Kartik Pandit

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—In this paper, we propose to use vehicular ad hoc networks (VANETs) to collect and aggregate real-time speed and position information on individual vehicles to optimize signal control at traffic intersections. We first formulate the vehicular traffic signal control problem as a job scheduling problem on processors, with jobs corresponding to platoons of(More)
We propose a content and buffer aware Long Term Evolution (LTE) downlink scheduler for allocating radio resources to multiple users requesting Scalable Video Coding (SVC) encoded videos from a server. The scheduler adaptively controls the video quality by assigning physical resource blocks (PRBs) to the users based on the requested video type, device(More)
We propose a content aware scheduler to allocate resources for video delivery on the downlink of a Long Term Evolution (LTE) network. We consider multiple users subscribe to a video streaming service, and request videos encoded in H.264 Scalable Video Coding format. The scheduler maximizes the average video quality across all users by assigning resource(More)
—In this paper, we propose to use vehicular ad hoc 5 networks (VANETs) to collect and aggregate real-time speed and 6 position information on individual vehicles to optimize signal 7 control at traffic intersections. We first formulate the vehicular 8 traffic signal control problem as a job scheduling problem on 9 processors, with jobs corresponding to(More)
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