Title
Poster: Hawkeye - Predictive Positioning of a Ceiling-Mounted Mobile AP in mmWave WLANs for Maximizing Line-of-sight
Abstract
Line-of-sight (LOS) is a critical requirement for mmWave communication. In this work, we make the case for a ceilingmounted mobile (CMM) AP by comparing its performance with other types of AP mobility and single static AP. We then present Hawkeye to solve the optimal location discovery problem for a CMM AP using a machine learning (ML) algorithm. Hawkeye relies purely on the connectivity matrix between STAs and the AP to decide if and where the AP should move to for maximizing LOS connectivity. Using a prototype implementation, we show that the throughput of Hawkeye is 219% and 129% compared with single static AP and other approaches for AP mobility, respectively.
Year
DOI
Venue
2019
10.1145/3300061.3343395
MobiCom '19: The 25th Annual International Conference on Mobile Computing and Networking Los Cabos Mexico October, 2019
Keywords
DocType
ISBN
Infrastructure mobility,mmWave WiFi,CMM AP,ML
Conference
978-1-4503-6169-9
Citations 
PageRank 
References 
1
0.36
0
Authors
5
Name
Order
Citations
PageRank
Yubing Jian1274.62
Mohit Agarwal267.88
Yuchen Liu3275.08
Douglas M. Blough41393143.31
Raghupathy Sivakumar521.41