Jianbin Tang

Wireless IoT Platform Based on SDR Technology

In this demo, we will show the wireless Internet of Things (IoT) platform based on software defined radio (SDR) technology, and demonstrate its interference mitigation capability through cognitive radio technology. Video surveillance and temperature sensing are integrated on this platform as typical applications. This wireless platform is composed of the wireless edge appliance (WEA) as the base station and the wireless access appliance (WAA) as customer premises equipment (CPE). The WEA is based on a general IT device with general purpose processor (GPP), such as a laptop. Through unique optimization techniques, the base band signal processing can be completed on it with high speed. The WAA is an embedded system for low power and low cost. The Ethernet based interface between RRU and BBU is the first design with industry level in the world. Because its high flexibility, stability and reliability, the platform can be used as the basic communication infrastructure in IoT applications, such as smart grid, pipeline monitoring, etc.

Interference management for smart grid communication under cognitive wireless network

Wireless communication in smart grid is a typical scenario of Machine-to-Machine (M2M) communication. For a smart grid communication system, the requirements for stability, security and reliability are more strict than those for other M2M applications. Interference management is one of the key challenges to ensure the wireless system working with stability and reliability. The interferences may come from the existed SCADA (Supervisory Control and Data Acquisition) system, or some unknown devices using the same spectrum band occasionally. In this paper, we propose a novel mechanism for a WiMAX based system to manage various in-band interferences under cognitive environment, which are meaningful when there is no dedicated spectrum resource assigned for the new system or at the stage for system evolution from narrow band to broadband. We design the periodical sensing (PS) process during the normal wireless communication to obtain the realtime interference information and define the cross layer message between PHY and MAC to deliver the interference information to downlink and uplink respectively. Based on the time and frequency domain analysis for PS data, we classify received interferences into several types and execute corresponding management methods to reduce the influences caused by interferences. Through the field test in two cities, it proves that the interference management mechanism we proposed is effective.