Abstract
Many efforts have been dedicated to cognitive radio research and many schemes have been proposed for cognitive radio in the past few years. Unfortunately, an important piece of cognitive radio, namely, signal separation, is missing. The goal of this paper is to stimulate the research interests of incorporating signal separation into cognitive radio. This paper will argue that the signal separation component is not only critical but also feasible. We starts with an integrated view of cognitive radio and software radio architecture, and then a physical layer architecture based on blind signal separation is examined. It will be shown that the signal separation component can serve for many purposes, including separating different kinds of signals and performing multiuser detection. The performance is evaluated by computer simulations and the feasibility is discussed through complexity analysis.
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Notes
Here we consider both WiMax and Bluetooth are primary users with some other secondary users co-exist with them.
If one wants to further recognize the separated signals, signal recognition must be performed.
Generally speaking, division could be four times as complex as multiplication, but here we consider an advanced architecture such as the one mentioned in [42].
These numbers are based on experiments.
This is not always true but for simplicity we make this assumption and the scaling can be later applied to make it reflect the real processor cycles.
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Acknowledgements
This work was supported by the National Science Foundation under grant 0509463. We would like to thank the reviewers for their useful comments to help improve the quality of this paper.
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Lee, Ch., Wolf, W. Blind Signal Separation for Cognitive Radio. J Sign Process Syst 63, 67–81 (2011). https://doi.org/10.1007/s11265-009-0400-1
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DOI: https://doi.org/10.1007/s11265-009-0400-1