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A Precoding Algorithm Based on Weighted MMSE for MmWave MU-MIMO System with Discrete Lens Array

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Communications, Signal Processing, and Systems (CSPS 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 873))

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Abstract

Existing researches for Beamspace massive MIMO system mainly concentrate on simple precoders, which severely limits the system performance. Inspired by the relationship between received minimum mean square error (MMSE) and spectural efficiency (SE) for single-antenna user, we formulate the problem to maximize system SE as a minimization problem about sum of received mean square error, whose objective function is concave with respect to each variable when all other variables are fixed. Based on this property, we propose a precoding algorithm based on weighted MMSE, which can find a satisfactory solution by blocked coordinate descent method with acceptable complexity. Simulation results demonstrate the performance of proposed precoding algorithm.

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Correspondence to Dehao Wang .

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Wang, D., Yang, L., Li, X., Wang, Q., Zhang, F., Shi, D. (2023). A Precoding Algorithm Based on Weighted MMSE for MmWave MU-MIMO System with Discrete Lens Array. In: Liang, Q., Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2022. Lecture Notes in Electrical Engineering, vol 873. Springer, Singapore. https://doi.org/10.1007/978-981-99-1260-5_5

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  • DOI: https://doi.org/10.1007/978-981-99-1260-5_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-1259-9

  • Online ISBN: 978-981-99-1260-5

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