tuzsutТруды учебных заведений связиProceedings of Telecommunication Universities1813-324X2712-8830СПбГУТ10.31854/1813-324X-2023-9-3-104-111tuzsut-484Research ArticleРЕЗУЛЬТАТЫ ИССЛЕДОВАНИЙ МОЛОДЫХ УЧЕНЫХRESEARCH RESULTS BY YOUNG SCIENTISTSHybrid-NOMA для беспроводной системы связиHybrid-NOMA for Wireless Communication Systemhttps://orcid.org/0000-0001-8169-7177ХанР.KhanR.

аспирант Инженерной школы информационных технологий и робототехники Национального исследовательского Томского политехнического университета

rabi.khan14@gmail.comНациональный исследовательский Томский политехнический университетРоссияNational Research Tomsk Polytechnic UniversityRussian Federation20231007202393104111Copyright © Хан Р., 20232023Хан Р.Khan R.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://tuzs.sut.ru/jour/article/view/484

С развитием систем беспроводной связи возрастает потребность в спектральной эффективности, безопасности, энергоэффективности, высокой скорости передачи данных и пропускной способности. Неортогональный множественный доступ в домене мощности (NOMA) ‒ один из известных алгоритмов для выполнения основного требования к настройке беспроводной связи. В этой статье предлагается новый алгоритм, называемый гибридным NOMA (H-NOMA). H-NOMA может улучшить энергоэффективность, спектральную эффективность, коэффициент ошибок по символам и секретность суммы. Он основан на Hybrid Constellation Shaping для поддержки системы беспроводной связи. Безопасность ‒ еще одна первостепенная задача для всех систем связи; предлагаемый H-NOMA также обеспечивает лучшую секретность по сравнению с NOMA. Эта статья содержит базовую структуру предлагаемого алгоритма. Анализ моделирования выполняется для коэффициента ошибочных символов, энергоэффективности и секретности. Генетический алгоритм машинного обучения также используется для оптимизации параметров системы.

The demand for spectral efficiency, security, energy efficiency, power efficiency, high data rate, and throughput increases with the advancement of wireless communication systems. Power domain non-orthogonal multiple access (NOMA) is one the famous algorithms to achieve the essential requirement of a wireless communication setup. This paper proposes a novel algorithm called hybrid NOMA (H-NOMA). The hybrid NOMA can improve power efficiency (PE), spectral efficiency (SE), symbol error rate (SER), and sum secrecy. It is based on Hybrid Constellation Shaping to support a wireless communication system. Security is another primary concern for all communication systems; the proposed H-NOMA also provides better secrecy capacity as compared to NOMA. This paper contains the basic structure of the proposed algorithm. Simulation analysis is done for the symbol error rate, energy efficiency, and secrecy capacity. Machine learning genetic algorithm is also used for the optimization of system parameters.

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The authors declare that there are no conflicts of interest present.