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PSO-based optimal beamforming in MmWave-NOMA systems with sparse antenna array

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Abstract

Millimeter-wave (mmWave) non-orthogonal multiple access (NOMA) is a promising transmission scheme to provide the required quality of service in the fifth generation (5G) mobile networks. NOMA improves spectral efficiency and throughput compared with orthogonal multiple access (OMA) in modern high diversity communication networks. Random beamforming deployment facilitates low latency transmission besides the reliable communication in the systems with massive connectivity. In this paper, we introduce a mmWave-NOMA system utilizing a sparse antenna array that substantially improves the system energy efficiency and offer low-weight, cost-effective and small-size antenna apparatus. We also introduce an optimum low complexity PSO-based algorithm to further improve the outage probability. The simulation and analysis results demonstrate 50% reduction in the outage probability in average by performing the PSO-based optimization algorithms. A comparison between the performance of PSO-based algorithm and some metaheuristic algorithms is performed. Due to the time and outage probability performances, our presented PSO-based algorithm gives better results.

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Enquiries about data availability should be directed to the authors.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Fatemeh Asghari Azhiri & Behzad Mozaffari Tazehkand

  2. Department of Electrical and Computer Engineering, California State University, Bakersfield, USA

    Reza Abdolee

Authors
  1. Fatemeh Asghari Azhiri
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  2. Behzad Mozaffari Tazehkand
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  3. Reza Abdolee
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Corresponding author

Correspondence to Behzad Mozaffari Tazehkand.

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Conflict of interest

This study is based on PhD thesis in university of Tabriz-Iran. B.M. Tazehkand is corresponding author and also supervisor to the thesis. He works on signal processing, multi-carrier communication systems, heuristic search algorithms and their applications on communication systems and statistic studies. F.A Azhiri is PhD student in the university of Tabriz and this article is written based on her research. Also she interested on beamforming and random beamforming in large scale and Massive MIMO systems. R. Abdolee is co-author and also is advisor to this thesis from California state Channels Islands (CSUCI) and leading the Cybersecurity and Wireless Systems Lab. During the past few years, his research resulted in several patents and inventions in addition to many interesting peer-reviewed journal publications and conference proceedings. He is currently conducting research in the area of cybersecurity and wireless communications with applications to Internet-of-Things (IoT) and the next generation of wireless communication systems.

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Azhiri, F.A., Tazehkand, B.M. & Abdolee, R. PSO-based optimal beamforming in MmWave-NOMA systems with sparse antenna array. Soft Comput 26, 10513–10526 (2022). https://doi.org/10.1007/s00500-022-06918-y

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  • DOI: https://doi.org/10.1007/s00500-022-06918-y

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