existence of multiple objectives and tradeoffs between them.

Place, publisher, year, edition, pages
2014. Vol. 31, no 6, 14-23 p.
Keyword [en]
Multi objective, Processing optimizations
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-158451DOI: 10.1109/MSP.2014.2330661ISI: 000346043700006Scopus ID: 2-s2.0-84908224211OAI: oai:DiVA.org:kth-158451DiVA: diva2:777086
Funder
Swedish Research Council, 2012-228EU, European Research Council, 305123
Note

QC 20150108

Available from: 2015-01-08 Created: 2015-01-08 Last updated: 2017-12-05Bibliographically approved

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Ottersten, Björn

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