Abstract
This paper discusses the mobility management for high-speed users, which is a crucial challenge for all mobile operators, especially when users are moving vertically across different network technologies. Mobility, also known as seamless connectivity, is directly influencing the quality of service (QoS). Mobility management-Handover (HO) performance was evaluated by field measurements of a Long Term Evolution (LTE) network of a mobile operator in the Middle East. Drive test measurements were used to analyze the results of different high-speed scenarios. User Equipment (UE) with high speed of 80-140km/h causes a high risk of failure of seamless connectivity as the HO procedure timing is longer than for UE with smaller speed. HO failure and call drop may occur when UE is moving with high speed across two adjacent cells in highways. During measurements, HO failure occurred when UE speed was 140km/h, and HO preparation timing increased when UE speed increased.
Highlights
The most important objective that differentiates cellular technologies is data demand
Low power cells were used by a mobile operator in the downtown zone where high capacity and seamless service are required in a high-density region, whereas cell power rises towards the highway that runs outside the city where the lowdensity zone is located, so the cell transmission range is improved
The measured Reference Signal Received Power (RSRP) value is set within the range of -80dBm and -105dBm and the RSRP HO value to a bit higher value in order to keep quality of service (QoS) in a high level and avoid call drops, call drops occurred during our test when user equipment (UE) speed was 140km/h
Summary
The most important objective that differentiates cellular technologies is data demand. The design of applications for users mobile users, is a demanding task for mobile telecom operators while continuous communication is constantly required. Operators may need to seamlessly combine several technologies that deliver unlimited content to customers in a global environment where fourthgeneration (4G) or long-term evolution (LTE) networks and beyond are beginning to spread. To deliver “seamless” interoperability and convergence between these heterogeneous systems, the integration of unique wireless network technology is needed, and the use of vertical handover (VHO) methods is required [1]. HO decisions can be made using several techniques such as fuzzy logic and machine learning to overcome the mobility challenges and reduce the rate of HO failures and delay. The LTE must minimize delay and packet loss in voice transmission to fulfill this intention and assure reliability in high-speed data transmission circumstances
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