mmWall: A Reconfigurable Metamaterial Surface for mmWave Networks
Kun Woo Cho, Mohammad Hossein Mazaheri, Jeremy Gummeson, Omid Abari,, Kyle Jamieson

TL;DR
This paper introduces mmWall, a reconfigurable metamaterial surface that enhances indoor mmWave network performance by enabling beam relays, multi-beam generation, and blockage mitigation, thus improving coverage and reliability.
Contribution
The paper presents the design and preliminary evaluation of a programmable metamaterial metasurface for dynamic beam steering and multi-beam control in mmWave networks.
Findings
Achieves 89.8% single-beam efficiency in steering
Supports multi-armed beams with 74.5% efficiency
Enables fast beam relay and blockage mitigation
Abstract
To support faster and more efficient networks, mobile operators and service providers are bringing 5G millimeter wave (mmWave) networks indoors. However, due to their high directionality, mmWave links are extremely vulnerable to blockage by walls and human mobility. To address these challenges, we exploit advances in artificially engineered metamaterials, introducing a wall-mounted smart metasurface, called mmWall, that enables a fast mmWave beam relay through the wall and redirects the beam power to another direction when a human body blocks a line-of-sight path. Moreover, our mmWall supports multiple users and fast beam alignment by generating multi-armed beams. We sketch the design of a real-time system by considering (1) how to design a programmable, metamaterial-based surface that refracts the incoming signal to one or more arbitrary directions, and (2) how to split an incoming…
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
Methodstravel james
