Skip to content

A Hybrid Artificial Intelligence Framework for Reliable and Seamless Vertical Handover in Next-Generation Heterogeneous Networks

· 0 citations · 54 references

TL;DR

A Hybrid deep double-Q networks (DDQN)–bidirectional long short-term memory (Bi-LSTM) Framework that integrates bi-directional mobility prediction and DRL-based adaptive decision-making is introduced that highlights the effectiveness of integrating predictive intelligence with reinforcement learning for reliable mobility management in 5G-Advanced and emerging 6G networks.

View source

Similar papers

Review Open access Aug 2026

AI-Driven Mobility Management in 5G and 6G Wireless Networks: A Survey

A comprehensive survey of AI-enabled mobility management strategies for 5G, Beyond 5G, and upcoming 6G networks, with particular attention to HO optimization and load balancing is presented.

H. Asif, Abdulraqeb Alhammadi, Naser Tarhuni et al. · 0 citations
Conference Jul 2026

Deep Reinforcement Learning for Handover Optimization in 5G Networks

Ultra-dense 5G networks require advanced traffic steering to maintain performance and balance load amid growing user and base station (gNB) densities. Traditional heuristics such as nearest-base-station and Signal-to-Interference-plus-Noise Ratio (SINR)-based selection provide simple solutions but struggle to adapt to...

Damianos Diasakos, V. Kokkinos, C. Bouras et al. · 0 citations
Open access Aug 2026

A proposed mobility and resource prediction method for seamless handover and service continuity in 5G small cell networks

A proactive mitigation framework that applies the unified Autoregressive Recurrent Neural Network (AR-RNN) that significantly improves network reliability, reducing the network outage probability by up to 50% compared to standard reactive handover procedures.

Khoa Nguyen Dang Dinh, Peppino Fazio, Miroslav Voznák · 0 citations
Conference Jul 2026

WHO: World Model Approach for Handover Optimization in 5G Networks

Recently, the development and deployment of intelligent controllers for radio access networks (RAN) has attracted significant attention from network operators and international telecommunications organizations, driven by rapid advances in artificial intelligence. Mobility management plays a fundamental role in ensuring...

Uyen Thi Thu Truong, Doan Van Nguyen, Do Ngoc Tuan et al. · 0 citations
Conference Aug 2026

Velocity-Aware Adaptive Handover Control for Mobility Management in 5G Ultra-Dense Networks

The deployment of Ultra-Dense Networks (UDNs) in 5G systems is to meet the growing demand for high data rates and massive connectivity. However, the dense deployment of small cells increases handover frequency, leading to challenges such as handover failures (HOF), unnecessary handovers, and the ping-pong effect, leadi...

Halah Hassen Aldumaini, Hanadi Esmeail Yahya, Oloof Ameen Mohmmed et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.