YoVDO

Towards Programming the Radio Environment with Large Arrays of Inexpensive Antennas

Offered By: USENIX via YouTube

Tags

USENIX Symposium on Networked Systems Design and Implementation (NSDI) Courses Algorithm Design Courses Network Design Courses Wireless Communications Courses

Course Description

Overview

Explore a groundbreaking approach to wireless network design in this 23-minute conference talk from NSDI '19. Discover how instrumenting the environment with a Large Array of Inexpensive Antennas (LAIA) can reconfigure wireless channels in real-time, challenging conventional endpoint optimization methods. Learn about the innovative channel decomposition algorithm that estimates environmental wireless channels and aligns array element phases. Examine the system's ability to optimize channels for single- and multi-antenna links, as well as adjacent frequency band networks. Delve into the results of a 36-element passive array deployment in a real indoor home environment, showcasing significant improvements in TCP throughput and Shannon capacity for both single- and multi-antenna links. Gain insights into the challenges, implementation, and potential impact of this novel approach on the future of wireless communication.

Syllabus

Intro
Fundamental problem
Large array of inexpensive antennas (LAIA)
Challenges
Two-probe channel decomposition algorithm
Multi-element case: how to decompose?
Channel alignment
Strawman solution: exhaustive search
Implementation and deployment
Micro-benchmark: controllability
LAIA increases 4x4 MIMO channel capacity
x4: LAIA helps channel conditioning but not SNR
Conclusion


Taught by

USENIX

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