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 two modes { cached mode { where it uses prior radio survey data collected during idle” drives, and online mode, where it uses probing. The goal is to select the best AP and beam combination at each point along the drive given the available information, so that the throughput can be maxi- mized. For the cached mode, an optimal algorithm for AP and beam selection is developed that factors in all overheads. We provide extensive experimental results using a com- mercially available eight element phased-array antenna. In the experiments, we use controlled scenarios with our own APs, in two di erent multipath environments, as well as in situ scenarios, where we use APs already deployed in an ur- ban region { to demonstrate the performance advantage of using MobiSteer over using an equivalent omni-directional antenna. We show that MobiSteer improves the connec- tivity duration as well as PHY-layer data rate due to bet- ter SNR provisioning. In particular, MobiSteer improves the throughput in the controlled experiments by a factor of 2 { 4. In in situ experiments, it improves the connectivity duration by more than a factor of 2 and average SNR by about 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,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"navda","user_id":"33060"},{"type":"text","value":"Anand Prabhu Subramanian","user_id":0},{"type":"text","value":"Kannan Dhanasekaran","user_id":0},{"type":"text","value":"Andreas Timm-Giel","user_id":0},{"type":"text","value":"Samir Das","user_id":0}],"msr_publishername":"Association for Computing Machinery, Inc.","msr_publisher_other":"","msr_booktitle":"ACM MobiSys (Best Paper Award)","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"Copyright \u00a9 2007 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and\/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or permissions@acm.org. 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