Centralized versus decentralized multi-cell resource and power allocation for multiuser OFDMA networks (bibtex)
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}
}
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