25 citations · 47 across the 8 of their papers we have counts for
8 papers
Statistical characterization of the chordal product determinant of Grassmannian codes
Javier Álvarez-Vizoso, Carlos Beltrán, Diego Cuevas +3
We consider the chordal product determinant, a measure of the distance between two subspaces of the same dimension. In information theory, collections of elements in the complex Gr…
Constellations on the Sphere with Efficient Encoding-Decoding for Noncoherent Communications
Javier Álvarez-Vizoso, Carlos Beltrán, Ignacio Santamaria +2
In this paper, we propose a new structured Grassmannian constellation for noncoherent communications over single-input multiple-output (SIMO) Rayleigh block-fading channels. The co…
Constrained Riemannian Noncoherent Constellations for the MIMO Multiple Access Channel
Javier Álvarez-Vizoso, Diego Cuevas, Carlos Beltrán +3
We consider the design of multiuser constellations for a multiple access channel (MAC) with K users, with M antennas each, that transmit simultaneously to a receiver equipped with…
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA
Amin Azari, Panagiotis Papapetrou, Stojan Denic +1
Prediction of user traffic in cellular networks has attracted profound attention for improving resource utilization. In this paper, we study the problem of network traffic traffic…
User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches
Amin Azari, Panagiotis Papapetrou, Stojan Denic +1
Traffic prediction plays a vital role in efficient planning and usage of network resources in wireless networks. While traffic prediction in wired networks is an established field,…
A Reinforcement Learning Approach to Power Control and Rate Adaptation in Cellular Networks
Euhanna Ghadimi, Francesco Davide Calabrese, Gunnar Peters +1
Optimizing radio transmission power and user data rates in wireless systems via power control requires an accurate and instantaneous knowledge of the system model. While this probl…
Learning Radio Resource Management in 5G Networks: Framework, Opportunities and Challenges
Francesco Davide Calabrese, Li Wang, Euhanna Ghadimi +2
In the fifth generation (5G) of mobile broadband systems, Radio Resources Management (RRM) will reach unprecedented levels of complexity. To cope with the ever more sophisticated R…
On the Entropy Computation of Large Complex Gaussian Mixture Distributions
Su Min Kim, Tan Tai Do, Tobias J. Oechtering +1
The entropy computation of Gaussian mixture distributions with a large number of components has a prohibitive computational complexity. In this paper, we propose a novel approach e…