Research On Energy Efficiency In CoMP Cellular Networks Based On Dynamic Clustering

In the last decades, the desire to provide energy saving technologies while meeting the increasing serious problem induced by rapid development of wireless communication guarantees the growing interest in energy efficiency. As a key technology employed by 5G in the future, dense network brings an improvement in system capacity, which also leads to a great demand for energy. We focus here on energy efficiency and research on energy efficiency in CoMP cellular network based on dynamic clustering.Firstly, we analyzed the framework of SMSC and SMDC algorithm and found out several problems remained in detail, which leads to the design of SMDC_MB. Thanks to the frame structure of multiple branches employed in dynamic clustering of CoMP, the proposed algorithm can significantly improve the energy efficiency by choosing the most energy efficient competitive clustering strategy. In the performance simulation for energy efficiency, the proposed algorithm provides 5% higher than the existing algorithm.Even the SMDC_MB algorithm solved the sequential problem existed in the clustering process, there are several problems remained, such as the fixed size of clusters and an unidirectional problem existing in the clustering in SMDC. Thus, we proposed another dynamic clustering algorithm based on benefit-tree called SMDC_BT. By proposing and utilizing two novel metrics called Degree of Aspiration to Cooperate and Degree of Benefit, the proposed algorithm leads to an improvement in energy efficiency. In another dense network scenario, the SMDC_BT algorithm provides a higher achievement in energy efficiency compared with SMDC than SMDC_MB algorithm. SMDC_MB and SMDC_BT algorithm have solved a part of the problems, but some problems still remained, which leads to a further research.