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Rate Analysis of Quantized MIMO Systems with Transmit Channel State Information

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Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 515))

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Abstract

The achievable rate of the multi-input multi-output (MIMO) channel with low-resolution receiver ADCs is analyzed. With the channel state information at both the transmitter and receiver, we jointly optimize the transmit signal and the receiving analog combiner with an aim to improve the performance. To this goal, the approximate achievable rate of considered channel model is first obtained using the Bussgang theorem. After that, the singular-value decomposition (SVD) based approach is proposed to enable the joint optimization. Our simulation results show that the proposed design is able to reach the capacity at low signal-to-noise ratio (SNR).

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Acknowledgement

This work was supported by Science and Technology on Electronic Information Control Laboratory and by the National Science Foundation China under Grant 61771345.

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Authors and Affiliations

  1. The School of Information Science and Engineering, East China University of Science and Technology, Shanghai, 200237, People’s Republic of China

    Xiaofeng Ling

  2. The Department of Information and Communications, Tongji University, Shanghai, 201804, People’s Republic of China

    Rui Wang

  3. Science and Technology on Electronic Information Control Laboratory, Chengdu, People’s Republic of China

    Zhaozhao Gao

Authors
  1. Xiaofeng Ling
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  2. Rui Wang
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  3. Zhaozhao Gao
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Corresponding author

Correspondence to Xiaofeng Ling .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2019 Springer Nature Singapore Pte Ltd.

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Ling, X., Wang, R., Gao, Z. (2019). Rate Analysis of Quantized MIMO Systems with Transmit Channel State Information. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-13-6264-4_34

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  • DOI: https://doi.org/10.1007/978-981-13-6264-4_34

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6263-7

  • Online ISBN: 978-981-13-6264-4

  • eBook Packages: EngineeringEngineering (R0)

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