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Interference Alignment Algorithm Based on Feedback Concentration in D2D Communications

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Abstract

This paper proposed an effective interference alignment algorithm based on channel state feedback concentration (FCIA) for device-to-device (D2D) communications. The algorithm iteratively calculates the precoding matrix by using the global channel state information. Furthermore, as D2D discovery is the premise of the D2D communications, an effective interference alignment algorithm based on D2D discovery is also proposed. Simulation results show that, the proposed FCIA algorithm reduces the feedback overhead for transmission coordination compared with the existing full feedback based algorithm. The proposed interference alignment scheme based on D2D discovery feedback is compared with the existing D2D discovery scheme: it is found that although the discovery time slots has increased by about 6.2%, the sum rate achieved by interference alignment is improved by almost 50%.

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Correspondence to Zhanjun Liu.

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Liu, Z., Zeng, X., Li, Z. et al. Interference Alignment Algorithm Based on Feedback Concentration in D2D Communications. Wireless Pers Commun 95, 2377–2391 (2017). https://doi.org/10.1007/s11277-017-4138-y

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