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 …
Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities
S Zhang, D Zhu - Computer Networks, 2020 - Elsevier
Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …
extremely diverse and challenging requirements. To fulfill such diverse requirements …
[HTML][HTML] Intent-based networks for 6G: Insights and challenges
Abstract Intent-Based Networks (IBNs), which are originally proposed to introduce Artificial
Intelligence (AI) into the sixth-generation (6G) wireless networks, can effectively solve the …
Intelligence (AI) into the sixth-generation (6G) wireless networks, can effectively solve the …
Comprehensive survey on self-organizing cellular network approaches applied to 5G networks
Abstract Self-Organizing Network (SON) stands for a key concept characterizing the
behavior of the future mobile networks. The evolution of telecom infrastructures towards 5G …
behavior of the future mobile networks. The evolution of telecom infrastructures towards 5G …
A survey of online data-driven proactive 5G network optimisation using machine learning
In the fifth-generation (5G) mobile networks, proactive network optimisation plays an
important role in meeting the exponential traffic growth, more stringent service requirements …
important role in meeting the exponential traffic growth, more stringent service requirements …
Reinforcement learning-based downlink interference control for ultra-dense small cells
The dense deployment of small cells in 5G cellular networks raises the issue of controlling
downlink inter-cell interference under time-varying channel states. In this paper, we propose …
downlink inter-cell interference under time-varying channel states. In this paper, we propose …
A review of machine learning techniques for enhanced energy efficient 5G and 6G communications
TP Fowdur, B Doorgakant - Engineering Applications of Artificial …, 2023 - Elsevier
Cellular technologies have evolved continuously from the 1st to the 5th generation (5G) to
meet the exponentially growing needs of bandwidth, throughput and latency. However, the …
meet the exponentially growing needs of bandwidth, throughput and latency. However, the …
Data-driven resource management for ultra-dense small cells: An affinity propagation clustering approach
Deploying dense small cells is the key to providing high capacity, but raise the serious issue
of energy consumption and inter-cell interference. To understand the behaviors of ultra …
of energy consumption and inter-cell interference. To understand the behaviors of ultra …
Reinforcement learning-based interference control for ultra-dense small cells
The densification deployment of small cells emerging into 5G cellular networks can achieve
high capacity, but is faced with the challenge of how to manage energy consumption and …
high capacity, but is faced with the challenge of how to manage energy consumption and …
Self-organizing cellular network approaches applied to 5G networks
SON is an interesting topic in today's cellular networks. Indeed, heterogeneous networks,
ultra-dense deployments and diverse Radio Access Technologies in the same operating …
ultra-dense deployments and diverse Radio Access Technologies in the same operating …