Bandwidth and Energy Efficient 5G Wireless Network Configuration/Reconfiguration

As Internet usages are proliferating communications networks are faced with new shortcomings. Future networks will have to support in 2020 mobile traffic volumes 1000 times larger than today and a spectrum crunch is anticipated. Wireless access rates are today significantly lower than those of fixed access, which prevents the emergence of ubiquitous low cost integrated access continuum with context independent operational characteristics. Communication networks energy consumption is growing rapidly, especially in the radio part of mobile networks. The proliferation of connected devices makes it very difficult to maintain similar performance characteristics over an ever-larger portfolio of technologies and requirements. Heterogeneity of access technologies entails unsustainable cost with increasing difficulties to integrate an ever-larger set of resources with reduced OPEX.
We address in this research proposal, some of the key issues for the competitiveness of the communication industry in the context of future 5G integrated, ubiquitous and ultra-high capacity networks, using big data and machine learning tools, models and algorithms. In particular, we will investigate the following research problems: traffic rerouting, proactive failure detection, optimization of cellular antenna parameters, and energy savings in the context of 5G wireless networks.

Intern: 
Nalveer Moucheet;Ali Bayat;Leonardo Dias
Faculty Supervisor: 
Brigitte Jaumard
Province: 
Quebec
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