Benefits of improper signaling for underlay cognitive radio
Christian Lameiro, Ignacio Santamar\'ia, Peter J. Schreier

TL;DR
This paper demonstrates that improper signaling can enhance secondary user rates in underlay cognitive radio, especially under certain interference conditions and when the primary user is lightly loaded.
Contribution
It introduces a novel analysis of improper signaling benefits in underlay cognitive radio, deriving optimal parameters and conditions for improved secondary user performance.
Findings
Improper signaling benefits secondary user rates under specific interference ratios.
Optimal circularity coefficient depends on the secondary user's power budget.
Secondary user gains are more significant when the primary user is lightly loaded.
Abstract
In this letter we study the potential benefits of improper signaling for a secondary user (SU) in underlay cognitive radio networks. We consider a basic yet illustrative scenario in which the primary user (PU) always transmit proper Gaussian signals and has a minimum rate constraint. After parameterizing the SU transmit signal in terms of its power and circularity coefficient (which measures the degree of impropriety), we prove that the SU improves its rate by transmitting improper signals only when the ratio of the squared modulus between the SU-PU interference link and the SU direct link exceeds a given threshold. As a by-product of this analysis, we obtain the optimal circularity coefficient that must be used by the SU depending on its power budget. Some simulation results show that the SU benefits from the transmission of improper signals especially when the PU is not highly loaded.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · Advanced MIMO Systems Optimization · Wireless Communication Security Techniques
