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We consider the channel sensing problem arising in opportunistic scheduling over fading channels, cognitive radio networks, and resource constrained jamming. The same problem arises in many other areas of science and technology as it is an instance of restless bandit problems. The communication system consists of channels. Each channel is modeled as a multi-state Markov chain. At each time instant...
In probabilistic location estimation, Kalman filters, particle filters, and hidden Markov model (HMM) schemes are commonly used. Among those, HMM-based algorithms have the best performance. However, there is still room for improvement. In this paper, we propose two distributed cooperative location estimation algorithms, D-COOLEST1 and D-COOLEST2, for HMM-based location estimation. The users are designed...
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