Introduction
The research group aim at constructing the efficient sensing and transmission system for the Internet of Things applications. By thoroughly analyzing the architecture of the existing communication system and doing the innovative and creative research, we focus on the high quality service provision for massive IoT devices and applications, in terms of low latency and high reliability, based on the promising technologies such as edge computing, caching, and unique features of different networks. Combining with the cutting-edge communication technologies, our research includes the performance analysis for the complex networks as well as the optimal algorithm design to improve the spectrum efficiency of wireless networks, reduce the energy consumption, etc. The final goal is to provide the high efficient and intelligent sensing and transmission solutions for the implementation of IoT smart city.
Representative Research
High efficient communications and data collection to achieve ultra-reliable low-latency service requirement
With the development of communication technology, various applications such as smart grid, smart transportation, and automatic driving are emerging, which provide more convenient and efficient services for our life. These applications have a common quality of service requirement: Ultra-Reliable Low-Latency Communications (URLLC). The achievement of URLLC needs the support of technologies at different layers, including the physical layer, the coding, the transmission layer, resource allocation and scheduling, data collection technology at the application layer, etc. Cloud computing, edge computing and caching are promising technologies to achieve URLLC and they have attracted more and more attentions. Edge computing pushes the computation tasks to be performed at locations closer to the end users, which efficiently reduces the latency. Meanwhile, efficient caching enables the frequently used information to be stored near the end users, which greatly shortens the response time. However, with the considerations of the time-varying wireless channel, the heterogeneity of content requests, the limitation of caching capacity and the difference of computation power, how to conduct the efficient resource allocation and scheduling and to optimize the system performance and users’ behavior for achieving the service requirements of high reliability and low latency needs to be further studied. Cloud computing, edge computing, and caching technology In addition, effective and flexible data collection is another essential challenging issue in achieving high-reliability services. Mobile crowd sensing and crowdsourcing network are both efficient ways to collect data. They have been widely applied and recognized in various fields. By optimizing task allocation or selection and jointly considering the individual's location or features, high efficient and reliable data collection can be fulfilled. Mobile crowd sensing network In terms of data transmission, massive multiple input multiple output (MIMO) (i.e., large-scale antenna arrays) and full-duplex communications are effective technologies. However, there exist some challenging issues such as high cost, high power consumption, high overhead, and interference, etc. Large-scale MIMO antenna array and full-duplex [...]