Research Of Power Allocation And Limited Feedback For MIMO Systems

The key challenge faced by the next generation of wireless communication systems is how to provide transmission of data with high speed and quality of service. MIMO provides a new orientation of research. It not only heightens the reliability of data transmission, but also improves spectral efficiency and increases the capacity of wireless channels. The throughput of cell-center users can be promoted by using multiple antenna technique, unfortunately, it is useless for cell-edge users. Therefore, the multiple cells coordination is present to promote the performance of cell-edge users by coordinating.This thesis focuses on investigation of antenna selection, power allocation and limited feedback algorithm in multiple cell coordinated systems. First of all, the brief introduction of MIMO system is raised. Meanwhile, the multiple cell coordinated system model is designed. Then, the antenna selection algorithm and power allocation algorithm are researched which are used on the platform of multiple cells system. A joint antenna selection and power allocation algorithm is proposed base on the platform of multiple cells system and the performance priority is showed subsequently. Afterwards, the limited feedback system is introduced, simultaneity, analyze and simulation of element based limited feedback algorithm and vector based limited feedback algorithm are present. Finally, the dynamic limited feedback algorithm is researched, and a new adaptive feedback rate allocation algorithm is proposed according to the state of users. Furthermore, the modified schemes are raised for different scenes.