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 …
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 …
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 …
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 …
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 …
Performance evaluation of mobility robustness optimization (MRO) in 5G network with various mobility speed scenarios
The massive deployment of small-sized cells for the Fifth Generation (5G) mobile network
will increase the Handover Probability (HOP), potentially causing higher Handover Ping …
will increase the Handover Probability (HOP), potentially causing higher Handover Ping …
Conflict avoidance between mobility robustness optimization and mobility load balancing
Z Liu, P Hong, K Xue, M Peng - 2010 IEEE Global …, 2010 - ieeexplore.ieee.org
In Long Term Evolution (LTE) networks, Mobility Robustness Optimization (MRO) and
Mobility Load Balancing (MLB) are two important functions to auto-optimize the network …
Mobility Load Balancing (MLB) are two important functions to auto-optimize the network …
Reducing ping-pong Handover effects in intra EUTRA networks
K Ghanem, H Alradwan, A Motermawy… - 2012 8th International …, 2012 - ieeexplore.ieee.org
The ping-pong Handover (HO) in LTE is one of the most crucial problems which decrease
the performance of the Handover. The impact of ping-pong HO on inter eNB handover in …
the performance of the Handover. The impact of ping-pong HO on inter eNB handover in …
Enhanced weighted performance based handover optimization in LTE
This paper presents an enhanced version of a self-optimizing algorithm that tunes the
handover (HO) parameters of a LTE (Long-Term Evolution) base station in order to diminish …
handover (HO) parameters of a LTE (Long-Term Evolution) base station in order to diminish …