Abstract: User mobility prediction is widely researched. Many studies have used algorithms to predict where users will go based on their contexts and trajectories. Most studies target specific predictions. While successful cases are often reported,…
Abstract: Supremo is a cloud-assisted mobile image super-resolution (SR) system. We optimize state-of-the-art DNN to reduce inference latency since SR is compute-intensive. We also design a mobile-cloud cooperative execution pipeline with specialized data compression algorithms…
Abstract: Network slicing could transform the telecommunications ecosystem by offering new players in different markets tailored connectivity services based on their business strategies. Dynamic resource sharing is essential for efficiency, cost savings, and resource negotiation…
Abstract: This project derives closed-form expressions for significant statistical properties of the link signal-to-noise ratio (SNR) and separation distance in mobile ad hoc networks with Ornstein-Uhlenbeck (OU) mobility and Rayleigh fading. These systems depend on…
Abstract: Bike underflow or overflow causes bike-sharing system outages. Rebalancing station loads requires hiring workers. The complex rebalancing problem is partitioned temporally and spatially. The temporal domain has fixed-duration slices. NP-hard, we assign a worker…
Abstract: Indoor positioning systems have proliferated due to commercial interest in indoor localization services. Localization is limited by system requirements like site survey, user intervention, or specific hardware/software, despite extensive research. PYLON, an indoor path…
Abstract: Indoor localization allows retailers, warehouses, and libraries to sense and understand human behavior and provide personalized services. Existing indoor localization technologies are unable to identify different people, have severe object occlusion when multiple people…
Abstract: Ride-hailing, the most successful sharing economy application, serves millions of users daily. Big data helps ride-hailing service providers (SPs) improve their services by collecting users’ personal data. SPs may also use user data to…
Abstract: Many mobile apps display messages, social media posts, account information, and verification codes. Mobile devices must display all such textual content but strongly protect it from unauthorized access. Today’s mobile malware can easily access…
Abstract: The emerging cellular-enabled unmanned aerial vehicle (UAV) communication paradigm challenges UAV application research due to the dynamic characteristics of new aerial users. The high mobility of UAV nodes and the unexpected disturbance of external…
Abstract: Future cellular networks will offer multiple virtualized wireless networks for different mobile virtual network operators (MVNOs) on the same physical infrastructure. Auctions have been widely used for wireless virtualization resource allocation. Due to its…
Abstract: Mobile image recognition services are changing our lives. Most cloud/edge-based approaches have two major drawbacks: low recognition accuracy and high network bandwidth pressure, and difficulty extracting features from mobile device resources. This project proposes…
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