Small cells in the forthcoming 5G/IoT: Traffic modelling and deployment overview

F Al-Turjman, E Ever… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
This paper provides an overview of the use of small cells (eg, femtocells) in the Internet of
Things (IoT) environments. As a result of rapid increase in the number of mobile connected …

Mobility management for femtocells in LTE-advanced: Key aspects and survey of handover decision algorithms

D Xenakis, N Passas, L Merakos… - … surveys & tutorials, 2013 - ieeexplore.ieee.org
Support of femtocells is an integral part of the Long Term Evolution-Advanced (LTE-A)
system and a key enabler for its wide adoption in a broad scale. Femtocells are short-range …

Mobility aware and dynamic migration of MEC services for the Internet of Vehicles

I Labriji, F Meneghello, D Cecchinato… - … on Network and …, 2021 - ieeexplore.ieee.org
Vehicles are becoming connected entities, and with the advent of online gaming, on
demand streaming and assisted driving services, are expected to turn into data hubs with …

Handover control in wireless systems via asynchronous multiuser deep reinforcement learning

Z Wang, L Li, Y Xu, H Tian, S Cui - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
In this paper, we propose a two-layer framework to learn the optimal handover (HO)
controllers in possibly large-scale wireless systems supporting mobile Internet-of-Things …

Wireless communication, sensing, and REM: A security perspective

HM Furqan, MSJ Solaija, H Türkmen… - IEEE Open Journal of …, 2021 - ieeexplore.ieee.org
The diverse requirements of next-generation communication systems necessitate
awareness, flexibility, and intelligence as essential building blocks of future wireless …

Deep learning-based intelligent dual connectivity for mobility management in dense network

C Wang, Z Zhao, Q Sun, H Zhang - 2018 IEEE 88th Vehicular …, 2018 - ieeexplore.ieee.org
Ultra-dense network deployment has been proposed as a key technique for achieving
capacity goals in the fifth-generation (5G) mobile communication system. However, the …

Decentralized deep reinforcement learning meets mobility load balancing

HH Chang, H Chen, J Zhang… - IEEE/ACM Transactions on …, 2022 - ieeexplore.ieee.org
Mobility load balancing (MLB) aims to solve the problem of uneven resource utilization in
cellular networks. Since network dynamics are usually complicated and non-stationary …

A robust self-optimization algorithm based on idiosyncratic adaptation of handover parameters for mobility management in LTE-A heterogeneous networks

T Al Achhab, F Abboud, A Assalem - IEEE Access, 2021 - ieeexplore.ieee.org
Mobility robustness optimization (MRO) is a fundamental issue regarding self-optimization
network (SON). In long-term evolution-advanced (LTE-A), handover (HO) optimization in …

Efficient Anchor Point Deployment for Low Latency Connectivity in MEC-assisted C-V2X Scenarios

P Fondo-Ferreiro, F Gil-Castineira… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Next-generation cellular networks will play a key role in the evolution of different vertical
industries. Low latency will be a major requirement in many related uses cases. This …

Geometry-based analysis of optimal handover parameters for self-organizing networks

MT Nguyen, S Kwon - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
Handover failure and ping-pongs are the common thorny issues in modern mobile networks.
While handover failures caused by radio link failure (RLF) significantly reduces the reliability …