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Self organizing LTE/LTE-A radio access network with wireless mesh backhaul for maritime environment

Sujet proposé par
Directeur de thèse:
Encadré par
Doctorant: Romain FAVRAUD
Unité de recherche UMR 7102 Laboratoire de recherche d'EURECOM

Domaine: Sciences et technologies de l'information et de la communication


Communications for the fleet marine forces are very strategic for controlling and information sharing in real time among different forces. Different type of carriers (all kind of surface ships, frigates, USVs and UAVs) could potentially play the role of a base station and form an autonomous backhaul network and route the data stream. Today 3GPP has defined LTE/LTE-A architectures adapted to the terrestrial environment of mobile networks. The maritime environment is also a potential ground for the deployment of these technologies. Nevertheless, new problems appear including: eNodeB mobility, lack of connection to the core network (point of presence), lack of self-organizing backhaul network, which call for new investigation on wireless mesh networking among the base stations for realtime information sharing in the absence of the fixed core network or with a low throughput backhaul link to the core network (e.g. satellite). In this thesis, we plan to study, design, and develop a mobile LTE/LTE-A (heterogeneous ) radio access network with self-organizing wireless mesh backhaul for fast and ultrafast inter-eNB communication to meet the requirement of navy forces in the maritime environment. In particular, the objectives are the following:


1.1: identify the operational network topology from the real use-cases, and the requirement of LTE/LTE-A deployment in the maritime environment. 1.2: derive the adequate LTE/LTE-A architecture for the navy forces 2.1: study the impact of eNB mobility on the backhaul network (routing and mobility management, and possibility of pico EPC at eNB and LTE X2 interface reuse). 2.2: design algorithm and protocols for the self-organizing wireless mesh backhaul network in order to minimize human intervention in networking processes for network planning, configuration, and optimization. 3.1: self-configure base station supporting dual operational mode: mesh and infrastructure. 3.2: build a proof of concept platform using the openairinterface platform, and experiment and analyze the feasibility of such a architecture.