Intelligent Autonomous User Discovery and Link Maintenance for mmWave and TeraHertz Devices with Directional Antennas

Use of smart directional antennas in handheld devices to generate a narrow beam in different directions for mmWave/TeraHertz communications present significant challenges. Devices using such antennas may have to scan several different directions in three-dimensional (3D) space to discover another us...

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Bibliographic Details
Published in:IEEE transactions on cognitive communications and networking 2021-12, Vol.7 (4), p.1-1
Main Authors: Khan, Zaheer, Lehtomaki, Janne J., Selis, Valerio, Ahmadi, Hamed, Marshall, Alan
Format: Article
Language:English
Subjects:
Ad hoc networks
Adaptive algorithms
directional antenna
Directional antennas
Directive antennas
IMU sensor
Inertial platforms
Inertial sensing devices
Millimeter waves
mmWave
orientation
Performance evaluation
predictions
Rotation
Solid modeling
teraHertz
Three-dimensional displays
Two dimensional displays
Wireless networks
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Summary:Use of smart directional antennas in handheld devices to generate a narrow beam in different directions for mmWave/TeraHertz communications present significant challenges. Devices using such antennas may have to scan several different directions in three-dimensional (3D) space to discover another user or an access point, a process that can result in problematic delays. Moreover, small movements of a user/device in the form of rotation and/or displacement may cause the discovered link to be lost. This paper proposes adaptive link discovery algorithms for devices in both infrastructure/ad hoc networks and evaluates their performance in terms of time-to-discovery. We show that one of the two proposed methods provides guaranteed discovery. We use an inertial measurement unit sensor to help intelligently rediscover a lost/degraded link. We propose sensor assisted link prediction methods for low-latency rediscovery in 3D space. We evaluate the effectiveness of our prediction-based rediscovery methods by testing them with real datasets representing various user/device 3D rotation patterns. We show that the smoothing based rediscovery can reach the prediction accuracy to 100% when two antenna sectors are searched, and it reduces the time-to-rediscovery by up to Sx (S times) as compared to the time-to-discovery, where S is the number of antenna sectors.
ISSN:2332-7731
2332-7731
DOI:10.1109/TCCN.2021.3071142