Browsing by Author "Gholampooryazdi, Bahareh"

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5G Ubiquitous Sensing: Passive Environmental Perception in Cellular Systems
(2018) Gholampooryazdi, Bahareh; Singh, Isha; Sigg, Stephan
A4 Artikkeli konferenssijulkaisussa
While most RF-sensing approaches proposed in the literature rely on short-distance indoor point-to- point instrumentations, actual large-scale installation of RF sensing suggests the use of ubiquitously available cellular systems. In particular, the 5th generation of the wireless communication standard (5G) is envisioned as a universal communication means also for Internet of Things devices. In this paper, we investigate environmental perception capabilities in cellular systems, with a special focus on the upcoming 5G communications standard. In particular, we analyze the perception capabilities of existing cellular installations in the GSM band, which is expected to be used for 5G IoT. Our instrumentation exploits a passive system capitalizing on environmental RF-noise. In addition, utilizing a prototypical 5G system with 52 OFDM carriers over 12.48 MHz bandwidth at 3.45 GHz, we consider the impact of the number and choice of channels and compare the recognition performance with acceleration-based sensing. Our results in realistic settings with five subjects suggest that accurate recognition of activities and environmental situations can be a reliable implicit service of future 5G installations.
Walking Speed Detection from 5G prototype System
(2017-05-22) Gholampooryazdi, Bahareh
Sähkötekniikan korkeakoulu | Master's thesis
While most RF-sensing approaches proposed in the literature rely on short-distance indoor point-to-point instrumentation, actual large-scale installation of RF sensing suggests the use of ubiquitously available cellular systems. In particular, the 5th generation of the wireless communication standard (5G) is envisioned as a universal communication means also for Internet of Things devices. This thesis presents an investigation of device-free environmental perception capabilities in a 5G prototype system in two cases; walking speed and human presence detection, and elaborate a comparison with the former case and acceleration sensing analysis. This thesis attempts to analyze the perception capabilities of 5G system in order to recognize human mostly common activities and presence detection near transceiver devices which the instrumentation exploits a device-free system capable of detect activities without carrying devices capitalizing on environmental RF-noise. This is done via the study of existing and related literature. After that, the implementation and evaluation of walking speed and presence detection is described in details. In addition, evaluation consists of utilizing a prototypical 5G system with 52 OFDM carriers over 12.48 MHz bandwidth at 3.45 GHz, which we consider the impact of the number and choice of channels and compare the recognition performance with acceleration-based sensing. It was concluded that in realistic settings with five subjects, accurate recognition of activities and environmental situations can be a reliable implicit service of future 5G installations.