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Interference Alignment in Cognitive Relay Networks Under CSI Mismatch

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Communications and Networking (ChinaCom 2016)

Abstract

Interference alignment (IA) is an effective method that can eliminate interferences in wireless networks, and has been applied to spectrum sharing in cognitive radio (CR) networks recently. However, the availability of perfect network channel state information (CSI) is necessary for most existing IA schemes, which is not practical in general due to the realistic communication scenarios and deployment challenges. In this paper, we apply IA to cognitive relay networks under CSI mismatch where the variance of the CSI measurement error depends on signal-to-noise ratio (SNR). An adaptive Max-SINR IA algorithm has been introduced to improve the performance of the secondary network by using the knowledge of CSI error variance. Finally, we analyze the performance of the secondary network in terms of the end-to-end equivalent transmission rate and outage probability. Simulation results indicate that our proposed adaptive Max-SINR IA scheme can greatly improve the performance of the secondary network.

This work is supported by the National Natural Science Foundation of China (Nos. 61371122, 61471393, and 61501512), Jiangsu Provincial National Science Foundation (BK20150718) and China Postdoctoral Science Foundation under a Special Financial Grant (No. 2013T60912).

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Correspondence to Weiwei Yang .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Yang, W., Zhang, T., Cai, Y., Wu, D. (2018). Interference Alignment in Cognitive Relay Networks Under CSI Mismatch. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 209. Springer, Cham. https://doi.org/10.1007/978-3-319-66625-9_25

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  • DOI: https://doi.org/10.1007/978-3-319-66625-9_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66624-2

  • Online ISBN: 978-3-319-66625-9

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