Mobility Robustness Optimization for Self-Organizing Networks: A Deep Reinforcement Learning Approach
Self-organizing network (SON) has emerged as a promising solution to manage dynamic
and complex wireless/mobile networks without excessive manual intervention. As a key …
and complex wireless/mobile networks without excessive manual intervention. As a key …
Mobility-aware load balancing for reliable self-organization networks: Multi-agent deep reinforcement learning
A Mohajer, M Bavaghar, H Farrokhi - Reliability Engineering & System …, 2020 - Elsevier
Abstract Self-Organizing Networks (SON) is a collection of functions for automatic
configuration, optimization, and healing of networks and mobility optimization is one of the …
configuration, optimization, and healing of networks and mobility optimization is one of the …
Sons3: A network data driven simulation framework for mobility robustness optimization
F Laakso, J Puttonen, J Kurjenniemi… - 2018 IEEE 88th …, 2018 - ieeexplore.ieee.org
Self-Organizing Networks (SON) aim at automation of network parameters to make the
planning, configuration, management, optimization and healing of mobile radio access …
planning, configuration, management, optimization and healing of mobile radio access …
Cognitive network function for mobility robustness optimization in cellular networks
Self Organizing Networks (SON) aim at automating different network management functions,
thereby improving their efficiency while reducing the operational expenditures. There are …
thereby improving their efficiency while reducing the operational expenditures. There are …
Advanced mobility robustness optimization models in future mobile networks based on machine learning solutions
Ultra-dense heterogeneous networks (HetNets) are deployment scenarios in the advent of
fifth generation (5G) and beyond network generations. A massive number of small base …
fifth generation (5G) and beyond network generations. A massive number of small base …
Applying Deep Reinforcement Learning for Self-organizing Network Architecture
YH Tu, YW Ma, ZX Li, JL Chen… - 2023 IEEE 6th …, 2023 - ieeexplore.ieee.org
Inefficient resource allocation and unstable connection quality for mobile devices are the
primary challenges of Self-Organizing Networks (SON). Frequent handovers between base …
primary challenges of Self-Organizing Networks (SON). Frequent handovers between base …
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 …
Big data enabled mobility robustness optimization for commercial LTE networks
J Joseph, F Ahmed, T Jokela… - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
Mobility Robustness optimization (MRO) is widely considered as an important self-
organizing network (SON) usecase for tackling mobility management problems in …
organizing network (SON) usecase for tackling mobility management problems in …
Knowledge transfer in deep reinforcement learning for slice-aware mobility robustness optimization
The legacy mobility robustness optimization (MRO) in self-organizing networks aims at
improving handover performance by optimizing cell-specific handover parameters …
improving handover performance by optimizing cell-specific handover parameters …
A robust self-optimization algorithm based on idiosyncratic adaptation of handover parameters for mobility management in LTE-A heterogeneous networks
Mobility robustness optimization (MRO) is a fundamental issue regarding self-optimization
network (SON). In long-term evolution-advanced (LTE-A), handover (HO) optimization in …
network (SON). In long-term evolution-advanced (LTE-A), handover (HO) optimization in …