Title
Mitigating Lateral Interference: Adaptive Beam Switching for Robust Millimeter-Wave Networks.
Abstract
Putting into practice "pseudo-wire" links in wireless millimeter-wave (mm-wave) networks is challenging due to the significant side lobes of consumer-grade phased antenna arrays. Nodes should steer their beams such that they maximize the signal gain but also minimize interference from lateral directions via both their main lobe and their side lobes. Most importantly, interference can be caused by parallel operation of incompatible standards such as WiGig and IEEE 802.11ad and may change very fast. This timing requirement, prevents the use of existing beam switching solutions to mitigate interference. In this paper, we present an adaptive beam switching (ABS) mechanism that can deal with the above timescale issue in rapidly changing interference scenarios. Instead of performing a full beam sweep, the key idea is to only probe beampatterns at the receiver which are likely to avoid interference. In contrast to earlier work, our mechanism does not require any location information nor a detailed shape of the beampatterns. We exploit similarities among side lobes of beampatterns to estimate the performance of all beampatterns without sending extensive probes. To evaluate our mechanism in practice, we develop a customized research platform that allows us to control the beam-selection on low-cost IEEE 802.11ad routers. Experimental results with WiGig transceivers as interference source show that our adaptive beam switching mechanism achieves an average throughput gain of 60% and decreases the training time by 82.4% compared to the original IEEE 802.11ad behavior.
Year
DOI
Venue
2017
10.1145/3130242.3130244
MobiCom '17: The 23rd Annual International Conference on Mobile Computing and Networking Snowbird Utah USA October, 2017
DocType
ISBN
Citations 
Conference
978-1-4503-5143-0
1
PageRank 
References 
Authors
0.36
0
5
Name
Order
Citations
PageRank
Daniel Steinmetzer1698.50
Adrian Loch28314.54
Amanda García-García321.72
Jörg Widmer43924328.38
Matthias Hollick575097.29