New Projects on Mobile Edge Computing and Cognitive Radio Networks

New Projects on Mobile Edge Computing and Cognitive Radio Networks
Electrical and Computer Engineering

Dr. Jiang (Linda) Xie received funding from the NSF for research in mobile edge computing (MEC) networks. This 3-year project, entitled “Towards Seamless Mobility in Mobile Edge Computing Networks” will design, analyze, and evaluate new algorithms for providing seamless mobility support in MEC networks with integrated computing and communication activities. Mobile edge computing (MEC) has emerged as a promising technology to overcome the challenges of executing latency-sensitive and computation-intensive applications at resource-limited mobile devices, by pushing mobile computing, network control, and storage resources to the edge of mobile wireless networks. The mobility support issue is considered as a critical component to ensure the success of MEC. This research is aimed at minimizing service disruptions and performance degradation caused by user mobility in MEC. It will help generate innovative mobility support techniques for numerous applications, e.g., autonomous driving, cognitive assistance, mobile health, and Internet of Everything. It will also have significant impacts on research in emerging technologies with high mobility scenarios, such as connected vehicles and unmanned aerial systems.

Dr. Jiang (Linda) Xie has also received funding from NSF for research in cognitive radio networks (CRNs). This 3-year project entitled “MAC Layer Failure Control and Avoidance in Cognitive Radio Networks” will design new medium access control (MAC) layer failure control and avoidance protocols for CRNs without a common control channel. This project was also selected for funding by NSF’s Computer and Network Systems (CNS) CORE program under the Directorate for Computer and Information Science & Engineering. Cognitive radio has recently emerged as a promising technology to overcome the imbalance between the increase in spectrum access demand and the inefficiency in spectrum usage by allowing dynamic spectrum access. However, a fundamentally unexplored issue in cognitive radio networking design is how to avoid and control the failures at the MAC layer during spectrum access. This research aims at minimizing the failure rate caused by various factors during spectrum access and minimizing the average spectrum access delay.