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Optimal multiuser uplink data detection for 5G communication networks

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Abstract

The complex channel fading statistics and large antenna array employed in massive multiple input and multiple outputs (MIMO) for uplink and downlink transmission. The large channel array makes it challenging to recognize the most accurate data from a composite signal at the receiver. This is one of the crucial problems that needs to be solved in 5G and next-generation communication. In order to address this tricky problem in contemporary wireless systems, a new investigation is being done on the development of optimal detectors employing bio-inspired algorithms. With bio-inspired evolutionary algorithms, an effective uplink data detection model is put forth in this article. For MIMO uplink transmission, the performance of data detectors is compared using numerical techniques, compressed sensing, state space adaptive filtering, and bio-inspired algorithms. The analysis using bio-inspired evolutionary algorithms, including Reptile Search algorithm (RSA), Dandelion optimization (DO), Harris Hawks optimization (HHO), Runge Kutta optimization (RUN), Zebra optimization algorithm (ZOA), and Beluga whale optimization (BWO), provides a clear picture for choosing the best detector for modern wireless applications. Performance metrics like bit error rate (BER) and mean square error (MSE) are used to analyze and compare the simulation outcomes. It has been determined after careful investigation that RSA-based data detectors work better than other alternatives and can be effectively used by wireless receivers to retrieve signals reliably.

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Acknowledgements

For the successful completion of the research effort, the authors acknowledge the help of the Institute of Technical Education and Research, Siksha ’o’ Anusandhan, Jagamara, Bhubaneswar, and Veer Surendra Sai University of Technology, Burla, Sambalpur, India in terms of the E-library and Laboratory. Authors have taken some algorithms like HHO, and RUN for detector performance comparison as used in their recent publication for a completely different application on precoder design for wireless systems in Springer Bionic Engineering Journal and  the same is cited in 28 of the reference section.

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Authors and Affiliations

  1. Department of ECE, ITER, Siksha O Anusandhan University, Bhubaneswar, India

    Madhusmita Sahoo

  2. Department of Electronics and Telecommunication Engineering, Veer Surendra Sai University of Technology, Burla, Sambalpur, Odisha, India

    Harish Kumar Sahoo

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  1. Madhusmita Sahoo
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Correspondence to Harish Kumar Sahoo.

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Sahoo, M., Sahoo, H.K. Optimal multiuser uplink data detection for 5G communication networks. Int. j. inf. tecnol. 16, 1407–1418 (2024). https://doi.org/10.1007/s41870-023-01691-z

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