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The wireless lab is actively pursuing various research areas in mobile edge computing, distributed machine learning and 5G systems.
The research scope is constantly expanding.
Edge Learning and Communication
The recent revival of artificial intelligence (AI) is revolutionizing almost every branch of science and technology. Given the ubiquitous smart mobile gadgets and Internet of Things (IoT) devices, it is expected that a majority of intelligent applications will be deployed at the edge of wireless networks. This trend has generated strong interests in realizing an “intelligent edge” to support AI-enabled applications at various edge devices. Accordingly, a new research area, called edge learning, emerges, which crosses and revolutionizes two disciplines: wireless communication and machine learning. (Read more)
Mobile Edge Computing
In next-generation networks, ultra-dense edge devices (ranging from base stations to TV set-top boxes) will be deployed at the network edge. Leveraging the abundance of computing resources at these edge devices, called mobile edge computing (MEC). The main feature of MEC is to push mobile computing, network control and storage to the network edges so as to enable computation- intensive and latency-critical applications at the resource-limited mobile devices such as sensors and IoT devices. MEC promises dramatic reduction in latency and mobile energy consumption, tackling the key challenges for materializing the 5G vision. The promised gains of MEC have motivated extensive efforts in both the academia and industry on developing the technology. (Read more)
Vehicular Sensing for Auto-Driving
Autonomous driving (auto-driving) aims at reducing car accidents, traffic congestion, and greenhouse gas emissions by automating the transportation process. The potential impact of the cross-disciplinary technology has attracted heavy R&D investments not only by leading car manufactures (e.g., Toyota, Tesla, BMW) but also Internet companies (e.g., Google, Apple, Baidu). As one of the key operations in auto-driving, the vehicular sensing acts as a basic and important technique for auto-vehicles that senses all vehicles (including line-of-sight (LoS) and non-LoS (NLoS) vehicles) via accurately detecting their positions, driving-directions, sizes, velocities, trajectories, etc. The information then serves as inputs for computing and control tasks, such as driving-path planning, navigation, and accidence avoidance. (Read more)
The fifth-generation (5G) communications will penetrate almost every sector of our society and create an all-dimensional, user-centered information ecosystem. It is envisioned that 5G will provide users with radio access speeds matching the wire counterparts and "zero" latency user experiences, and also enable massive connectivity accommodating tens-of-billions of mobile devices. To be precise, the mission of 5G is to enable mobile broadband, massive machine-type communications, and ultra-fast and ultra-reliable communications. (Read more)
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