… Thus, in 5G networks, an efficient handover algorithm must take the SINR change of a …
handover algorithm in 5G networks by considering the SINR change of a UE using deep learning. …

… Machine learning is capable of capturing underlying pattern … complex problems, and much
learning-based HO optimization … a deep reinforcement learning-based HO algorithm using the …

… One of the main problems for these users is the proper initiation of handover. The main
handovers problems are too-early, too-late and pingpong handover (when users move on the …

… , by introducing deep learning method in trajectory prediction, the handover mechanism in
this paper outperforms the traditional handover mechanism when using the same TTT time. …

… handovers better, to cater to the services that a user desire. In contrast to any … handover
improvement scheme, we develop a ‘Deep-Mobility’ model by implementing a deep learning …

… This article offers a novel prediction-based CHO (PCHO) scheme that uses deeplearning
technology to overcome the weaknesses of CHO and make more intelligent preparation …

… a machine learning method for learning the optimal time and destination for handovers in
5G radio networks, as well as how to use the learned model to trigger handovers based on the …

… This study proposed a fast, reliable handover scheme using a deep learningbased LSTM
algorithm. The scheme does not build a unique static fingerprint using CSI, recording instead …

… For improving parameters of the network, the artificial intelligence, machine/deep learning
… decisions accordingly and number of algorithms and learning techniques helped to solve …

… challenges and to optimize the handover process, this section will present different handover
mechanisms based on deep learning techniques utilizing supervised learning, and all its …