Wireless Ad Hoc Network Emergency Communication Base Station Backhaul Technology for Ultra-Large-Scale MIMO

With the rapid progress of wireless communication technology, ultra-large-scale multiple input multiple output (MIMO) and wireless self-organizing networks are prominent areas of the current research. Ultra-large-scale MIMO boosts spectral and energy efficiency by increasing base station antennas, promising great potential for future wireless systems. Combining ultra-large-scale MIMO with self-organizing networks enhances emergency communication. This study explores applying ultra-large-scale MIMO in self-organizing networks for emergency communication to tackle challenges in performance and reliability. It contributes by establishing tailored system models, analyzing channel characteristics, proposing algorithms, and validating them through simulations. By comparing with different algorithms, the EBPSO algorithm based on the BPSO optimization algorithm proposed in this paper shows better performance on the overall system model, and its convergence speed and convergence performance are also better. This makes it better able to meet the needs of emergency communication of ultra-large-scale MIMO wireless ad hoc network emergency communication base stations. The method proposed in this paper aims to solve the problem of signal transmission in emergency communication, and the purpose is to improve the spectral efficiency and stability of the system. The proposed method will promote the integration of satellite and cellular industry, realize the communication network of space–ground integration, improve the emergency communication ability, and provide support for the upgrading of the ground network.