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 …

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 …

Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …

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 …

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 …

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 …

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 …

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 …

There is no doubt that the world is currently experiencing a global pandemic that is
resha** our daily lives as well as the way business activities are being conducted. With …

Due to increasing industry 4.0 practices, massive industrial process data is now available for
researchers for modelling and optimization. Artificial Intelligence methods can be applied to …