Energy-efficient design for underlay cognitive radio using improper signaling
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AuthorSoleymani, Mohammad; Lameiro Gutiérrez, Christian; Schreier, Peter J.; Santamaría Caballero, Luis Ignacio
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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, Reino Unido, 2019, 4769-4773.
Institute of Electrical and Electronics Engineers Inc.
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Improper Gaussian signaling
Underlay cognitive radio
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.