With the purpose of providing higher data rate and ultra-reliable and low-latency
communications for the users, employing the small cells in the upcoming Fifth-Generation …

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 …

Abstract Digital Twins (DTs), which are paired to Internet of Things (IoT) devices to represent
them and augment their capabilities, are gaining ground as a promising technology to …

Mobility prediction is a powerful tool for network operators to optimize network performance.
From cell level, if network operators know the cells to which the users will be connected in …

The increasingly severe network security situation brings unanticipated challenges to mobile
networking. Traditional HMM (Hidden Markov Model) based algorithms for predicting the …

This paper presents new learning-based, energy-delay-aware power control strategies for
the uplink of dynamic cell-free (CF) massive multiple-input multiple-output (MIMO) networks …

This paper presents a mobility prediction model as part of a handover mechanism
combining centralized and decentralized network control to improve performance and …

Over the last decade, 5G and forthcoming 6G architectures have undergone extensive
standardization and preparations for the future. The literature in this field is saturated with …

Mobile clients that consume and produce data are abundant in fog environments and low
latency access to this data can only be achieved by storing it in their close physical …

Now days cellular users are expecting seamless connectivity and better quality of
experience from service providers. In cellular networks, user mobility is crucial since it raises …