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Transceiver Designs for Interference Alignment Based Cognitive Radio Networks with Energy Harvesting

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Abstract

Cognitive radio (CR) can improve the usage of spectrum resources, although the secondary users (SUs) will cause interference. Interference alignment (IA) is a prospective technique that can manage the interference effectively and has been applied to CR networks. However, interference can be used as an energy source by wireless energy harvesting techniques. In this paper, we consider an underlay CR network consisting of a primary user (PU) and SUs that are either energy harvesting users or information transmission users. The normal IA scheme neglects the priority of the PU, which leads to poor performance, particularly at low signal noise ratio (SNR) values. Three transceiver designs are proposed to improve the information rate of the PU and these benefit from the existence of energy harvesting users, by aligning the interference created by those energy harvesting users at information transmission users. Simulation results are presented to show the proposed designs can significantly improve the performance especially in low SNR situations.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China (61561032, 61461029 and 61703197), China/Jiangxi Postdoctoral Science Foundation Funded Project (2014MT561879, 2014KY046), Young Scientists Project Funding of Jiangxi Province (20153BCB23020, 20162BCB23010), and the Natural Science Foundation of Jiangxi Province (20161BAB202043, 20151BBE50054 and 20114ACE00200).

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Correspondence to Lin Xiao.

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Wu, F., Xiao, L., Yang, D. et al. Transceiver Designs for Interference Alignment Based Cognitive Radio Networks with Energy Harvesting. Wireless Pers Commun 98, 1895–1911 (2018). https://doi.org/10.1007/s11277-017-4952-2

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