Industrial Networks and Intelligent Systems. 5th EAI International Conference, INISCOM 2019, Ho Chi Minh City, Vietnam, August 19, 2019, Proceedings

Research Article

User-Pairing Scheme in NOMA Systems: A PSO-Based Approach

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  • @INPROCEEDINGS{10.1007/978-3-030-30149-1_2,
        author={Antonino Masaracchia and Long Nguyen and Trung Duong and Daniel Costa and Thuong Le-Tien},
        title={User-Pairing Scheme in NOMA Systems: A PSO-Based Approach},
        proceedings={Industrial Networks and Intelligent Systems. 5th EAI International Conference, INISCOM 2019, Ho Chi Minh City, Vietnam, August 19, 2019, Proceedings},
        proceedings_a={INISCOM},
        year={2019},
        month={9},
        keywords={NOMA PSO Sub-channel mapping User-pairing},
        doi={10.1007/978-3-030-30149-1_2}
    }
    
  • Antonino Masaracchia
    Long Nguyen
    Trung Duong
    Daniel Costa
    Thuong Le-Tien
    Year: 2019
    User-Pairing Scheme in NOMA Systems: A PSO-Based Approach
    INISCOM
    Springer
    DOI: 10.1007/978-3-030-30149-1_2
Antonino Masaracchia1,*, Long Nguyen2, Trung Duong1, Daniel Costa3, Thuong Le-Tien4
  • 1: Queen’s University Belfast
  • 2: Dong Nai University
  • 3: Federal University of Ceará
  • 4: Ho Chi Minh City University of Technology
*Contact email: A.Masaracchia@qub.ac.uk

Abstract

Non-orthogonal multiple access (NOMA) is considered a promising technology for improving the spectral efficiency in fifth generation communication systems. In contrast to orthogonal multiple access (OMA), NOMA allows to allocate one frequency channel to multiple users at the same time within the same cell. Basically, this is possible through power-domain superposition coding (SC) multiplexing at transmitter and successive interference cancellation (SIC) at receiver. For this reason, either an optimal power allocation scheme and an optimal user-aggregation policy result to have a key role on NOMA systems, especially in power constrained scenarios like disaster communications. In this paper, a particle swarm optimization (PSO)-based approach for user aggregation in NOMA systems is presented. The efficiency of this approach in finding the optimal aggregation scheme which require the minimum transmission power, maintaining the quality of service (QoS) constraint of each user, is evaluated through simulations, providing comments and remarks about the obtained results.