Goodput Analysis and Link Adaptation for IEEE 802.11a Wireless LANs
IEEE Transactions on Mobile Computing
Routing in multi-radio, multi-hop wireless mesh networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Robust rate adaptation for 802.11 wireless networks
Proceedings of the 12th annual international conference on Mobile computing and networking
Passive data link layer 802.11 wireless device driver fingerprinting
USENIX-SS'06 Proceedings of the 15th conference on USENIX Security Symposium - Volume 15
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Energy consumption in mobile phones: a measurement study and implications for network applications
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
NAPman: network-assisted power management for wifi devices
Proceedings of the 8th international conference on Mobile systems, applications, and services
Catnap: exploiting high bandwidth wireless interfaces to save energy for mobile devices
Proceedings of the 8th international conference on Mobile systems, applications, and services
Predictable 802.11 packet delivery from wireless channel measurements
Proceedings of the ACM SIGCOMM 2010 conference
MIMO rate adaptation in 802.11n wireless networks
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Energy-constrained link adaptation for MIMO OFDM wireless communication systems
IEEE Transactions on Wireless Communications
Demystifying 802.11n power consumption
HotPower'10 Proceedings of the 2010 international conference on Power aware computing and systems
Tool release: gathering 802.11n traces with channel state information
ACM SIGCOMM Computer Communication Review
Avoiding the rush hours: WiFi energy management via traffic isolation
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
Self-constructive high-rate system energy modeling for battery-powered mobile systems
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
E-MiLi: energy-minimizing idle listening in wireless networks
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
Snooze: energy management in 802.11n WLANs
Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies
Proceedings of the 10th international conference on Mobile systems, applications, and services
DozyAP: power-efficient Wi-Fi tethering
Proceedings of the 10th international conference on Mobile systems, applications, and services
Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks
IEEE Journal on Selected Areas in Communications
Rate adaptation for 802.11 multiuser mimo networks
Proceedings of the 18th annual international conference on Mobile computing and networking
Energy-based rate adaptation for 802.11n
Proceedings of the 18th annual international conference on Mobile computing and networking
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Rate adaptation in WiFi networks has received significant attention recently. However, most existing work focuses on selecting the rate to maximize throughput. How to select a data rate to minimize energy consumption is an important yet under-explored topic. This problem is becoming increasingly important with the rapidly increasing popularity of MIMO deployment, because MIMO offers diverse rate choices (e.g., the number of antennas, the number of streams, modulation, and FEC coding) and selecting the appropriate rate has significant impact on power consumption. In this paper, we first use extensive measurement to develop a simple yet accurate energy model for 802.11n wireless cards. Then we use the models to drive the design of energy-aware rate adaptation scheme. A major benefit of a model-based rate adaptation is that applying a model allows us to eliminate frequent probes in many existing rate adaptation schemes so that it can quickly converges to the appropriate data rate. We demonstrate the effectiveness of our approach using trace-driven simulation and real implementation in a wireless testbed.