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Performance Comparison of Linear Precoders for TDD Large Scale MIMO System with Imperfect Reciprocity and Channel Estimations

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Abstract

Channel estimation is an essential component, in which channel state information playing very important role in wireless communications. But acquiring CSI in practice is a challenging issue for massive MIMO systems. To reduce the over burden for obtaining channel impulse response of huge Multi input multi output system channel reciprocity in TDD domain is suggested, because the forward link channel data can be derived from the reverse link signal without any feedback involvement. Because of mismatches at uplink, downlink channels maintaining reciprocity in TDD systems is impractical. We study the impact of multiplicative reciprocity error for precoders (Zero forcing, MMSE and MRT) performance along with channel estimation error. In this paper effect of RF mismatches impact on linear precoders is analyzed and simulated in terms of SINR versus SNR under additive white Gaussian noise.

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Authors and Affiliations

  1. Department of ECE, Avanthi Institute of Engineering and Technology, Vizianagaram, AP, India

    V. Adinarayana

  2. Department of ECE, ANITS Engineering College, Tagarapuvalasa, Visakhapatnam, AP, India

    K. Muralikrishna

  3. Department of ECE, Andhra University College of Engineering, Andhra University, Visakhapatnam, AP, India

    P. Rajesh Kumar

Authors
  1. V. Adinarayana
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  2. K. Muralikrishna
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  3. P. Rajesh Kumar
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Correspondence to V. Adinarayana.

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Adinarayana, V., Muralikrishna, K. & Rajesh Kumar, P. Performance Comparison of Linear Precoders for TDD Large Scale MIMO System with Imperfect Reciprocity and Channel Estimations. Wireless Pers Commun 110, 2031–2043 (2020). https://doi.org/10.1007/s11277-019-06828-7

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