Optimization models for the joint Power-Delay minimization problem in green wireless access networks (bibtex)
by Farah Moety, Samer Lahoud, Bernard Cousin, Kinda Khawam
Abstract:
Abstract In wireless access networks, one of the most recent challenges is reducing the power consumption of the network, while preserving the quality of service perceived by users. Hence, mobile operators are rethinking their network design by considering two objectives, namely, saving power and guaranteeing a satisfactory quality of service. Since these objectives are conflicting, a tradeoff becomes inevitable. We formulate a multi-objective optimization with aims of minimizing the network power consumption and transmission delay. Power saving is achieved by adjusting the operation mode of the network base stations from high transmit power levels to low transmit levels or even sleep mode. Minimizing the transmission delay is achieved by selecting the best user association with the network base stations. In this article, we cover two different technologies: \IEEE\ 802.11 and LTE. Our formulation captures the specificity of each technology in terms of the power model and radio resource allocation. After exploring typical multi-objective approaches, we resort to a weighted sum mixed integer linear program. This enables us to efficiently tune the impact of the power and delay objectives. We provide extensive simulations for various preference settings that enable to assess the tradeoff between power and delay in \IEEE\ 802.11 \WLANs\ and \LTE\ networks. We show that for a power minimization setting, a \WLAN\ consumes up to 16% less power than legacy solutions. A thorough analysis of the optimization results reveals the impact of the network topology, particularly the inter-cell distance, on both objectives. For an \LTE\ network, we assess the impact of urban, rural and realistic deployments on the achievable tradeoffs. The power savings mainly depend on user distribution and the power consumption of the sleep mode. Compared with legacy solutions, we obtained power savings of up to 22.3% in a realistic \LTE\ networks. When adequately tuned, our optimization approach reduces the transmission delay by up to 6% in a \WLAN\ and 8% in an \LTE\ network.
Reference:
Optimization models for the joint Power-Delay minimization problem in green wireless access networks (Farah Moety, Samer Lahoud, Bernard Cousin, Kinda Khawam), In Computer Networks, volume 92, Part 1, 2015.
Bibtex Entry:
@Article{	  moety:2015sj,
  abstract	= {Abstract In wireless access networks, one of the most
		  recent challenges is reducing the power consumption of the
		  network, while preserving the quality of service perceived
		  by users. Hence, mobile operators are rethinking their
		  network design by considering two objectives, namely,
		  saving power and guaranteeing a satisfactory quality of
		  service. Since these objectives are conflicting, a tradeoff
		  becomes inevitable. We formulate a multi-objective
		  optimization with aims of minimizing the network power
		  consumption and transmission delay. Power saving is
		  achieved by adjusting the operation mode of the network
		  base stations from high transmit power levels to low
		  transmit levels or even sleep mode. Minimizing the
		  transmission delay is achieved by selecting the best user
		  association with the network base stations. In this
		  article, we cover two different technologies: \{IEEE\}
		  802.11 and LTE. Our formulation captures the specificity of
		  each technology in terms of the power model and radio
		  resource allocation. After exploring typical
		  multi-objective approaches, we resort to a weighted sum
		  mixed integer linear program. This enables us to
		  efficiently tune the impact of the power and delay
		  objectives. We provide extensive simulations for various
		  preference settings that enable to assess the tradeoff
		  between power and delay in \{IEEE\} 802.11 \{WLANs\} and
		  \{LTE\} networks. We show that for a power minimization
		  setting, a \{WLAN\} consumes up to 16% less power than
		  legacy solutions. A thorough analysis of the optimization
		  results reveals the impact of the network topology,
		  particularly the inter-cell distance, on both objectives.
		  For an \{LTE\} network, we assess the impact of urban,
		  rural and realistic deployments on the achievable
		  tradeoffs. The power savings mainly depend on user
		  distribution and the power consumption of the sleep mode.
		  Compared with legacy solutions, we obtained power savings
		  of up to 22.3% in a realistic \{LTE\} networks. When
		  adequately tuned, our optimization approach reduces the
		  transmission delay by up to 6% in a \{WLAN\} and 8% in an \{LTE\} network. },
  author	= {Farah Moety and Samer Lahoud and Bernard Cousin and Kinda
		  Khawam},
  doi		= {http://dx.doi.org/10.1016/j.comnet.2015.09.032},
  issn		= {1389-1286},
  journal	= {Computer Networks},
  keywords	= {User association},
  pages		= {148 - 167},
  pdf		= {http://samer.lahoud.fr/pub-pdf/comnet-15.pdf},
  title		= {Optimization models for the joint Power-Delay minimization
		  problem in green wireless access networks},
  volume	= {92, Part 1},
  year		= {2015}
}
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