In this paper, we present a machine learning scheme based on Neural Network for calls vertical handover in heterogeneous networks. The Neural Network Based ...

In this paper, we present a machine learning scheme based on. Neural Network for calls vertical handover in heterogeneous networks. The Neural Network Based ...

Using a neural network, a vertical handover scheme is developed in [4] for seamless connectivity in heterogeneous networks. Similarly, an artificial neural ...

It is proved that the proposed LSTM-based machine learning algorithms used in Near-RT RIC can improve the handover performance compared to the traditional ...

Nasser M. Alotaibi, Sami S. Alwakeel: A Neural Network Based Handover Management Strategy for Heterogeneous Networks. ICMLA 2015: 1210-1214.

Mar 22, 2024 · This research work addresses the problem of handover decisions in the Hybrid LiFi and WiFi networks and treats it as a binary classification problem.

An adaptive neuro-fuzzy inference-system-based handover decision system design is used to make more intelligent, comprehensive, and quick decisions to select ...

Nov 21, 2021 · This paper proposes a cooperative horizontal VHO (CHVHO) strategy for heterogeneous network based on quality of experience (QoE).

A Neural Network Based Handover Management Strategy for Heterogeneous Networks. Nasser M. Alotaibi, S. Al-Wakeel. 2015, International Conference on Machine ...

Apr 15, 2024 · We propose a handover algorithm based on Bayesian-optimized Long Short-Term Memory (BO-LSTM) and multiple attribute decision making (HO-BLM) to reduce handover ...