A machine learning approach for localization in cellular environments
A machine learning approach is developed for localization based on received signal strength (RSS) from cellular towers. The proposed approach only assumes knowledge of RSS fingerprints of the environment, and does not require knowledge of the cellular base transceiver station (BTS) locations, nor us...
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| Other Authors: | , |
| Format: | conferenceObject |
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2018
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| Online Access: | http://hdl.handle.net/10725/11237 http://dx.doi.org/10.1109/PLANS.2018.8373508 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ieeexplore.ieee.org/abstract/document/8373508 |
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