resource management

Sequential Learning Framework for Resource Management in Wireless Networks

in multi-armed bandit, resource management, sequential learning, wireless networks

Many resource management solutions in wireless networks operate on the as- sumption that the decision makers have the complete knowledge of system states and parameters (e.g., channel states, network topology, user density, etc.).
The primary goal of the research program is to advance the fundamental understanding and development of efficient robust solutions for cyber physical systems, and wireless and mobile data networks. The specific objective of the project is to develop a sequential learning framework for a variety of resource management problems in wireless networks.

Robust Coverage under Uncertainty in Wireless Sensor Networks

in coverage, resource management, robust, wireless sensor networks
Vu, K, Zheng R.  2011.  Robust Coverage under Uncertainty in Wireless Sensor Networks. Proceedings of the 30th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM).
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