S
Santosh Pandey
Researcher at Cisco Systems, Inc.
Publications - 71
Citations - 2656
Santosh Pandey is an academic researcher from Cisco Systems, Inc.. The author has contributed to research in topics: Wireless & Wireless network. The author has an hindex of 20, co-authored 69 publications receiving 2328 citations. Previous affiliations of Santosh Pandey include Telcordia Technologies & Auburn University.
Papers
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Journal ArticleDOI
CSI-Based Fingerprinting for Indoor Localization: A Deep Learning Approach
TL;DR: In this article, a deep-learning-based indoor fingerprinting system using channel state information (CSI) is presented, which includes an offline training phase and an online localization phase.
Proceedings ArticleDOI
DeepFi: Deep learning for indoor fingerprinting using channel state information
TL;DR: Experimental results are presented to confirm that DeepFi can effectively reduce location error compared with three existing methods in two representative indoor environments.
Journal ArticleDOI
IEEE 802.11af: a standard for TV white space spectrum sharing
TL;DR: The IEEE 802.11af standard is presented, which defines international specifications for spectrum sharing among unlicensed white space devices (WSDs) and licensed services in the TV white space band, and opens a new approach to treat spectrum as a single entity shared seamlessly by heterogeneous services.
Proceedings ArticleDOI
ARIADNE: a dynamic indoor signal map construction and localization system
TL;DR: This paper proposes a novel and automated location determination method called ARIADNE, using a two dimensional construction floor plan and only a single actual signal strength measurement, which generates an estimated signal strength map comparable to those generated manually by actual measurements.
Posted Content
CSI-based Fingerprinting for Indoor Localization: A Deep Learning Approach
TL;DR: Experimental results are presented to confirm that DeepFi can effectively reduce location error, compared with three existing methods in two representative indoor environments.