Wireless networking and mobile computing research center
Research Center Description
Wireless networking and mobile computing research center founded in 2014, it is with Computer Science and Engineering Department in Southern University of Science and Technology. The main target of this center is to conduct world-class research on wireless and mobile network, smart sensing, localization and mobile computing, wearable device and mobile healthcare, network economics.
The research center is supported by National Science Foundation of China, Guangdong Science Foundation, and The innovation of science and Technology Commission of Shenzhen Municipality. The research area is as follows:
Ø Next-generation wireless networks: the design and optimization of media access control and scheduling protocol in 802.11n, 802.11ac, 802.11ah-based next-generation Wi-Fi network; Protocol design and network optimization of low power wide area network e.g. Lora and NB-IOT; spectrum sensing and dynamic spectrum access on unlicensed band for cognitive devices.
Ø Network economics: Basing on the economical theory , e.g. auction, matching and game theory, analyze the behavior and decision making of multiple selfish agents in networks to solve several critical network issues such as cooperation and investment decision making of wireless service providers, dynamic spectrum sharing and trading, incentive mechanisms in cooperative communication and networking, task allocation and incentive mechanism in crowd sourcing systems and etc.
Ø Smart sensing and mobile computing: exploiting various sensors in mobile devices to sense, transmit and compute in real time. It can be widely used in smart phones and wearable devices to implement various innovative applications such as localization, monitoring, context awareness and human computer interaction. We will focus on the issues on sensing, transmission, computing, security.
Ø Wearable device and mobile healthcare: the development of wearable device, non-contact device and wireless transmission techniques enables healthcare monitoring, health status analysis, health intervention and disease prediction, finally, comprehensive and personalized health monitoring is achieved. We will study the key algorithm and techniques in this area.
The research center has been working on the above areas for several years and published a series of research papers in top international conference and journals, e.g. IEEE INFOCOM、IEEE／ACM Transactions on Networking, IEEE Transactions on Parallel and Distributed Systems、IEEE Transactions on Wireless Communications、IEEE Transactions on Mobile Computing.
Research Projects and Results
1.Joint VLC and Wi-Fi Localization
Indoor localization can enable indoor navigation, direction and user behavior analysis in shopping malls and other indoor scenarios, which has significant social demand and high commercial value. This work target at providing precise indoor localization basing on both visible light communication and Wi-Fi techniques, while the users only need to hold a smartphone. Leveraging the benefit of VLC localization and Wi-Fi localization, the precision of localization can be greatly improved.
2.Ultra-Sound Radar-based non-contact sleep respiratory and stress monitoring
Sleep monitoring and Stress monitoring is crucial for human health. In this work, we will propose a Ultra-Sound Radar-based non-contact sleep respiratory and stress monitoring algorithm and prototype. This novel technique is non-contact, therefore, will not intervene the normal sleep thus can dramatically enhance the user comfort level.
3.Matching-based distributed spectrum trading mechanism
Spectrum is a sparse resource for explosive wireless services. To enhance the spectrum utilization, spectrum trading is a effective method to enhance spectrum sharing. Traditional spectrum trading mechanism such as auction requires a central controller-auctioneer, which is not always available. In this work, a matching-based mechanism is proposed to achieve equally good social welfare performance while don't require control auctioneer any longer, thus more suitable for most distributed spectrum trading scenarios.