We consider an environment strongly affected by the presence of metallic objects, that can be considered representative of an indoor industrial environment with metal obstacles. This scenario is a very harsh environment where radio communication has notorious difficulties, as metallic objects create a strong blockage component and surfaces are highly reflective. In this environment, we investigate how to dynamically allocate MAC resources in time to static and mobile users based on context awareness extracted from a legacy WiFi positioning system. In order to address this problem, we integrate our WiFi ranging and positioning system in the WiSHFUL architecture and then define a hypothesis test to declare if the link is in line-of-sight (LOS) or non-line-of-sight (NLOS) based on angular information derived from ranging and position information. We show that context information can help increase the network throughput in the above industrial-like scenario.

Rea M., Garlisi D., Cordobes H., Giustiniano D. (2019). Location-aware MAC scheduling in industrial-like environment. In G.M. Victor Sucasas (a cura di), Broadband Communications, Networks, and Systems 9th International EAI Conference, Broadnets 2018, Faro, Portugal, September 19–20, 2018, Proceedings (pp. 201-211). Springer Verlag [10.1007/978-3-030-05195-2_20].

Location-aware MAC scheduling in industrial-like environment

Garlisi D.;
2019

Abstract

We consider an environment strongly affected by the presence of metallic objects, that can be considered representative of an indoor industrial environment with metal obstacles. This scenario is a very harsh environment where radio communication has notorious difficulties, as metallic objects create a strong blockage component and surfaces are highly reflective. In this environment, we investigate how to dynamically allocate MAC resources in time to static and mobile users based on context awareness extracted from a legacy WiFi positioning system. In order to address this problem, we integrate our WiFi ranging and positioning system in the WiSHFUL architecture and then define a hypothesis test to declare if the link is in line-of-sight (LOS) or non-line-of-sight (NLOS) based on angular information derived from ranging and position information. We show that context information can help increase the network throughput in the above industrial-like scenario.
Settore ING-INF/03 - Telecomunicazioni
Rea M., Garlisi D., Cordobes H., Giustiniano D. (2019). Location-aware MAC scheduling in industrial-like environment. In G.M. Victor Sucasas (a cura di), Broadband Communications, Networks, and Systems 9th International EAI Conference, Broadnets 2018, Faro, Portugal, September 19–20, 2018, Proceedings (pp. 201-211). Springer Verlag [10.1007/978-3-030-05195-2_20].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10447/439319
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