The Internet of Vehicles (IoV) is a subapplication of the Internet of Things in the automotive
field. Large amounts of sensor data require to be transferred in real-time. Most of the routing …

Recently several ground-breaking RF-based motion-recognition systems were proposed to
detect and/or recognize macro/micro human movements. These systems often suffer from …

Network application optimization is essential for improving the performance of the
application as well as its user experience. The network application parameters are crucial in …

There have been studies that consider optimizing network applications in an online learning
context using multi-armed bandit models. However, existing frameworks are problematic as …

Multi-arm bandit (MAB) is a classic online learning framework that studies the sequential
decision-making in an uncertain environment. The MAB framework, however, overlooks the …

Packet corruption caused by collision is a critical problem that hurts the performance of
wireless networks. Conventional medium access control (MAC) protocols resort to collision …

Multi-armed bandits (MAB) are widely applied to optimize networking applications such as
crowdsensing and mobile edge computing. Additional feedbacks (or partial feedbacks) on …

Wireless systems perform rate adaptation to transmit at highest possible instantaneous
rates. Rate adaptation has been increasingly granular over generations of wireless systems …

Driven by a wide range of real-world applications, several ground-breaking RF-based
motion-recognition systems were proposed to detect and/or recognize macro/micro human …

We study the file transfer problem in opportunistic spectrum access (OSA) model, which has
been widely studied in throughput-oriented applications for max-throughput strategies and …