Performance analysis of sleep mode mechanisms in the presence of bidirectional traffic

Authors:
Koen De Turck;Stijn De Vuyst;Dieter Fiems;Sabine Wittevrongel;Herwig Bruneel
Affiliations:
Ghent University, Department of Telecommunications and Information Processing, Sint-Pietersnieuwstraat 41, 9000 Ghent, Flanders, Belgium;Ghent University, Department of Telecommunications and Information Processing, Sint-Pietersnieuwstraat 41, 9000 Ghent, Flanders, Belgium;Ghent University, Department of Telecommunications and Information Processing, Sint-Pietersnieuwstraat 41, 9000 Ghent, Flanders, Belgium;Ghent University, Department of Telecommunications and Information Processing, Sint-Pietersnieuwstraat 41, 9000 Ghent, Flanders, Belgium;Ghent University, Department of Telecommunications and Information Processing, Sint-Pietersnieuwstraat 41, 9000 Ghent, Flanders, Belgium
Venue:
Computer Networks: The International Journal of Computer and Telecommunications Networking
Year:
2012

Citing 5
Cited 1

Improving IEEE 802.11 power saving mechanism

Wireless Networks
DRX mechanism for power saving in LTE

IEEE Communications Magazine
Reducing Power Consumption with QoS Constraints in IEEE 802.16e Wireless Networks

IEEE Transactions on Mobile Computing
A Survey on Mobile WiMAX [Wireless Broadband Access]

IEEE Communications Magazine
An analytic model of IEEE 802.16e sleep mode operation with correlated traffic

NEW2AN'07 Proceedings of the 7th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking

Editorial: Editorial for Computer Networks special issue on "Green communication networks"

Computer Networks: The International Journal of Computer and Telecommunications Networking

Quantified Score

Hi-index	0.00

Visualization

Abstract

Short battery life being a major impediment to a more widespread use of wireless devices, industry standards like WiMAX and 3GPP Long Term Evolution (LTE) embed power saving mechanisms in their protocol stack. Trading in network delay performance for extended battery life, these mechanisms require a careful balance to optimize overall network performance. Therefore, this paper assesses the impact of these mechanisms on network delay performance and battery life, thereby refining existing performance studies of the power saving mechanisms. In particular, this paper explicitly takes into account presence of both downlink and uplink traffic and their influence on the power saving mechanism. This contrasts with previous studies, where the analyses only accounted for downlink traffic. We obtain numerically efficient procedures to compute packet delay as well as energy efficiency characteristics under Markovian traffic. Then, performance of power saving is investigated by some numerical examples. Our results clearly indicate that uplink traffic heavily impacts the energy efficiency of the power saving mechanism.