Algorithms, Protocols and Cloud-RAN Implementation Aspects of 5G Networks

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Ruttik, Kalle, Dr., Aalto University, Department of Communications and Networking, Finland Beyene, Yihenew Dagne 2018-04-12T09:02:51Z 2018-04-12T09:02:51Z 2018
dc.identifier.isbn 978-952-60-7912-7 (electronic)
dc.identifier.isbn 978-952-60-7911-0 (printed)
dc.identifier.issn 1799-4942 (electronic)
dc.identifier.issn 1799-4934 (printed)
dc.identifier.issn 1799-4934 (ISSN-L)
dc.description.abstract The future fifth generation (5G) mobile networks will support a number of use cases such as extreme Mobile BroadBand (eMBB), Ultra Reliable and Low Latency Communication (URLLC) and Machine Type Communications (MTC) with massive number of connected devices. The thesis studies implementation constraints of 5G requirements and proposes practical physical layer algorithms together with protocol and architectural designs that could support the 5G use cases.  Network densification and centralized/co-ordinated processing are important elements that enable reliable and high-speed Internet access. Towards this end, Distributed Antenna Systems (DAS) and Massive MIMO with centralized processing will be used to serve high data rate applications and provide uniform coverage. Massive MIMO offers huge capacity gain by exploiting spatial diversity of the radio environment and minimizing interference among users. The main limiting factor is channel estimation error due to pilot-contamination which requires novel but practically realizable algorithms. MTC is characterized by huge number of low-data-rate users per cell. In many cases, MTC applications require transmission of only small number of packets per day. The classical cellular technologies are built on complex signaling protocols which can cause excessive overhead to MTC traffic. Another major concern in current cellular networks is deployment and maintenance costs which come from growing number of radio access technologies and deployment scenarios. This calls for a new architecture that enables flexible and low-cost deployments of various use cases.  The thesis tackles these problems both from theoretical and from practical implementation perspectives. First, multi-user access schemes for efficient use the radio resources are proposed and evaluated through analytical tools and simulations. The proposed techniques include signal processing techniques for DAS systems, and efficient but less complex data-aided channel estimation algorithm to combat pilot-contamination in Massive MIMO systems. Moreover, a new MAC protocols for MTC is proposed. The protocol significantly reduces the overhead and is able to support large number of simultaneous transmissions. Finally, the thesis addresses practical implementation aspects of 5G systems in a Cloud RAN infrastructure that allows coordinated/centralized processing of data across multiple cells. Virtualization of baseband processing also offers deployment flexibility and low maintenance cost. en
dc.format.extent 91 + app. 77
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 54/2018
dc.relation.haspart [Publication 1]: Yihenew Beyene, Kalle Ruttik and Riku Jäntti. Angular Domain Data-Assisted Channel Estimation for Pilot Decontamination in Massive MIMO. Mobile Information Systems, vol. 2017, Article ID 2785948, 9 pages, January 2017. DOI: 10.1155/2017/2785948
dc.relation.haspart [Publication 2]: Y. Beyene, S. Iraji, R. Jäntti and K. Ruttik. Transmission strategies in DL of multi-user multi-cell distributed antenna systems. In AFRICON, Addis Ababa, pp. 1-5, September 2015. DOI: 10.1109/AFRCON.2015.7331953
dc.relation.haspart [Publication 3]: Y. Beyene, C. Boyd, K. Ruttik, C. Bockelmann, O. Tirkkonen and R. Jäntti. Compressive sensing for MTC in new LTE UL multi-user random access channel. In AFRICON, Addis Ababa, pp. 1-5, September 2015. DOI: 10.1109/AFRCON.2015.7331960
dc.relation.haspart [Publication 4]: Y. Beyene, N. Malm, J. Kerttula, L. Zhou, K. Ruttik, R. Jäntti, O. Tirkkonen, and C. Bockelmann. Spectrum sharing for MTC devices in LTE. In IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), Stockholm, pp. 269-270, October 2015. DOI: 10.1109/DySPAN.2015.7343912
dc.relation.haspart [Publication 5]: Yihenew Beyene, Kalle Ruttik and Riku Jäntti. Random Access Scheme for Sporadic Users in 5G. IEEE Transactions on Wireless Communications, January 2017. DOI: 10.1109/TWC.2017.2655044
dc.relation.haspart [Publication 6]: Y. D. Beyene, R. Jäntti, K. Ruttik and S. Iraji. On the Performance of Narrow-Band Internet of Things (NB-IoT). In IEEE Wireless Communications and Networking Conference, San Francisco, CA, March 2017. DOI: 10.1109/WCNC.2017.7925809
dc.relation.haspart [Publication 7]: Y. D. Beyene, R. Jäntti and K. Ruttik. Cloud-RAN Architecture for Indoor DAS. IEEE ACCESS, vol. 2, pp. 1205-1212, October 2014. DOI: 10.1109/ACCESS.2014.2361259
dc.relation.haspart [Publication 8]: Y. D. Beyene, R. Jäntti, O. Tirkkonen, K. Ruttik, S. Iraji, A. Larmo, T. Tirronen and J. Torsner. NB-IoT Technology Overview and Experience from Cloud-RAN Implementation. IEEE Wireless Communications Magazine, 24, June 2017. DOI: 10.1109/MWC.2017.1600418
dc.relation.haspart [Errata file]: Errata of publication 7
dc.subject.other Telecommunications engineering en
dc.title Algorithms, Protocols and Cloud-RAN Implementation Aspects of 5G Networks en
dc.type G5 Artikkeliväitöskirja fi Sähkötekniikan korkeakoulu fi 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 5G en
dc.subject.keyword Cloud-RAN en
dc.subject.keyword Massive MIMO en
dc.subject.keyword DAS en
dc.subject.keyword MTC en
dc.subject.keyword NB-IoT en
dc.subject.keyword Software Defined Radio en
dc.subject.keyword Channel Estimation en
dc.identifier.urn URN:ISBN:978-952-60-7912-7
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 Kim, Dong Ku, Prof. Dr., Yonsei University, South Korea
dc.rev Björkqvist, Jerker, Associate Prof., Åbo Academi, Finland
dc.rev Nikaein, Navid, Assistant Prof., EURECOM, France 2018-04-20
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