Mobility Management for Vehicular User Equipment in LTE/Mobile Femtocell Networks

Mobility Management for Vehicular User Equipment in LTE/Mobile Femtocell Networks

Rand Raheem (Faculty of Science & Technology, Middlesex University, London, United Kingdom), Aboubaker Lasebae (Faculty of Science & Technology, Middlesex University, London, United Kingdom), Mahdi Aiash (Faculty of Science & Technology, Middlesex University, London, United Kingdom) and Jonathan Loo (Faculty of Science & Technology, Middlesex University, London, United Kingdom)
DOI: 10.4018/IJISSS.2017100105
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Abstract

Vehicular User Equipment (UE) performance during mobility faces two issues relating to signaling and transmission, namely Handover (HO) and link adaptation. This paper shows that both processes are experiencing degradation during mobility and that vehicular UEs suffer from call drops and loss of connections. Therefore, this work presents an effective technique using Mobile-Femtos to improve vehicular UEs' HO process and link quality. Results show that vehicular UEs attached to a Mobile-Femto achieved better signalling and Link Ergodic capacity and as a consequence the outage probability was reduced. The achieved results indicated that deploying Mobile-Femtos under 25dB Vehicular Penetration Loss (VPL) has improved the vehicular UE Link Ergodic capacity by 1% and reduced the signal outage probability by 1.8% compared to the eNB direct transmission. Consequently, Drop Calls Probability (DCP) and Block Calls Probability (BCP) have been reduced by 7% and 14% respectively compared to the direct transmission from the eNB.
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In an LTE system, the mobility management procedures such as HO and cell reselection are becoming more complex due to the dense deployment of different type of cells. Many studies have examined the mobility robustness and HO issues in heterogeneous networks. Researchers have focused on different topics such as signal strength during HO, interference, SINR, cells’ properties, UEs positioning, outage probability, drop and block calls probabilities.

Guohua (2013) proposed mobility robustness optimisation scheme based on exploiting measurement reports such as link quality, SINR, UE’s position and direction. The aim of the study was to find the best target cell by updating the HO trigger mechanism after considering the SINR parameter. While in Peng (2012), they proposed two schemes to improve the HO performance during the process of Pico-cells leaving and attaching. The idea is to perform the HO from a small to a large cell and vice versa. It is worth noting that the above was based on fixed BSs where the UEs were vehicular. As result, an increased number of unnecessary HOs which will lead to an increased number of dropped calls.

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