A survey of machine learning techniques applied to self-organizing cellular networks
In this paper, a survey of the literature of the past 15 years involving machine learning (ML)
algorithms applied to self-organizing cellular networks is performed. In order for future …
algorithms applied to self-organizing cellular networks is performed. In order for future …
Mobility management in 5G-enabled vehicular networks: Models, protocols, and classification
N Aljeri, A Boukerche - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Over the past few years, the next generation of vehicular networks is envisioned to play an
essential part in autonomous driving, traffic management, and infotainment applications. The …
essential part in autonomous driving, traffic management, and infotainment applications. The …
Key challenges, drivers and solutions for mobility management in 5G networks: A survey
Ensuring a seamless connection during the mobility of various User Equipments (UEs) will
be one of the major challenges facing the practical implementation of the Fifth Generation …
be one of the major challenges facing the practical implementation of the Fifth Generation …
[HTML][HTML] Handover parameters optimisation techniques in 5G networks
The massive growth of mobile users will spread to significant numbers of small cells for the
Fifth Generation (5G) mobile network, which will overlap the fourth generation (4G) network …
Fifth Generation (5G) mobile network, which will overlap the fourth generation (4G) network …
Mobility robustness optimization in future mobile heterogeneous networks: A survey
Ensuring reliable and stable communication during the movements of mobile users is one of
the key issues in mobile networks. In the recent years, several studies have been conducted …
the key issues in mobile networks. In the recent years, several studies have been conducted …
Individualistic dynamic handover parameter self-optimization algorithm for 5G networks based on automatic weight function
Ensuring a reliable and stable communication throughout the mobility of User Equipment
(UE) is one of the key challenges facing the practical implementation of the Fifth Generation …
(UE) is one of the key challenges facing the practical implementation of the Fifth Generation …
LTE-Advanced and the evolution to Beyond 4G (B4G) systems
Cellular networks have been undergoing an extraordinarily fast evolution in the past years.
With commercial deployments of Release 8 (Rel-8) Long Term Evolution (LTE) already …
With commercial deployments of Release 8 (Rel-8) Long Term Evolution (LTE) already …
On the potential of handover parameter optimization for self-organizing networks
Self-organizing networks (SONs) aim to raise the level of automated operation in next-
generation networks. One of the use cases defined in this field is the optimization of the …
generation networks. One of the use cases defined in this field is the optimization of the …
[HTML][HTML] Artificial intelligence linear regression model for mobility robustness optimization algorithm in 5G cellular networks
Ensuring reliable and stable communication links between User Equipment (UE) and
serving cellular networks during UE movement is one of the significant difficulties facing the …
serving cellular networks during UE movement is one of the significant difficulties facing the …
Adaptive hysteresis margin based on fuzzy logic for handover in mobile networks with dense small cells
KDC Silva, Z Becvar, CRL Frances - IEEE Access, 2018 - ieeexplore.ieee.org
To satisfy requirements on future mobile network, a large number of small cells should be
deployed. In such scenario, mobility management becomes a critical issue in order to …
deployed. In such scenario, mobility management becomes a critical issue in order to …