RFocus: Practical Beamforming for Small Devices
Venkat Arun, Hari Balakrishnan

TL;DR
RFocus introduces an environment-based beamforming surface that enhances signal strength and capacity for small, inexpensive devices by dynamically reflecting signals, overcoming size limitations of traditional antenna arrays.
Contribution
It presents a novel, low-cost, wallpaper-like surface that uses simple elements and a software algorithm to optimize signal reflection for improved wireless communication.
Findings
Median signal strength increased by 10.5x
Median channel capacity increased by 2.1x
Requires no wiring or power emission from the surface
Abstract
To reduce transmit power, increase throughput, and improve communication range, radio systems---such as IoT sensor networks, Wi-Fi and cellular networks---benefit from the ability to direct their signals, to ensure that more of the transmitted power reaches the receiver. Many modern systems beamform with antenna arrays for this purpose. However, a radio's ability to direct its signal is fundamentally limited by its size. Unfortunately practical challenges limit the size of modern radios, and consequently, their ability to beamform. In many settings, radios on devices must be small and inexpensive; today, these settings are unable to benefit from high-precision beamforming. To address this problem, we introduce RFocus, which moves beamforming functions from the radio endpoints to the environment. RFocus includes a two-dimensional surface with a rectangular array of simple elements,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAntenna Design and Analysis · Energy Harvesting in Wireless Networks · Indoor and Outdoor Localization Technologies
