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On Reducing Power Consumption of Transmitting Stations in 802.11 MIMO Networks

Demir, M. Ozgun; Karaca, Mehmet LU and Kurt, Gunes Karabulut (2015) In IEEE Communications Letters 20(2). p.332-335
Abstract
We propose an online algorithm for energy minimization of transmitting stations in IEEE 802.11 wireless local area networks (WLANs). Our algorithm configures radio frequency (RF) parameters such as the number of transmitting antennas based on the real-time traffic demand and channel measurements so that the power consumption of the device is reduced and the minimum data rate requirements of stations at a target error rate are satisfied. The transition between different RF configurations is theoretically investigated by employing a

2D Markov model. Using an 802.11ac hardware testbed, we experimentally demonstrate that the power consumption of a transmitting station can be reduced up to 33%. We also validate that the experimental... (More)
We propose an online algorithm for energy minimization of transmitting stations in IEEE 802.11 wireless local area networks (WLANs). Our algorithm configures radio frequency (RF) parameters such as the number of transmitting antennas based on the real-time traffic demand and channel measurements so that the power consumption of the device is reduced and the minimum data rate requirements of stations at a target error rate are satisfied. The transition between different RF configurations is theoretically investigated by employing a

2D Markov model. Using an 802.11ac hardware testbed, we experimentally demonstrate that the power consumption of a transmitting station can be reduced up to 33%. We also validate that the experimental and the theoretical results closely match (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
IEEE 802.11, power saving algorithm, dynamic RF configuration, Markov model, QoS preserving transmission
in
IEEE Communications Letters
volume
20
issue
2
pages
332 - 335
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • WOS:000370876500034
  • Scopus:84959324949
ISSN
1089-7798
DOI
10.1109/LCOMM.2015.2500223
language
English
LU publication?
yes
id
18edbc4b-9242-4826-967b-ccd2cef3fa32 (old id 8167683)
date added to LUP
2015-11-09 12:59:59
date last changed
2016-10-13 04:29:58
@misc{18edbc4b-9242-4826-967b-ccd2cef3fa32,
  abstract     = {We propose an online algorithm for energy minimization of transmitting stations in IEEE 802.11 wireless local area networks (WLANs). Our algorithm configures radio frequency (RF) parameters such as the number of transmitting antennas based on the real-time traffic demand and channel measurements so that the power consumption of the device is reduced and the minimum data rate requirements of stations at a target error rate are satisfied. The transition between different RF configurations is theoretically investigated by employing a<br/><br>
2D Markov model. Using an 802.11ac hardware testbed, we experimentally demonstrate that the power consumption of a transmitting station can be reduced up to 33%. We also validate that the experimental and the theoretical results closely match},
  author       = {Demir, M. Ozgun and Karaca, Mehmet and Kurt, Gunes Karabulut},
  issn         = {1089-7798},
  keyword      = {IEEE 802.11,power saving algorithm,dynamic RF configuration,Markov model,QoS preserving transmission},
  language     = {eng},
  number       = {2},
  pages        = {332--335},
  publisher    = {ARRAY(0x90b8018)},
  series       = {IEEE Communications Letters},
  title        = {On Reducing Power Consumption of Transmitting Stations in 802.11 MIMO Networks},
  url          = {http://dx.doi.org/10.1109/LCOMM.2015.2500223},
  volume       = {20},
  year         = {2015},
}