In this work, we investigate the use of directional anten-
\nnas and beam steering techniques to improve performance
\nof 802.11 links in the context of communication between a
\nmoving vehicle and roadside APs. To this end, we develop
\na framework called MobiSteer that provides practical ap-
\nproaches to perform beam steering. MobiSteer can operate
\nin two modes { cached mode { where it uses prior radio
\nsurvey data collected during idle” drives, and online mode,
\nwhere it uses probing. The goal is to select the best AP and
\nbeam combination at each point along the drive given the
\navailable information, so that the throughput can be maxi-
\nmized. For the cached mode, an optimal algorithm for AP
\nand beam selection is developed that factors in all overheads.
\nWe provide extensive experimental results using a com-
\nmercially available eight element phased-array antenna. In
\nthe experiments, we use controlled scenarios with our own
\nAPs, in two di erent multipath environments, as well as in
\nsitu scenarios, where we use APs already deployed in an ur-
\nban region { to demonstrate the performance advantage of
\nusing MobiSteer over using an equivalent omni-directional
\nantenna. We show that MobiSteer improves the connec-
\ntivity duration as well as PHY-layer data rate due to bet-
\nter SNR provisioning. In particular, MobiSteer improves
\nthe throughput in the controlled experiments by a factor of
\n2 { 4. In in situ experiments, it improves the connectivity
\nduration by more than a factor of 2 and average SNR by
\nabout 15 dB.<\/p>\n","protected":false},"excerpt":{"rendered":"
In this work, we investigate the use of directional anten- nas and beam steering techniques to improve performance of 802.11 links in the context of communication between a moving vehicle and roadside APs. To this end, we develop a framework called MobiSteer that provides practical ap- proaches to perform beam steering. MobiSteer can operate in […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13552,13547],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-158544","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-hardware-devices","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"Association for Computing Machinery, Inc.","msr_edition":"ACM MobiSys (Best Paper 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