"异构无线网络基站分簇方法研究专业硕士论文"

The research on clustering methods for base stations in heterogeneous wireless networks, conducted by Ding Shasha for her Master's thesis at North China Electric Power University, focuses on optimizing the deployment of base stations to improve network performance and efficiency. The study explores different clustering algorithms that group base stations based on various criteria such as location, coverage area, and traffic load. By clustering base stations, the network can better manage resources, reduce interference, and enhance overall communication quality. Ding Shasha's research contributes to the ongoing evolution of wireless network technologies, enabling better connectivity and service for users in diverse environments. The findings of this study have practical implications for network operators and telecommunications engineers seeking to enhance the performance of heterogeneous wireless networks. Through her rigorous investigation and analysis, Ding Shasha sheds light on the complexities of base station clustering and provides valuable insights for optimizing network architecture and performance. This Master's thesis embodies a valuable contribution to the field of electronic and communication engineering, offering innovative solutions for the design and management of modern wireless networks.