Dynamic handover optimization in 5G heterogeneous networks

Abstract

With the rapid proliferation of 5G and internet of things devices, seamless mobility and ubiquitous connectivity have become paramount. 5G networks, characterized by their heterogeneous nature, integrating diverse network environments like macro cells, small cells, and Wi-Fi hotspots, pose significant challenges to maintaining uninterrupted connectivity for mobile users. Efficient handover mechanisms are crucial for ensuring a smooth transition between these diverse networks and guaranteeing optimal quality of service. Existing static handover techniques often struggle to adapt to the dynamic conditions of heterogeneous networks, leading to suboptimal performance and disruptions in connectivity. This research gap necessitates the development of more intelligent and adaptive handover solutions. This paper proposes a novel dynamic handover approach designed to optimize seamless connectivity in heterogeneous 5G wireless networks. The proposed method leverages real-time 5G network analytics, analyses user mobility patterns, and incorporates QoS requirements to make intelligent handover decisions. Hence, there is need in dynamically adjusting handover parameters based on current network conditions and user contexts, the approach aims to minimize latency, reduce packet loss, and ultimately enhance the overall user experience. In Seamless Mobility in Heterogeneous Mobile Networks, improvements to handover performance based on factors such as power level, user velocity, and target cell load have been discussed. The performance of the proposed dynamic handover approach was evaluated through extensive simulations. The results demonstrate significant improvements in key performance indicators compared to traditional static handover techniques. Specifically, the proposed approach achieves a 95% improvement in handover success rates and a substantial reduction in downtime, compared to the 80% success rate of existing static methods as seen from table 2. Moreover, the dynamic approach leads to better utilization of network resources. Also, there is a highlight on the need for mobility management schemes in heterogeneous environments to address the diverse needs of users. This work contributes to the ongoing development of adaptive and resilient connectivity solutions essential for the evolving landscape of 5G and beyond.