Next-cell and mobility prediction in new generation cellular systems based on convolutional neural networks and encoding mobility data as images

Author:

Fazio PeppinoORCID,Mehic MiralemORCID,Voznak MiroslavORCID

Funder

European Union

Publisher

Elsevier BV

Reference40 articles.

1. Vision, requirements and network architecture of 6G mobile network beyond 2030;Liu;China Commun.,2020

2. Prediction and QoS enhancement in new generation cellular networks with mobile hosts: A survey on different protocols and conventional/unconventional approaches;Fazio;IEEE Commun. Surv. Tutor.,2017

3. Effective machine-learning models for predicting routability during FPGA placement;Martin,2021

4. Using deep reinforcement learning for routing in IP networks;Singh,2021

5. DarkTE: Towards dark traffic engineering in data center networks with ensemble learning;Xu,2021

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