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UID:434@lincs.fr
DTSTART;TZID=Europe/Paris:20190321T140000
DTEND;TZID=Europe/Paris:20190321T160000
DTSTAMP:20190418T071406Z
URL:https://www.lincs.fr/events/thesis-defense/
SUMMARY:Thesis Defense : Smart grid-aware radio engineering in 5G mobile
 networks
DESCRIPTION:\n The energy demand in mobile networks is increasing due to
 the emergence of new technologies and new services with higher requirements
 (data rates\, delays\, etc). In this context\, the Mobile Network Operator
 (MNO) has to provide more radio and processing resources in its network
 leading for higher financial costs. The MNO has no choice but to implement
 energy saving strategies in all the parts of its infrastructure and
 especially at the Radio Access Network (RAN).At the same time\, the
 electrical grid is getting smarter including new functionalities to balance
 supply and demand by varying the electricity prices\, allowing some
 aggregators to be part of the supply process and signing demand response
 agreements with its clients. In the context of reliable smart grid\, the
 MNO having thousands of evolved NodeB (eNB) spread over all the country\,
 has to play major role in the grid by acting as a prosumer able to sell
 electricity. In African Sub-Saharan countries however\, the grid may be not
 reliable or even non existent\, the MNO has no choice but to deploy a
 Virtual Power Plant (VPP) and rely partially or totally on it.In this
 thesis\, we study the interactions between the network operator and the
 grid either reliable or not in both developed and developing countries. We
 investigate both long term and short term optimal energy related
 management\, with the aim of minimising the operator's Total Cost of
 Ownership (TCO) for energy per base station which is the sum of its Capital
 Expenditure (CAPEX) and Operational Expenditure (OPEX) while satisfying the
 growing needs of its user traffic in the cell.The long term study enables
 us to make semestral based investment decisions for the battery and
 renewable energy sources dimensioning considering equipment performance
 degradation\, predictions on users traffic growth and electricity market
 evolution over a long period of time counted in years.&nbsp\;&nbsp\;In the
 case of being powered by a reliable smart grid\, the short term policy
 helps the operator to set on a daily basis\, an optimal battery management
 strategy by performing electricity arbitrage or trading that takes
 advantage of the electricity prices hourly fluctuations in order to
 minimize the MNO daily energy bill while respecting some rules on the usage
 of its equipments.&nbsp\;In the case of a non reliable or off-grid
 environment\, the operator is powered by hybrid sources coupling storage\,
 diesel generators\, solar power and the grid if the latter is operational.
 Here\, we define a fixed order of priority on the use of these sources that
 extends the battery lifetime and maintain its performance. \n\n\n\nTags:
 Thesis Defense : Smart grid-aware radio engineering in 5G mobile networks\,
 Wael Labidi\, Telecom SudParis\, IMT\, Samovar\n
CATEGORIES:PhD Defense,Youtube
LOCATION:Paris-Rennes Room (EIT Digital)\, 23 avenue d'Italie\, 75013
 Paris\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23 avenue d'Italie\, 75013
 Paris\, France;X-APPLE-RADIUS=100;X-TITLE=Paris-Rennes Room (EIT
 Digital):geo:0,0
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DTSTART:20181028T020000
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