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Maximizing First-Order Approximate Mean of SINR Under Imperfect Channel State Information for Throughput Enhancement of MIMO Interference Networks

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Abstract

In this research paper, approximate mean of signal-to-interference-plus-noise ratio (SINR) under imperfect channel state information (CSI) is computed and maximized for throughput enhancement of MIMO interference networks. Each transmitter and receiver has, respectively, \(\varvec{M}\) and \(\varvec{N}\) antennas and network operates in a time-division duplex mode. Each transceiver adjusts its filter to maximize the expected value of SINR. The proposed new approach for throughput enhancement under imperfect CSI utilizes the reciprocity of wireless networks to maximize the estimated mean. The sum rate performance of the proposed algorithm is verified using Monte Carlo simulations.

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Notes

  1. \(\frac{P}{{N_{0} }}\) is SNR in the network, since all data streams are of power P and \(N_{0}\) is noise power at all receivers.

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Authors and Affiliations

  1. Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

    Ali Dalir & Hassan Aghaeinia

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  1. Ali Dalir
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  2. Hassan Aghaeinia
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Correspondence to Ali Dalir.

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Dalir, A., Aghaeinia, H. Maximizing First-Order Approximate Mean of SINR Under Imperfect Channel State Information for Throughput Enhancement of MIMO Interference Networks. Iran J Sci Technol Trans Electr Eng 43 (Suppl 1), 121–132 (2019). https://doi.org/10.1007/s40998-018-0123-z

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  • DOI: https://doi.org/10.1007/s40998-018-0123-z

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