TY - GEN
T1 - Beamforming on mobile devices
T2 - 17th Annual International Conference on Mobile Computing and Networking, MobiCom'11 and Co-Located Workshops
AU - Yu, Hang
AU - Zhong, Lin
AU - Sabharwal, Ashutosh
AU - Kao, David
PY - 2011
Y1 - 2011
N2 - In this work, we report the first study of an important realization of directional communication, beamforming, on mobile devices. We first demonstrate that beamforming is already feasible on mobile devices in terms of form factor, device mobility and power efficiency. Surprisingly, we show that by making an increasingly profitable tradeoff between transmit and circuit power, beamforming with state-of-the-art integrated CMOS implementations can be more power-efficient than its single antenna counterpart. We then investigate the optimal way of using beamforming in terms of device power efficiency, by allowing a dynamic number of active antennas. We propose a simple yet effective solution, BeamAdapt, which allows each mobile client in a network to individually identify the optimal number of active antennas with guaranteed convergence and close-to-optimal performance. We finally report a WARP-based prototype of BeamAdapt and experimentally demonstrate its effectiveness in realistic environments, and then complement the prototype-based experiments with Qualnet-based simulation of a large-scale network. Our results show that BeamAdapt with four antennas can reduce the power consumption of mobile clients by more than half compared to a single antenna, while maintaining a required network throughput.
AB - In this work, we report the first study of an important realization of directional communication, beamforming, on mobile devices. We first demonstrate that beamforming is already feasible on mobile devices in terms of form factor, device mobility and power efficiency. Surprisingly, we show that by making an increasingly profitable tradeoff between transmit and circuit power, beamforming with state-of-the-art integrated CMOS implementations can be more power-efficient than its single antenna counterpart. We then investigate the optimal way of using beamforming in terms of device power efficiency, by allowing a dynamic number of active antennas. We propose a simple yet effective solution, BeamAdapt, which allows each mobile client in a network to individually identify the optimal number of active antennas with guaranteed convergence and close-to-optimal performance. We finally report a WARP-based prototype of BeamAdapt and experimentally demonstrate its effectiveness in realistic environments, and then complement the prototype-based experiments with Qualnet-based simulation of a large-scale network. Our results show that BeamAdapt with four antennas can reduce the power consumption of mobile clients by more than half compared to a single antenna, while maintaining a required network throughput.
KW - beamadapt
KW - beamforming
KW - mobile devices
KW - power efficiency
UR - http://www.scopus.com/inward/record.url?scp=80053614630&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053614630&partnerID=8YFLogxK
U2 - 10.1145/2030613.2030643
DO - 10.1145/2030613.2030643
M3 - Conference contribution
AN - SCOPUS:80053614630
SN - 9781450304924
T3 - Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
SP - 265
EP - 276
BT - MobiCom'11 - Proceedings of the 17th Annual International Conference on Mobile Computing and Networking and Co-Located Workshops
Y2 - 19 September 2011 through 23 September 2011
ER -