Femtocell is the emerging network technology introduced in LTE (Long Term Evolution) networks ; it is defined as a low-cost, low power cellular access point that operates in licensed spectrum to connect conventional, unmodified User Equipments (UEs) to a mobile operator’s network. The coverage ranges of femtocell are in the tens of meters. The femtocell Access Point also known as Home eNodeB (HeNB) is the main device in femtocell network that provides radio access network functionality. The HeNB were initially designed for residential use to get better indoor voice and data coverage.
LTE femtocell cannot be seen as an isolated network as it can be integrated with different type of network in terms of handover to handle the session continuity during mobility. Nonetheless, the availability of hundreds of HeNBs in a particular area most likely increases the technological challenges in handover procedure. Another challenge is the mitigation unnecessary handover since large number of HeNBs can trigger the very frequent handovers even before the current initiated handover procedure is completed.
In this Thesis we will study the usage of surrounding technologies as RFID to help improving the mobility management in the femto cell network but also improve the decision process to connect the mobile devices to the most appropriate access points in the femto cell network.
In the thesis subject, we propose to integrate LTE femto cell with RFID technology in order to reduce the movement detection latency for matching the handovers at the link and network layers. RFID tags should be deployed throughout the area in order to detect the movement of a user element with a reader-enabled terminal. The tags can be deployed in the area such that their IDs are associated with network topology information, i.e. each tag ID is matched to its best Point of attachment (PoA). Then, during terminal’s mobility, information retrieved from the detected tags is used for detecting its movement and thus anticipating the handover toward its next best PoA.
In addition to the movement detection, it is also necessary to handle in an efficient the decision to connect to which femto cell, so we propose in this thesis to look at the presence information provided by the RFID based location system in order to trigger the decision to connect to the most convenient Femto cell.
Different tools will be investigated as multi objective decision based functions, game theory and simulations will be conducted to validate our findings.
The PhD Student will also run some tests and measurements over existing research networks as SensLab and ORBIT networks.
This thesis will be held in our research team which is already collaborating with the Singapoore research centre on similar research topics. The PhD Student will have the possibility to benefit from the international experience via regular exchanges with our collaborator Singapoore.
This work will be co-supervised by Hakima Chaouchi at Telecom Sud Paris and Tara Ali Yahiya at University of Orsay.