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Found 4 papers, 1 papers with code
Random Access with Massive MIMO-OTFS in LEO Satellite Communications
Next, by exploring the sparsity of channel in the delay-Doppler-angle domain, a two-dimensional pattern coupled hierarchical prior with the sparse Bayesian learning and covariance-free method (TDSBL-CF) is developed for the channel estimation.
Deep Reinforcement Learning-Based Dynamic Resource Management for Mobile Edge Computing in Industrial Internet of Things
In order to minimize the long-term average delay of the tasks, theoriginal problem is transformed into a Markov decision process (MDP).
Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks
Mobile edge computing (MEC) is a promising technology to support mission-critical vehicular applications, such as intelligent path planning and safety applications.
Portably parallel construction of a CI wave function from a matrix-product state using the Charm++ framework
In this work, we present an efficient procedure for constructing CI expansions from MPS using the Charm++ parallel programming framework, upon which automatic load balancing and object migration facilities can be employed.
Computational Physics Strongly Correlated Electrons
