The Heuristic for Hardware Dimensioning Considering Tidal Effect

Abstract

The recent increase in the volume of services and applications, in addition to the accelerated growth in demand for wireless access, represent significant challenges for the fifth generation (5G) of mobile networks. The daily large-scale migration of people to urban centres is another aspect of this trend, as it entails what is known as the "tidal effec". This effect leads to natural fluctuations in traffic throughout the day and makes it difficult to conduct network dimensioning, control, and management, thus resulting in the inefficient use of network resources. A heuristic with two approaches for provisioning resources (one based on the aggregate throughput and the other on the number of connected users) is proposed in this paper. This is based on data extracted from the mobile subscriber movement in the current network architecture, where a database with geolocation information from the city of New York is used. The aim of this heuristic is to meet the imminent network demands of the future in light of the expected lack of available hardware resources in future mobile networks. Our results suggest that the network provisioning strategy meet the requirements of traffic variability by reducing the number of active antennas by 13% and the network-blocking probability by 3.7%, as well as by maximizing the efficiency of the baseband unit (BBU) and quantifying the small cells (SCs) needed to meet network demands.

FA-CRAN: A Firefly Algorithm for Dynamic BBU-RRH Mapping in Cloud/Centralized Radio Access Networks

“…The tidal effect, known as the influence by predictable patterns of human movement with mobile devices, impacts in the network pattern [21].…”