End-to-end resource allocation strategy based on SCA algorithm in electric power integrated networks

The electric power fusion network represents a wireless core backbone specialized network that utilizes 5th generation (5G) short slicing and 4th generation (4G) short multiplexing technologies. It aims to meet the high bandwidth, low latency, and broad connection requirements of smart grids while simultaneously leveraging the extensive coverage of existing 4G networks to ensure the secure, controllable, and economical carriage of electricity services. However, due to the heterogeneous nature of the 4G/5G integrated electric power network, current methods face challenges in the user access short slicing process, characterized by low resource utilization rates and high user resource leasing costs. This issue complicates efficient end-to-end resource allocation within the electric power fusion network. To address this problem, this paper introduces an end-to-end slicing wireless resource allocation strategy based on the Sine Cosine Algorithm (SCA). This strategy comprehensively considers communication delay and resource leasing costs, establishing a cost function model to conduct a holistic assessment of resource allocation. By employing the SCA algorithm for optimization, the proposed strategy leverages its advantages such as fewer parameters, simple structure, easy implementation, and fast convergence speed to identify the optimal resource allocation scheme when the cost function is minimized. Simulation results demonstrate that, compared to methods with fixed costs, the proposed strategy exhibits lower access latency and rental costs.