Title: A semi-grant-free scheme based on electricity information collection networks
Authors: Hu Li; Kun Wang; Huafeng Cao
Addresses: Marketing Service Center, State Grid Gansu Electric Power Company, LanZhou 730000, China ' Marketing Service Center, State Grid Gansu Electric Power Company, LanZhou 730000, China ' Marketing Service Center, State Grid Gansu Electric Power Company, LanZhou 730000, China
Abstract: In the context of the rapid development of power line communication technology in smart grid and electric energy internet, to cope with the challenge of the growth of user demand, traditional power line communication technology is difficult to meet the modern communication demand due to the limitation of transmission speed and application range. To this end, this paper proposes a semi-grant-free access power line communication system model combined with non-orthogonal multiple access (NOMA) technology, aiming to improve the system's spectral efficiency and the number of user accesses. By introducing the semi-grant-free (SGF) scheme, this paper analyses the application of SGF-NOMA in power line communication, demonstrating its advantages in improving the spectral efficiency and the system rate and guaranteeing the quality of service for users. In addition, this paper considers the impact of imperfect serial interference cancellation receivers on system performance and proposes a power optimisation algorithm to maximise the rate for low-rate users. Simulation results show that the proposed SGF-NOMA scheme can significantly improve the system throughput under different high-rate users' target rate requirements and maintain high spectral efficiency under imperfect serial interference cancellation conditions.
Keywords: power line communication; PLC; non-orthogonal multiple access; NOMA; semi-grant-free; SGF; power optimisation; successive interference cancellation; SIC.
International Journal of Security and Networks, 2025 Vol.20 No.1, pp.1 - 7
Received: 07 Nov 2024
Accepted: 20 Nov 2024
Published online: 17 Mar 2025 *