Mounchili, S. and Hamouda, S. (2020) Efficient Pairing Distance for Better Radio Capacity in NOMA Systems. 2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET), Hammamet, Tunisia, 15-18 December 2020, 383-388.
https://doi.org/10.1109/IC_ASET49463.2020.9318294

has been cited by the following article:

• TITLE: Research on User Pairing Techniques Based on NOMA in Cognitive Radio Networks

  AUTHORS: Yongming Huang, Xiaoli He, Yuxin Du

  KEYWORDS: Cognitive Radio, Non-Orthogonal Multiple Access, User Grouping, Power Allocation

  JOURNAL NAME: Journal of Computer and Communications, Vol.11 No.3, March 31, 2023

  ABSTRACT: This paper outlined a Non-Orthogonal Multiple Access (NOMA) grouping transmission scheme for cognitive radio networks. To address the problems of small channel gain difference of the middle part users caused by the traditional far-near pairing algorithm, and the low transmission rate of the traditional Orthogonal Multiple Access (OMA) transmission, a joint pairing algorithm was proposed, which provided multiple pairing schemes according to the actual scene. Firstly, the secondary users were sorted according to their channel gain, and then different secondary user groups were divided, and the far-near pairing combined with (Uniform Channel Gain Difference (UCGD) algorithm was used to group the secondary users. After completing the user pairing, the power allocation problem was solved. Finally, the simulation data results showed that the proposed algorithm can effectively improve the system transmission rate.