Abstract
Green energy-saving communication is one of the important research topics for the development of 5G technology. Under the premise of widespread distribution of intensive base stations, system resource allocation and energy efficiency optimization are the keys to improving system performance. Therefore, how to effectively control system energy consumption and resource allocation has become the key to whether 5G technology can achieve effective application effects. In order to improve the energy efficiency performance of the cross-layer broadband wireless communication network system, this study combines the analysis of the broadband wireless communication system to optimize the energy efficiency of the cross-layer wireless communication system. Simultaneously, with the help of resource allocation technology, this study optimizes the multi-user underlying transport layer of the FDD-OFDMA system. In addition, this study explores the most reasonable system resource allocation method and achieves reasonable resource allocation through the optimization of energy efficiency resources in massive MIMO-OFDMA downlink systems. Finally, this study sets up a controlled experiment to analyze the algorithm’s energy efficiency performance. The research shows that the method proposed in this paper has certain effects and can provide a reference for subsequent related research.
Highlights
The rising demand of people in the era of big data has led to the continuous development of Internet technology, which has increasingly higher requirements for the speed of information transmission
This study combines the analysis of broadband wireless communication systems to optimize the energy efficiency of cross-layer and cross-band wireless communication systems
This study explores the most reasonable system resource allocation method to achieve reasonable resource allocation by optimizing the energy efficiency resources of the massive MIMO-OFDMA downlink system
Summary
The rising demand of people in the era of big data has led to the continuous development of Internet technology, which has increasingly higher requirements for the speed of information transmission. Aiming at the distribution of network resources, the currently popular method is dynamic resource allocation technology, which mainly allocates system resources based on channel status and interference received by signals, adjusts parameters, and optimizes data transmission schemes This technology can obtain higher spectrum efficiency, and effectively meet the various needs of customers. This study achieves reasonable resource allocation by optimizing the energy efficiency resources of the massive MIMO-OFDMA downlink system, thereby promoting the optimal energy efficiency of cross-layer broadband wireless communication systems in the 5G era. The focus is on energy efficiency optimization and resource allocation for cross-layer wireless communication systems in wireless communication systems, and optimization analysis is performed using multi-user parallel data transmission processes in common network communication systems as an example, and analysis of energy efficiency impact parameters is carried out. Simulation verification of system resource optimization is performed to simulate energy efficiency optimization problems in large-scale network environments
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