Energy-efficient design for underlay cognitive radio using improper signaling

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URI: http://hdl.handle.net/10902/18040
ISBN: 978-1-4799-8131-1
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Autoría
Soleymani, Mohammad; Lameiro Gutiérrez, ChristianAutoridad Unican; Schreier, Peter J.; Santamaría Caballero, Luis IgnacioAutoridad Unican
Fecha
2019
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© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publicado en
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, Reino Unido, 2019, 4769-4773.
Editorial
Institute of Electrical and Electronics Engineers Inc.
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Palabras clave
Energy efficiency
Improper Gaussian signaling
Underlay cognitive radio
Resumen/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.
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