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},
bdsk-url-1 = {http://dx.doi.org/10.1016/j.comnet.2015.09.032}}