Wireless system engineering

In this thesis, focus on the wireless links between devices equipped by deployed operating personnel and intermediary access point infrastructure. We use multi-radio (MR) platforms, wireless devices with multiple and diverse transceiver technologies, to produce robust and reliable links through adaptive control of available transceivers. Primarily, we study the application of intelligent control techniques, namely reinforcement learning (RL), for adaptive control over diverse transceivers to achieve the desired robustness and reliability under dynamic environmental conditions.

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AAC (Aeronautical Administrative Communication): Communication used by aeronautical operating agencies relating to non-safety communications for the business aspects of operating their flights and transport services. AOC (Aeronautical Operational Control): Communication required for the exercise of authority over the initiation, continuation, diversion or termination of flight for safety, regularity and efficiency reasons.

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EURASIP Journal on Applied Signal Processing 2003:6, 603–614 c 2003 Hindawi Publishing Corporation A Rapid Prototyping Environment for Wireless Communication Embedded Systems Bryan A. Jones Department of Electrical and Computer Engineering, Clemson University, 202A Riggs Hall, Clemson, SC 29634, USA Email: bryan@rice.edu Joseph R. Cavallaro Department of Electrical and Computer Engineering, Rice University, Duncan Hall, MS 380, 6100 S. Main Street, Houston, TX 77005, USA Email: cavallar@rice.

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Web search engine: Markov chain theory Data Mining, Machine Learning: Data mining, Machine learning: Stochastic gradient, Markov chain Monte Carlo, Image processing: Markov random fields, Design of wireless communication systems: random matrix theory, Optimization of engineering processes: simulated annealing, genetic algorithms, Finance (option pricing, volatility models): Monte Carlo, dynamic models, Design of atomic bomb (Los Alamos): Markov chain Monte Carlo.

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