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- research-articleJuly 2022
A Review of Millimeter Wave Device-Based Localization and Device-Free Sensing Technologies and Applications
- Anish Shastri,
- Neharika Valecha,
- Enver Bashirov,
- Harsh Tataria,
- Michael Lentmaier,
- Fredrik Tufvesson,
- Michele Rossi,
- Paolo Casari
IEEE Communications Surveys & Tutorials (IEEE_ICST), Volume 24, Issue 3Pages 1708–1749https://doi.org/10.1109/COMST.2022.3177305The commercial availability of low-cost millimeter-wave (mmWave) communication and radar devices is starting to improve the adoption of such technologies in consumer markets, paving the way for large-scale and dense deployments in fifth-generation (5G)-...
- research-articleApril 2022
Millimeter Wave Localization with Imperfect Training Data using Shallow Neural Networks
2022 IEEE Wireless Communications and Networking Conference (WCNC)Pages 674–679https://doi.org/10.1109/WCNC51071.2022.9771668Millimeter wave (mmWave) localization algorithms exploit the quasi-optical propagation of mmWave signals, which yields sparse angular spectra at the receiver. Geometric approaches to angle-based localization typically require to know the map of the ...
- research-articleDecember 2018
On the Implementation of LMS-based Algorithm for Increasing the Lifetime of IoT Networks
2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)Pages 1–6https://doi.org/10.1109/ANTS.2018.8710117This paper focuses on the customized-wireless sensor node implementation of the classical least mean square (LMS) algorithm for the reduction in data-transmissions from the sensor nodes to the sink in internet of things (IoT) networks. This reduction, in ...
