Energy Efficiency of Wireless Access - Impact of Power Amplifiers and Load Variations

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Koufus, Konstantinos, Dr., University of Bristol, England
dc.contributor.author Hossain, M. M. Aftab
dc.date.accessioned 2016-06-20T09:01:16Z
dc.date.available 2016-06-20T09:01:16Z
dc.date.issued 2016
dc.identifier.isbn 978-952-60-6864-0 (electronic)
dc.identifier.isbn 978-952-60-6863-3 (printed)
dc.identifier.issn 1799-4942 (electronic)
dc.identifier.issn 1799-4934 (printed)
dc.identifier.issn 1799-4934 (ISSN-L)
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/21072
dc.description.abstract In order to ensure seamless coverage and sustainable exponential growth of capacity, there is a keen interest in the development and deployment of highly energy efficient wireless systems and solutions. To design an energy efficient network, it is important to consider the facts that the variations in traffic demand in both temporal and spatial domains are significant, and the power consumption of cellular networks is mostly dominated by macro base stations where the power amplifiers (PAs) consume around 55-70 percent of total energy. One of the main challenges lies in coping with this load variations considering that the PAs attain high efficiency only at around the maximum output power level. In this thesis, we propose energy efficient system level solutions for wireless access network that consider the non-ideal efficiency characteristics of the PA and the load variations.  We model and incorporate the PA efficiency in the energy-delay trade-off present in Shannon's channel capacity model in order to investigate the energy saving potential in a wireless access network at the cost of additional flow-level delay. We propose a best response iteration based distributed power control algorithm where the cells identify the power levels for different user locations to minimize energy consumption under delay constraints. We observe that energy saving potential strongly depends on the network load and PA efficiency characteristics. We also investigate the impact of additional delay in the downlink on the energy consumption of the mobile terminal.  Heterogeneous network is the leading technology for the next-generation cellular networks. We investigate the energy-efficient densification and load sharing between the layers of a heterogeneous network while taking into consideration the PA efficiency and temporal load variations (TLV). We also study the impact of PA efficiency and energy-delay trade-off on the energy efficient network densification.  Massive MIMO (MM) is another leading candidate technology to cater for very high capacity demand. We consider a multi-cell MM system and provide the guidelines to dimension the PA for the antennas. We also develop energy efficient antenna adaptation schemes that allow the cells to dynamically adapt the number of antennas to the TLV in order to maintain high energy efficiency (EE) throughout the day. Our results indicate that these proposed antenna adaptation schemes can improve the EE significantly. en
dc.format.extent 83 + app. 64
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Aalto University en
dc.publisher Aalto-yliopisto fi
dc.relation.ispartofseries Aalto University publication series DOCTORAL DISSERTATIONS en
dc.relation.ispartofseries 117/2016
dc.relation.haspart [Publication 1]: Hossain M. M. A. and Jäntti R. Impact of efficient power amplifiers in wireless access. In IEEE Online Conference on Green Communications (GreenCom), New York, pp. 36 - 40, Sep 2011. DOI: 10.1109/GreenCom.2011.6082504
dc.relation.haspart [Publication 2]: Hossain M. M. A., Koufos K. and Jäntti R. Minimum-energy power and rate control for fair scheduling in the cellular downlink under flow level delay constraint. IEEE Transactions on Wireless Communications, vol. 12, no. 7, pp. 3253 - 3263, Jul 2013. DOI: 10.1109/TWC.2013.062413.120686
dc.relation.haspart [Publication 3]: Hossain M. M. A., Koufos K. and Jäntti R. How much energy can be saved by energy-delay tradeoff in Radio access network?. In IEEE Online Conference on Green Communications (GreenCom), Piscataway, NJ, pp. 121 - 126, Oct 2013. DOI: 10.1109/OnlineGreenCom.2013.6731039
dc.relation.haspart [Publication 4]: Hossain M. M. A., Koufos K. and Jäntti R. Energy efficient deployment of Het- Nets: Impact of power amplifier and delay. In IEEE Wireless Communications and Networking Conference (WCNC), Shanghai, pp. 778 - 782, Apr 2013. DOI: 10.1109/WCNC.2013.6554662
dc.relation.haspart [Publication 5]: Hossain M. M. A., Cavdar C. and Jäntti R. Dimensioning of PA for massive MIMO system with load adaptive number of antennas. In IEEE Globecom Workshops, Austin, TX, pp. 1102 - 1108, Dec 2014. DOI: 10.1109/GLOCOMW.2014.7063580
dc.relation.haspart [Publication 6]: Hossain M. M. A., Cavdar C., Björnson E. and Jäntti R. Energy-efficint loadadaptive massive MIMO. In IEEE Globecom Workshops, SanDiego, CA pp. 1 - 6, Dec 2015. DOI: 10.1109/GLOCOMW.2015.7414181
dc.relation.haspart [Publication 7]: Hossain M. M. A., Cavdar C., Björnson E. and Jäntti R. Energy saving game for Massive MIMO: Coping with daily load variations. Submitted to IEEE Transactions on Vehicular Technology, May 2016.
dc.subject.other Energy en
dc.subject.other Telecommunications engineering en
dc.title Energy Efficiency of Wireless Access - Impact of Power Amplifiers and Load Variations en
dc.type G5 Artikkeliväitöskirja fi
dc.contributor.school Sähkötekniikan korkeakoulu fi
dc.contributor.school School of Electrical Engineering en
dc.contributor.department Tietoliikenne- ja tietoverkkotekniikan laitos fi
dc.contributor.department Department of Communications and Networking en
dc.subject.keyword energy efficiency en
dc.subject.keyword power amplifier efficiency en
dc.subject.keyword energy-delay trade-off en
dc.subject.keyword load variations en
dc.subject.keyword heterogeneous network en
dc.subject.keyword massive MIMO en
dc.identifier.urn URN:ISBN:978-952-60-6864-0
dc.type.dcmitype text en
dc.type.ontasot Doctoral dissertation (article-based) en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.contributor.supervisor Jäntti, Riku, Prof., Aalto University, Department of Communications and Networking, Finland
dc.opn Lempiäinen, Jukka, Prof., University of Tampere, Finland
dc.rev Bennis, Mehdi, Adjunct Prof., University of Oulu, Finland
dc.rev Héliot, Fabien, Lecturer, University of Surrey, England
dc.date.defence 2016-06-22


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