by Mohamad Yassin, Samer Lahoud, Kinda Khawam, Marc Ibrahim, Dany Mezher, Bernard Cousin
Abstract:
Abstract The exponential growth in the usage of mobile networks along with the increasing number of User Equipments (UEs) are exacerbating the scarcity of frequency resources. Dense frequency reuse on the downlink of multiuser Orthogonal Frequency Division Multiple Access networks leads to severe Inter-Cell Interference (ICI) problems. Resource and power allocation techniques are required to alleviate the harmful impact of ICI. Contrarily to the existing techniques that consider single-cell resource and power allocation problem without taking \ICI\ into account, we formulate a centralized downlink multi-cell joint resource and power allocation problem. The objective is to maximize system throughput while guaranteeing throughput fairness between UEs. We demonstrate that the joint problem is separable into two independent problems: a resource allocation problem and a power allocation problem. Lagrange duality theory is used to solve the centralized power allocation problem. We also tackle the resource and power allocation problem differently by addressing it in a decentralized manner. We propose a non-cooperative downlink power allocation approach based on game theory. The players are the base stations, and each base station seeks to maximize its own utility function. We investigate the convergence of our proposed centralized and decentralized approaches, and we compare their performance with that of state-of-the-art approaches.
Reference:
Centralized versus decentralized multi-cell resource and power allocation for multiuser OFDMA networks (Mohamad Yassin, Samer Lahoud, Kinda Khawam, Marc Ibrahim, Dany Mezher, Bernard Cousin), In Computer Communications, volume 107, 2017.
Bibtex Entry:
@article{yassin:2017mz,
abstract = {Abstract The exponential growth in the usage of mobile
networks along with the increasing number of User
Equipments (UEs) are exacerbating the scarcity of frequency
resources. Dense frequency reuse on the downlink of
multiuser Orthogonal Frequency Division Multiple Access
networks leads to severe Inter-Cell Interference (ICI)
problems. Resource and power allocation techniques are
required to alleviate the harmful impact of ICI. Contrarily
to the existing techniques that consider single-cell
resource and power allocation problem without taking
\{ICI\} into account, we formulate a centralized downlink
multi-cell joint resource and power allocation problem. The
objective is to maximize system throughput while
guaranteeing throughput fairness between UEs. We
demonstrate that the joint problem is separable into two
independent problems: a resource allocation problem and a
power allocation problem. Lagrange duality theory is used
to solve the centralized power allocation problem. We also
tackle the resource and power allocation problem
differently by addressing it in a decentralized manner. We
propose a non-cooperative downlink power allocation
approach based on game theory. The players are the base
stations, and each base station seeks to maximize its own
utility function. We investigate the convergence of our
proposed centralized and decentralized approaches, and we
compare their performance with that of state-of-the-art
approaches. },
author = {Mohamad Yassin and Samer Lahoud and Kinda Khawam and Marc Ibrahim and Dany Mezher and Bernard Cousin},
doi = {https://doi.org/10.1016/j.comcom.2017.04.002},
issn = {0140-3664},
journal = {Computer Communications},
keywords = {OFDMA},
pages = {112 - 124},
pdf = {http://samer.lahoud.fr/pub-pdf/comcom-17.pdf},
title = {Centralized versus decentralized multi-cell resource and power allocation for multiuser OFDMA networks},
volume = {107},
year = {2017},
bdsk-url-1 = {https://doi.org/10.1016/j.comcom.2017.04.002}}