A Speed Increase Scheme and Energy Saving Algorithm for Indoor Split-Level 5G Based on Passive Frequency Conversion Technology

The current trends and construction status of 5G indoor and outdoor services have been analyzed, revealing issues such as mismatches between operator construction approaches and actual traffic patterns, as well as energy wastage during periods of low load. To address these challenges, a novel 6-radio frequency (RF) port, 4-data channel multi-band hybrid 5G passive frequency shifting Remote Radio Unit (RRU) has been designed. This design integrates the developed RRU with multi-channel joint transceiver technology and is equipped with remote passive frequency shifting antennas. This combination achieves the effect of transmitting four signals through a single feeder line in multi-story structures. Compared to previous passive frequency shifting solutions, this design offers an improvement in downlink speeds by approximately 50%. Additionally, this paper proposes various system operational strategies and utilizes the Long Short-Term Memory (LSTM) algorithm to predict the traffic load handled by indoor base stations. Simulation results confirm that the prediction accuracy of the algorithm exceeds 90%. Based on these predictions, the system dynamically adjusts its operational strategies to achieve further energy savings without compromising user speeds. Simulation results indicate that, under typical scenarios, the proposed algorithm can reduce energy consumption by more than 20%. In conclusion, the proposed design and operational strategies offer a promising solution to enhance 5G signal transmission efficiency and reduce energy wastage, aligning with the growing demand for sustainable and efficient communication networks.