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1 décembre 2017

Resource allocation strategies for Cloud RAN

Catégorie : Post-doctorant

The Telecoms and Networking team at L2S (http://www.l2s.centralesupelec.fr/), Paris-Saclay/CentraleSupelec, France, is offering a PostDoc position, of 9 months, renewable 9 months more.

The PostDoc will work on a project in collaboration with Orange and IRT SystemX, in the area of resource allocation strategies for Cloud RAN. More details are given in the joint subject.

The successful candidate should have a PhD demonstrating strong knowledge in networking and telecoms with background in numerical communication, scheduling and quality of service, simulation and recognised programming skills.

The position is open until a candidate is selected. The PostDoc will start at the beginning of March 2018, due to the administrative delay.

To apply:

  • a CV detailing publications list. Applications without publications in one of the previous scientific fields will not be considered.
  • a PDF of THE best publication of the thesis report.
  • at least one referent person.

Postdoctoral project


In 5G mobile communication systems, wireless communication technology and computer and information technology will be closely and deeply interworked by integrating device technology and software technology to support the development of future 5G mobile broadband industry. The cloud- based architecture [1] is one of the building elements for this next generation wireless networks. This architecture consists of mobile cloud, cloud-based radio access network (Cloud-RAN), reconfigurable network and data centers.

This postdoctoral position is in the context of a collaborative project in conjunction with two other partners, Orange Labs and IRT SystemX. It represents a real opportunity to see research results being rapidly implemented in an industrial environment.

Research Directions

This research will basically focus on the RAN (Radio Access Network) functions that will be implemented using some software on ordinary equipments. Currently, some of these functions (decoding for example) are run within dedicated devices in order to satisfy real time constraints. The first problem consists in studying the impact of softwarized function on QoS constraints (especially, in terms of response time). As a consequence, a particular attention will be paid to the task distribution, the cloud computing resource allocation and the scheduling policies. Several strategies could be developed to take into account both the QoS constraints and the resource allocation but with considering different objectives. Further extensions will focus on allocation policies to guarantee the service level to the Mobile Virtual Network Operators sharing the same Cloud RAN.

The postdoc candidate will be involved in the following tasks:

Background of the candidate

The candidate must have a PhD in networking or computer science with background in numerical communication. He must have a good knowledge of real-time scheduling, QoS methods and resource allocation. Knowledge in performance evaluation will be greatly appreciated as well as programming and simulation skills.


[1] Chen M., Zhang Y., Hu L., Taleb T., and Sheng Z., “Cloud-based wireless network: Virtualized, reconfigurable, smart wireless network to enable 5G technologies”, Mobile Networks and Applications, vol. 20, issue 6, pp. 704-712, Dec. 2015

[2] Sabella D., Rost P., Sheng Y., Pateromichelakis E., Salim U., Guitton-Ouhamou P., and Giuliani G., “ RAN as a service: challenges of designing a flexible RAN architecture in a cloud-based heterogeneous mobile network », in Proceedings of IEEE future network and mobile Summit (FutureNetworkSummit), pp 1–8, Lisbon, Portugal, July 2013.


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