Integer and combinatorial optimization
Integer and combinatorial optimization
Directional virtual carrier sensing for directional antennas in mobile ad hoc networks
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Transmission scheduling in ad hoc networks with directional antennas
Proceedings of the 8th annual international conference on Mobile computing and networking
Using directional antennas for medium access control in ad hoc networks
Proceedings of the 8th annual international conference on Mobile computing and networking
A MAC protocol for full exploitation of directional antennas in ad-hoc wireless networks
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
On the capacity improvement of ad hoc wireless networks using directional antennas
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Fundamentals of wireless communication
Fundamentals of wireless communication
MobiSteer: using steerable beam directional antenna for vehicular network access
Proceedings of the 5th international conference on Mobile systems, applications and services
3G Evolution, Second Edition: HSPA and LTE for Mobile Broadband
3G Evolution, Second Edition: HSPA and LTE for Mobile Broadband
R2D2: regulating beam shape and rate as directionality meets diversity
Proceedings of the 7th international conference on Mobile systems, applications, and services
DIRC: increasing indoor wireless capacity using directional antennas
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Adaptive RF chain management for energy-efficient spatial-multiplexing MIMO transmission
Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design
A cross-layer approach to energy efficiency for adaptive MIMO systems exploiting spare capacity
IEEE Transactions on Wireless Communications
On the effectiveness of switched beam antennas in indoor environments
PAM'08 Proceedings of the 9th international conference on Passive and active network measurement
Power-efficient directional wireless communication on small form-factor mobile devices
Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design
Design and experimental evaluation of multi-user beamforming in wireless LANs
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Pushing the envelope of indoor wireless spatial reuse using directional access points and clients
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Directional antenna diversity for mobile devices: characterizations and solutions
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Demystifying 802.11n power consumption
HotPower'10 Proceedings of the 2010 international conference on Power aware computing and systems
Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks
IEEE Journal on Selected Areas in Communications
A framework for uplink power control in cellular radio systems
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
Argos: practical many-antenna base stations
Proceedings of the 18th annual international conference on Mobile computing and networking
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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.