@misc{10481/65560,
year = {2020},
url = {http://hdl.handle.net/10481/65560},
abstract = {Mobile communications are growing and the number of users is constantly increasing at an
accelerated rate, as well as the demand for the services they request. In the last few years, many efforts have
focused on the design and deployment of the new fifth generation (5G) cellular networks. However, novel
highly demanding applications, which are already emerging, need to go beyond 5G in order to meet the
requirements in terms of network performance. But, at the same time, as the Earth does not allow us to
increase the carbon footprint anymore, the energy consumption of the communication networks has to be
critically taken into consideration. A multi-objective approach for addressing all these issues is therefore
required. This work develops a cellular network framework that allows the evaluation of different system
parameters over dynamic traffic patterns, as well as optimizing the different conflicting objectives
simultaneously. The novelty relies on that the optimization process integrates key performance indicators
from different layers of the network, namely the radio and the network layers, aiming at reaching solutions
that account for the power consumption of the base stations, the total capacity provided to mobile users and
also the signaling cost generated by handovers. Moreover, new metrics are needed to evaluate different
solutions. Starting from the well-known energy efficiency merit factor (bits/Joule), three new merit factors
are proposed to classify the network performance since they take into account several network parameters
at the same time. These indicators show us the ideal working point that can be used to plan the point of
operation of the network. These operation points are a medium-high power and capacity load and a low
signaling load.},
organization = {Spanish National Program of Research, Development, Innovation 	
TIN2016-75097-P
RTI2018-102002-A-I00
EQC2018-004988-P},
organization = {Junta de Andalucía

B-TIC-402-UGR18},
organization = {European Union (EU)

IB18003},
organization = {Junta de Extremadura 	
IB18003},
organization = {FPU19/01251},
organization = {FPU18/01965},
publisher = {IEEE Inst Electrical Electronics Engineers Inc},
keywords = {5G networks},
keywords = {Optimization},
keywords = {Heterogeneous Networks},
keywords = {Energy efficiency},
title = {Multilayer Network Optimization for 5G & 6G},
doi = {10.1109/ACCESS.2017.Doi Number},
author = {Ramírez Arroyo, Alejandro and Zapata Cano, Pablo Helio and Palomares Caballero, Ángel and Valenzuela Valdes, Juan Francisco},
}