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We propose a fast and reliable target Evolved Node B (TeNB) selection scheme for Long Term Evolution-Advanced (LTE-A) handover (HO). Selection of the TeNB in LTE-A HO procedure is based on signal strength requirements and thus may not be ideal. Also, during each measurement period the user equipment (UE) needs to perform scanning of multiple neighboring eNB (NeNB) frequencies resulting in delays too large for high speed services. In our scheme, the TeNB is chosen based on three different parameters: the orientation match, the current load (CL) of NeNBs and their received signal strengths (RSS). This selection based on three independent parameters makes it more reliable, enhancing HO performance. Moreover, as a UE only measures the NeNBs shortlisted based on these parameters, the measurement time is also reduced, which leads to a reduction in the overall HO time.

Abstract-Telecommunication networks often face power outage problems in the natural disaster affected areas. Also, owing to a sudden substantial increase in network traffic loads the battery backup power of the base stations run out quickly and therefore hampering telecommunication services. To overcome this system performance issues, we propose a Long Term Evolution (LTE)-Advanced (LTE-A)-based user equipment (UE)-controlled and base station (Evolved Node B or eNB)-assisted handover scheme. The idea is to limit the arrival of new traffic to an already overloaded eNB by diverting their handover to lightly loaded nearby eNBs. The novelty of this work is the ability of an UE to self-detect the occurrence of a natural disaster and to self-select the most suitable target eNB (TeNB) to handover with in the disaster affected areas. The handover is performed by obtaining the weighted average score (WAS) of the direction of motion (DoM) and the leftover battery backup power of the different neighboring eNBs (NeNB). The UE also predicts its DoM and dynamically adjust the weights of the two parameters if it's a disaster situation. Preliminary simulation results show that the scheme can offer up to 65% handover success rate in disaster situations.Keywords-natural disaster, seamless handover, leftover power, base station, LTE-A, weighted average score, movement prediction