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 …
Machine learning in beyond 5G/6G networks—State-of-the-art and future trends
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
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 …
Mobility prediction: A survey on state-of-the-art schemes and future applications
H Zhang, L Dai - IEEE access, 2018 - ieeexplore.ieee.org
Recently, mobility has gathered tremendous interest as the users' desire for consecutive
connections and better quality of service has increased. An accurate prediction of user …
connections and better quality of service has increased. An accurate prediction of user …
Mobility management in emerging ultra-dense cellular networks: A survey, outlook, and future research directions
The exponential rise in mobile traffic originating from mobile devices highlights the need for
making mobility management in future networks even more efficient and seamless than ever …
making mobility management in future networks even more efficient and seamless than ever …
Control-data separation architecture for cellular radio access networks: A survey and outlook
Conventional cellular systems are designed to ensure ubiquitous coverage with an always
present wireless channel irrespective of the spatial and temporal demand of service. This …
present wireless channel irrespective of the spatial and temporal demand of service. This …
[HTML][HTML] A novel deep learning driven, low-cost mobility prediction approach for 5G cellular networks: The case of the Control/Data Separation Architecture (CDSA)
One of the fundamental goals of mobile networks is to enable uninterrupted access to
wireless services without compromising the expected quality of service (QoS). This paper …
wireless services without compromising the expected quality of service (QoS). This paper …
The role of artificial intelligence driven 5G networks in COVID-19 outbreak: Opportunities, challenges, and future outlook
There is no doubt that the world is currently experiencing a global pandemic that is
reshaping our daily lives as well as the way business activities are being conducted. With …
reshaping our daily lives as well as the way business activities are being conducted. With …
STEP: A spatio-temporal fine-granular user traffic prediction system for cellular networks
While traffic modeling and prediction are at the heart of providing high-quality
telecommunication services in cellular networks and attract much attention, they have been …
telecommunication services in cellular networks and attract much attention, they have been …
Network slicing for beyond 5G systems: An overview of the smart port use case
As the idea of a new wireless communication standard (5G) started to circulate around the
world, there was much speculation regarding its performance, making it necessary to carry …
world, there was much speculation regarding its performance, making it necessary to carry …