[Tccc] Ph.D. Student Position at Telecom Bretagne/Supelec (Rennes, France)
Alberto Blanc
alberto.blancattelecom-bretagne.eu
Wed Jul 3 06:20:34 EDT 2013
Applications are invited for one Ph.D. position co-supervised by Telecom
Bretagne and Supelec (two engineering schools) in Rennes (France),
entitled "Cross-Layer Design and Analysis for Energy Efficient Wireless
Networks"
Thanks to the success and widespread adoption of powerful mobile devices
(smart phones, tablets, laptops) combined with the ever increasing
popularity of cloud-based services, data traffic carried by wireless
networks keeps increasing. One of the consequences of this growth is
that the energy consumed by the different wireless networks keeps
increasing as well, especially as these networks have been typically
designed without energy efficiency in mind.
In the context of the Energy Proportional Networks (EPN) project of the
CominLabs Labex dedicated to increasing the efficiency of wireless
networks, the Ph.D. candidate will work on cross-layer solutions.
In a wireless network different devices (e.g., Mobile Nodes, Access
Points, etc.) have to make several decisions at different times. For
example, Mobile Nodes are typically equipped with multiple network
interfaces (WiFi, 3G/4G, etc.) and they need to decide whether to use
only one interface at a time or whether to use multiple interfaces in
parallel, in which case they also need to assign each application flow
to an interface. Potentially they could also decide to move flows from
one interface to another ("vertical" handover). Mobile Nodes also need
to decide which Access Point (AP)/Base Station they should associate
with. Another typical example of a decision in a wireless network with
mobile nodes is the ("horizontal") handover, that is when a Mobile Node
should switch to a different AP/Base-Station.
Network elements and the "network" itself need to make decisions as
well. Each network device can make decisions individually or
collaboratively by consulting and coordinating with other devices. For
example, cellular Base Stations and WiFi Access Points can communicate
with each other in order to decide when to tell a Mobile Node to execute
a handover (horizontal or vertical). Similarly, Base Stations and
Access Points can adapt certain parameters (e.g., transmission power,
coding schemes) depending on the current users' distribution and traffic
demand.
Several algorithms have already been proposed to address these problems,
using different techniques (e.g., optimization, machine learning),
typically at a given layer of the OSI model. The goal of this
dissertation is to analyze and eventually modify some of these existing
algorithms as well as to propose new ones in order to increase the
overall energy efficiency of wireless networks. One of the expected
contributions of this work will be to determine which parameters can be
estimated reliably and effectively (e.g., traffic load/demand, user
distribution). Given the potentially large number of time-varying
parameters, one possible solution is for users to anonymously share some
of the measurements in order to allow a (distributed) controller to
build a precise and updated view of the state of the network, which
could then be used to better manage the network and decrease its energy
consumption.
Applicants must have a master's degree in Computer Science/Computer
Engineering or closely related field, ideally with an emphasis on
computer networks.
Successful candidates should have:
- Strong programming skills (at least one among: C/C++, Java, Python).
- Strong background in stochastic modelling and statistical analysis.
- Basic knowledge about computer networks (wired and wireless, TCP/IP,
WiFi).
- Strong skills in oral and written communication.
Interested students should submit the following via email:
- Curriculum vitae.
- Cover letter stating motivations and qualifications.
- TOEFL & GRE scores (if available).
- Names and contact details of at least two references.
To apply and for more information please contact Alberto Blanc
(alberto.bl... at telecom-bretagne.eu)
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