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 …
An integrated affinity propagation and machine learning approach for interference management in drone base stations
Drone small cells (DSCs) can provide on-demand air-to-ground wireless communications in
various unexpected situations, such as traffic jam or natural disasters. However, a DSC …
various unexpected situations, such as traffic jam or natural disasters. However, a DSC …
Proactive power control and position deployment for drone small cells: Joint supervised and unsupervised learning
SH Cheng, YT Shih, KC Chang - IEEE Access, 2021 - ieeexplore.ieee.org
Since unmanned aerial vehicles (UAV) are easily deployed, highly mobile, and hover
capability, they are utilized for many commercial applications. In particular, small cells …
capability, they are utilized for many commercial applications. In particular, small cells …
Victim aware AP-PF CoMP clustering for resource allocation in ultra-dense heterogeneous small-cell networks
A Noliya, S Kumar - Wireless Personal Communications, 2021 - Springer
Heterogeneous networks with dense deployment of femto cells has provided the promising
solution to enhance the system throughputs for the next generation wireless communication …
solution to enhance the system throughputs for the next generation wireless communication …
Data-driven power control of ultra-dense femtocells: A clustering based approach
In this paper we present a data-driven power control (DDPC) approach to improve total cell
throughput and energy efficiency of ultra-dense femtocells. Although femtocells can increase …
throughput and energy efficiency of ultra-dense femtocells. Although femtocells can increase …