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I. Current Projects
1. Automated Crowdsourcing for Real-time Applications
In this project, we propose to combine the task offloading to the edge along with routing, while trying to minimize total latency, due to the time-sensitive constraints of safe automated operation.
2. Global Connectivity
With the increasing number of connected vehicles, various delay sensitive and computation intensive applications (such as, augmented reality driving and image-aided navigation) have been emerging in intelligent transportation systems (ITS). These applications are important to ensure the safety driving and control the autonomous vehicles’ systems. However, they require a huge amount of computation capability for processing to analyze the huge volume of sensing data in a real-time.
With the increasing number of connected vehicles, various delay sensitive and computation intensive applications (such as, augmented reality driving and image-aided navigation) have been emerging in intelligent transportation systems (ITS). These applications are important to ensure the safety driving and control the autonomous vehicles’ systems. However, they require a huge amount of computation capability for processing to analyze the huge volume of sensing data in a real-time.
One key sensing technology that has the potential to significantly augment the capabilities of ITS sensing systems is light detection and ranging (LiDAR). LiDAR works by utilizing laser technology to calculate the distance between the sensor aperture and the object the laser hits. By casting multiple lasers across a field of view (FoV) area, the distances can be utilized to construct virtual 3D scans of the LiDAR’s surroundings. Although this problem is new to LiDAR data processing, it is similar to problems that are being addressed by Mobile Edge Computing (MEC), where mobile devices contain low-power components in order to maximize battery life for the user
In this project, we investigate the methods and parameters for joint-design of illumination and communication metrics in physical and protocol layers, and ultimately, to demonstrate a prototype with the optimized design. The need for coining the new solution as opposed to the more conventional term of VLC is not an effort to sound original, but stems from our focus on both illumination and communication aspects concurrently
II. Previous Projects
1. High Speed Train Communications
One key sensing technology that has the potential to significantly augment the capabilities of ITS sensing systems is light detection and ranging (LiDAR). LiDAR works by utilizing laser technology to calculate the distance between the sensor aperture and the object the laser hits. By casting multiple lasers across a field of view (FoV) area, the distances can be utilized to construct virtual 3D scans of the LiDAR’s surroundings. Although this problem is new to LiDAR data processing, it is similar to problems that are being addressed by Mobile Edge Computing (MEC), where mobile devices contain low-power components in order to maximize battery life for the user
In this project, we propose to combine the task offloading to the edge along with routing, while trying to minimize total latency, due to the time-sensitive constraints of safe automated operation.
3. Multi-element Optical Communications
Within a single-element Visible Light Communications (VLC) architecture using diffuse optics, most of the works in the literature focus on improving the Field-of-View (FOV), ranges, and downlink data rate of the VLC system. The main disadvantages of the VLC single-element architecture are firstly the achievable data rates with commercial LEDs are not high due to their lower bandwidth. Secondly, the VLC single-element architecture can only serve one user at a time due to modulation and interference limitations, thus a lot of space is not used in a proper way.
The multi-element VLC networks can offer increased aggregate throughput via simultaneous wireless links and attain higher spatial reuse. The downlink data transmission efficiency can be significantly improved by using multi-element VLC modules due to its light beam directionality where each transmitter can be modulated with different data streams.
Despite the spatial reuse advantages of multi-element multi-stream VLC architecture, it introduces two new problems: (1) lighting uniformity and (2) LED-to-mobile association. The spatial reuse advantages are exclusively dependent on making the LEDs’ divergence angles narrower (in contrast to diffuse optics), which makes the lighting spotty and limits the mobility of receiver to a smaller area. Placement and transmit powers of LEDs can be tuned to solve the former, and on-the-fly association of LEDs to mobile receivers can be made to handle the latter
2. Energy Harvesting Integrated with Smart Grid
3. Cooperative Relaying
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