On Reducing Power Consumption of Transmitting Stations in 802.11 MIMO Networks
(2016) 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:
https://lup.lub.lu.se/record/8167683
- author
- Demir, M. Ozgun ; Karaca, Mehmet LU and Kurt, Gunes Karabulut
- organization
- publishing date
- 2016
- 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
- project
- ELLIIT LU P01: WP2 Networking solutions
- language
- English
- LU publication?
- yes
- id
- 18edbc4b-9242-4826-967b-ccd2cef3fa32 (old id 8167683)
- date added to LUP
- 2016-04-04 09:24:30
- date last changed
- 2022-01-29 17:43:55
@article{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}},
keywords = {{IEEE 802.11; power saving algorithm; dynamic RF configuration; Markov model; QoS preserving transmission}},
language = {{eng}},
number = {{2}},
pages = {{332--335}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
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}},
doi = {{10.1109/LCOMM.2015.2500223}},
volume = {{20}},
year = {{2016}},
}