Overview of Adaptive Handover Techniques For Wireless Networks
Secondly, the contributions of the study include offering a comprehensive review of AI-ML-based handover techniques for next-gen wireless networks , proposing a novel hybrid ML framework for intelligent and efficient handover decisions and evaluating the performance of various algorithms through simulations and providing guidelines for practical ...
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 seamless handover of mobile devices is critical for maximizing the potential of smart city applications, which demand uninterrupted connectivity, ultra-low latency, and performance in diverse environments. Fifth-generation (5G) and beyond-5G networks offer advancements in massive connectivity and ultra-low latency by leveraging advanced technologies like millimeter wave, massive machine ...
This study develops an adaptive handover strategy in 5G networks to tackle high mobility challenges and improve service continuity and quality. The research method uses a 5G network emulator with a topology of four base stations (gNBs) to test user equipment (UE) speeds of 20 km/h and 130 km/h. The adaptive algorithm developed utilizes data from the Received Signal Strength Indicator (RSSI) as ...
As we can see from the illustration, Adaptive Handover Techniques For Wireless Networks has many fascinating aspects to explore.
An adaptive optimized handover decision model for heterogeneous networks
A heterogeneous network (HetNet), combining different technologies, is considered a promising solution adopted by several upcoming generations of mobile networks to keep up with the rapid development of mobile users' requirements while improving network performance. In this scenario, a vertical handover (VHO) algorithm is responsible for ensuring the continuity of the ongoing user connection ...
This study presents and evaluates a Deep Reinforcement Learning (DRL)-based approach for adaptive network switching in heterogeneous wireless environments. By leveraging a Deep Q-Network (DQN), the model learned to make intelligent handover decisions based on real-time network parameters, user mobility, and application-specific Quality of ...
Additional Notes on Adaptive Handover Techniques For Wireless Networks
PPT - Enhancing IP Mobility Handover Management toward Future Internet. For Adaptive Handover Techniques For Wireless Networks, this point helps readers notice the most relevant visual details before moving into the gallery.
(PDF) Adaptive handover control in IP-based mobility networks · Taeyeon. It gives the article a little more context before the image collection begins.
(PDF) An Adaptive Handover Scheme for Hybrid LiFi and WiFi Networks. It works as a short bridge between the article summary and the gallery section.
