Energy-based rate adaptation for 802.11n

Authors:
Chi-Yu Li;Chunyi Peng;Songwu Lu;Xinbing Wang
Affiliations:
University of California, Los Angeles, Los Angeles, CA, USA;University of California, Los Angeles, Los Angeles, CA, USA;University of California, Los Angeles, Los Angeles, CA, USA;Shanghai Jiao Tong University, Shanghai, China
Venue:
Proceedings of the 18th annual international conference on Mobile computing and networking
Year:
2012

Citing 14
Cited 4

Robust rate adaptation for 802.11 wireless networks

Proceedings of the 12th annual international conference on Mobile computing and networking
Cross-layer wireless bit rate adaptation

Proceedings of the ACM SIGCOMM 2009 conference on Data communication
A cross-layer approach to energy efficiency for adaptive MIMO systems exploiting spare capacity

IEEE Transactions on Wireless Communications
Predictable 802.11 packet delivery from wireless channel measurements

Proceedings of the ACM SIGCOMM 2010 conference
An analysis of power consumption in a smartphone

USENIXATC'10 Proceedings of the 2010 USENIX conference on USENIX annual technical conference
MIMO rate adaptation in 802.11n wireless networks

Proceedings of the sixteenth annual international conference on Mobile computing and networking
Rate Adaptation in Congested Wireless Networks through Real-Time Measurements

IEEE Transactions on Mobile Computing
Demystifying 802.11n power consumption

HotPower'10 Proceedings of the 2010 international conference on Power aware computing and systems
Strider: automatic rate adaptation and collision handling

Proceedings of the ACM SIGCOMM 2011 conference
Snooze: energy management in 802.11n WLANs

Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies
What is wrong/right with IEEE 802.11n Spatial Multiplexing Power Save feature?

ICNP '11 Proceedings of the 2011 19th IEEE International Conference on Network Protocols
Power consumption breakdown on a modern laptop

PACS'04 Proceedings of the 4th international conference on Power-Aware Computer Systems
Energy-constrained modulation optimization

IEEE Transactions on Wireless Communications
Round-robin scheduling for max-min fairness in data networks

IEEE Journal on Selected Areas in Communications

Characterizing and modeling the impact of wireless signal strength on smartphone battery drain

Proceedings of the ACM SIGMETRICS/international conference on Measurement and modeling of computer systems
Model-driven energy-aware rate adaptation

Proceedings of the fourteenth ACM international symposium on Mobile ad hoc networking and computing
Online energy consumption monitoring of wireless testbed infrastructure through the NITOS EMF framework

Proceedings of the 8th ACM international workshop on Wireless network testbeds, experimental evaluation & characterization
NITOS energy monitoring framework: real time power monitoring in experimental wireless network deployments

ACM SIGMOBILE Mobile Computing and Communications Review

Quantified Score

Hi-index	0.00

Visualization

Abstract

Rate adaptation (RA) has been used to achieve high goodput. In this work, we explore to use RA for energy efficiency in 802.11n NICs. We show that current MIMO RA algorithms are not energy efficient for NICs despite ensuring high throughput. The fundamental problem is that, the high-throughput setting is not equivalent to the energy-efficient one. Marginal throughput gain may be realized at high energy cost. We propose EERA, an energy-based RA solution that trades off goodput for energy savings at NICs. Our experiments have confirmed its energy savings at NICs while keeping the cost at the device level and across clients acceptable.