Energy Efficiency Optimization and Resource Allocation of Cross-Layer Broadband Wireless Communication System

• Published in: IEEE access Vol. 8; p. 1
• Main Authors: Dong, Zuolin, Wei, Jiahong, Chen, Xiaoyu, Zheng, Pengfei
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 5G mobile communication; Algorithms; Broadband; Clean energy; Communications systems; Cross-Layer Broadband; Data communication; Energy consumption; Energy efficiency; Green Communication; MIMO (control systems); Optimization; Resource allocation; Resource management; Resource Optimization; System Energy Efficiency; Wireless communication; Wireless communication systems; Wireless communications
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2020.2978034

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.