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20102014
most citedMultiple Antenna Cyclostationary Spectrum Sensing Based on the Cyclic Correlation Significance Test

64 citations · 120 across the 5 of their papers we have counts for

collaborators

6 papers

cs.PF2014★ 17 cited

Primary User Traffic Classification in Dynamic Spectrum Access Networks

Chun-Hao Liu, Przemysław Pawełczak, Danijela Cabric

This paper focuses on analytical studies of the primary user (PU) traffic classification problem. Observing that the gamma distribution can represent positively skewed data and exp…

stat.ML2013★ 12 cited

Optimal Discriminant Functions Based On Sampled Distribution Distance for Modulation Classification

Paulo Urriza, Eric Rebeiz, Danijela Cabric

In this letter, we derive the optimal discriminant functions for modulation classification based on the sampled distribution distance. The proposed method classifies various candid…

cs.PF2012★ 64 cited

Multiple Antenna Cyclostationary Spectrum Sensing Based on the Cyclic Correlation Significance Test

Paulo Urriza, Eric Rebeiz, Danijela Cabric

In this paper, we propose and analyze a spectrum sensing method based on cyclostationarity specifically targeted for receivers with multiple antennas. This detection method is used…

cs.PF2012★ 4 cited

Eigenvalue-based Cyclostationary Spectrum Sensing Using Multiple Antennas

Paulo Urriza, Eric Rebeiz, Danijela Cabric

In this paper, we propose a signal-selective spectrum sensing method for cognitive radio networks and specifically targeted for receivers with multiple-antenna capability. This met…

cs.IT2012★ 23 cited

Energy-Delay Tradeoff and Dynamic Sleep Switching for Bluetooth-Like Body-Area Sensor Networks

Eric Rebeiz, Giuseppe Caire, Andreas F. Molisch

Wireless technology enables novel approaches to healthcare, in particular the remote monitoring of vital signs and other parameters indicative of people's health. This paper consid…

cs.IT2010

Computationally Efficient Modulation Level Classification Based on Probability Distribution Distance Functions

Paulo Urriza, Eric Rebeiz, Przemysław Pawełczak +1

We present a novel modulation level classification (MLC) method based on probability distribution distance functions. The proposed method uses modified Kuiper and Kolmogorov-Smirno…