A typical handover problem requires sequence of complex signaling between a UE, the
serving, and target base station. In many handover problems the down link based …

In the wake of network densification and multi-band operation in emerging cellular networks,
mobility and handover management is becoming a major bottleneck. The problem is further …

The ever-growing data rate demand from cellular users increases the associated power
consumption that directly contributes to the global warming of the environment. Also …

Next-generation cellular networks will evolve into more complex and virtualized systems,
employing machine learning for enhanced optimization and leveraging higher frequency …

We present a Machine Learning (ML) use-case for reducing latency in wireless networks, by
replacing some of the traditional and time-consuming procedures. The proposed method …

Nowadays, one of the most important challenges in heterogeneous networks is the
connection consistency between the mobile station and the base stations. Furthermore …

This paper displays a novel technique that allows tuning and predicting better values for A3
offset handover parameter for both inter-frequency and intra-frequency. The proposed work …

Ultra-reliable low-latency communication (URLLC) services are intrinsically challenging to
deliver, with many 5G and future services, including mobile game streaming, adding further …

Although the 5G New Radio standard empowers the mobile communication networks with
diverse technologies such as Massive MIMO, mmWave deployments, and much more, some …

Radio resource management in cellular networks is typically based on device
measurements reported to the serving base station. Frequent measuring of signal quality on …