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Joint Mode Selection and Beamformer Optimization for Full-Duplex Cellular Systems

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Machine Learning and Intelligent Communications (MLICOM 2017)

Abstract

We investigate a novel mode selection scheme for full-duplex (FD) cellular system where the base station (BS) and the user equipments (UEs) are equipped with multiple-input multiple-output (MIMO) antennas. We consider that FD is utilized at the BS, i.e. it enables simultaneous transmission and reception at the same frequency band, while UEs work in the conventional half-duplex (HD) way. Since FD system can not always outperform HD system due to residual self interference (RSI) at the base station, the mode selection is mainly determined by system performance. To address this issue, a joint mode selection and beamformer optimization problem with power constraints is formulated to achieve the maximal weighted sum rate (WSR). On account of the non-convex of original problem, a heuristic algorithm based on decoupling is proposed, which decomposes the original problem into two sub-problems. One is mode selection sub-problem and the other one is mean square error (MSE) minimization sub-problem. By means of simulation, the proposed algorithm shows the ability to choose the mode with greater performance in achievable rate.

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Acknowledgments

This work is sponsored by National Natural Science Foundation of China (Grant No. 61601409 and Grant No. 61471322).

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Correspondence to Fangni Chen .

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

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Chen, F., Hua, J., Lu, W., Wang, Z. (2018). Joint Mode Selection and Beamformer Optimization for Full-Duplex Cellular Systems. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_28

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  • DOI: https://doi.org/10.1007/978-3-319-73447-7_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73446-0

  • Online ISBN: 978-3-319-73447-7

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