Broadband Access Wireless Communications
Tongtong Li | tongli@egr.msu.edu | www.egr.msu.edu/bawc
Research in the Broadband Access Wireless Communications (BAWC) Laboratory includes signal processing and data analysis for neuroscience, wireless and wired communications, statistical signal processing in communications, wireless security, and information theory and coding theory.
Secure and Efficient Wireless Communications
As people are relying more and more on wireless networks for critical information transmission, the ubiquitous wireless interconnectivity has also provided a primary conduit for malicious agents to exploit vulnerabilities on a widespread basis. Reliability has become an urgent issue and a great concern in both civilian and military wireless communications. Reliability includes both security performance (e.g. information confidentiality and jamming resistance) and system performance (e.g. error probability and distortion between the input and output signals). Very often, reliability is achieved at the cost of lower spectral efficiency. A natural but fundamental problem: given the fixed spectrum, how to design wireless systems which are both highly efficient and reliable? At BAWC lab, we try to address this problem through multilayer methodologies under both benign and hostile environments. Our ultimate goal is to achieve more efficient, secure and timely information exchange.
Secure Monitoring and Control for Smart Home and Smart Grid
Today, long distance information exchange through wide area networks (WANs) has mainly been limited to phone-to-phone or phone-to-computer communications. At the same time, the development of human-to-device interfaces, such as home automation systems and integrated car-driver interfaces, has largely been limited to local area networks (LANs). The separation of WANs and LANs leads to an inconvenient gap in long distance control for general devices, especially moving devices, such as in-car electronics. In this research, we aim to develop cyber-enabled systems that can achieve seamless, secure monitoring and control of localized devices or device networks with a mobile phone. While providing a new class of wireless services, cyber-enabled device monitoring and control also imposes significant capacity and security/reliability demands on wireless networks, we are exploring this area along with the emerging 5G wireless systems.
Computational Analysis for Multilevel Brain Research
In the 21st century, the focus of modern biology has undergone a major shift to neuroscience; that is, to understand how our brain works. Brain research is essential to the diagnosis, prevention, and treatment of brain dysfunction, and is also the key for establishing the future interface between the human mind and brain-controlled applications. Computational modeling and analysis plays a key role in extracting brain signals and revealing brain functions. Innovative computational techniques help us reveal the significant truth or meaningful information hidden in the massive data collected from various experiments. In collaboration with colleagues from Departments of Psychology, Neuroscience, Radiology, and Translational Science & Molecular Medicine, and taking brain as a communication network, we aim to develop modeling and analysis theory and techniques to support different levels of brain analysis.
