A5064178874- IoT Networks and Protocols
- Energy Harvesting in Wireless Networks
- Wireless Signal Modulation Classification
- Wireless Body Area Networks
- Full-Duplex Wireless Communications
- Bluetooth and Wireless Communication Technologies
Ghent University
2018-2019
Long-range sub-GHz technologies such as LoRaWAN, SigFox, IEEE 802.15.4, and DASH7 are increasingly popular for academic research daily life applications. However, especially in the European Union (EU), use of their corresponding frequency bands tightly regulated, since they must confirm to short-range device (SRD) regulations. Regulations standards SRDs exist on various levels, from global national, but often a source confusion. Not only multiple institutes responsible drafting legislation...
This paper presents a Convolutional Neural Network (CNN) approach for classification of low power wide area network (LPWAN) technologies such as Sigfox, LoRA and IEEE 802.15.4g. Since the operate in unlicensed sub-GHz bands, their transmissions can interfere with each other significantly degrade performance. situation further intensifies when density increases which will be case future LPWANs. In this regard, it becomes essential to classify coexisting so that impact interference minimized...
Sub-one GHz technologies are getting utilized for different applications in home automation and smart cities, due to their long coverage range support large number of end devices. Due used by device vendors, the impact each technology on other needs be assessed environments where multiple most time they coexisting with other. In this paper, we show an inter-technology interference measurement setup LoRa, Sigfox, Z-Wave IO Home Control. setup, packet transmissions controllable frequency, that...
This paper demonstrates a Convolutional Neural Network (CNN) based mechanism for identification of low power wide area network (LPWAN) technologies such as LoRA, Sigfox, and IEEE 802.15.4g. Since the operate in unlicensed bands can interfere with each other, it becomes essential to identify (or interference general) so that impact be minimized by better managing spectrum. Contrary traditional rule-based mechanisms, we use Networks (CNNs) identification, which do not require any domain...