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Pursuing the Potential of New Mechanisms for Performance Engineering of 5G
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-4416-7702
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
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2017 (English)In: 2017 IEEE 22ND INTERNATIONAL WORKSHOP ON COMPUTER AIDED MODELING AND DESIGN OF COMMUNICATION LINKS AND NETWORKS (CAMAD), IEEE , 2017Conference paper, Published paper (Refereed)
Abstract [en]

In this position paper, we provide a discussion of the need for new mechanisms towards optimizing the performance of the firth generation (5G) wireless systems, and then we outline on-going research work and results in this direction. Initially we go over the recently proposed concept of network anticipation and then resource allocation, since these two themes form the core of the ACT5G research project. Then, we discuss two specific topics within the project. The first is the use of stochastic modeling for millimeter wave (mmWave) systems, which are expected to be part of 5G networks. Our modeling enables network anticipation, resulting in an estimation of the coverage probability of mmWave, including coverage with non-line-of-sight (NLOS) mmWave beams. In the second research topic, we address the use of scalable and dynamic transmission time interval (TTI) for scenarios with a mix of different traffic types. In addition, and highlight the importance of optimizing the channel and TTI allocation in this context. Numerical results of these studies are presented and discussed. Finally, we outline directions for future study.

Place, publisher, year, edition, pages
IEEE , 2017.
Series
IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, ISSN 2378-4865
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-147968DOI: 10.1109/CAMAD.2017.8031631ISI: 000431390400030ISBN: 978-1-5090-6302-4 (print)OAI: oai:DiVA.org:liu-147968DiVA, id: diva2:1209434
Conference
IEEE 22nd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)
Note

Funding Agencies|European Union Horizon 2020 MSCA project ACT5G [643002]

Available from: 2018-05-23 Created: 2018-05-23 Last updated: 2019-05-09

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