@conference{10902/18040,
year = {2019},
url = {http://hdl.handle.net/10902/18040},
abstract = {Improper Gaussian signaling (IGS) has been used as an effective interference management tool in interference limited systems. Improper Gaussian signals are correlated with their complex conjugates. In this paper, we investigate the optimality of IGS from an energy efficiency (EE) perspective. First, we obtain closed form optimality conditions for IGS.We then leverage these conditions to devise a bisection method that finds the optimal transmission parameters. Our results show that IGS can improve the EE of an underlay cognitive radio system.},
organization = {The work of M. Soleymani, C. Lameiro and P. J. Schreier was supported by the German Research Foundation (DFG) under grants LA 4107/1-1 and SCHR 1384/8-1. The work of I. Santamaria has been partially
supported by MINECO of Spain and AEI/FEDER funds of the E.U., under grant TEC2016-75067-C4-4-R (CARMEN).},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
publisher = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, Reino Unido, 2019, 4769-4773.},
title = {Energy-efficient design for underlay cognitive radio using improper signaling},
author = {Soleymani, Mohammad and Lameiro Gutiérrez, Christian and Schreier, Peter J. and Santamaría Caballero, Luis Ignacio},
}