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TCOM
2010
133views more  TCOM 2010»
13 years 7 months ago
Transmission control in cognitive radio as a Markovian dynamic game: Structural result on randomized threshold policies
Abstract——This paper considers an uplink time division multiple access (TDMA) cognitive radio network where multiple cognitive radios (secondary users) attempt to access a spect...
J. Huang, V. Krishnamurthy
AAAI
2008
13 years 11 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
IWDC
2004
Springer
161views Communications» more  IWDC 2004»
14 years 1 months ago
Distributed Mobility Tracking for Ad Hoc Networks Based on an Autoregressive Model
Abstract. In ad hoc networks, node mobility causes the network topology to change dynamically over time, which complicates important tasks such as routing and flow control. We pro...
Zainab R. Zaidi, Brian L. Mark
AUTOMATICA
2007
142views more  AUTOMATICA 2007»
13 years 8 months ago
Lyapunov-based switching control of nonlinear systems using high-gain observers
Abstract— We consider dynamic output feedback practical stabilization of uniformly observable nonlinear systems, based on high-gain observers with saturation. We assume that unce...
Leonid B. Freidovich, Hassan K. Khalil
HPCA
2001
IEEE
14 years 9 months ago
Self-Tuned Congestion Control for Multiprocessor Networks
Network performance in tightly-coupled multiprocessors typically degrades rapidly beyond network saturation. Consequently, designers must keep a network below its saturation point...
Mithuna Thottethodi, Alvin R. Lebeck, Shubhendu S....