Coordinated Multi-Point (CoMP) Adaptive Estimation and Prediction Schemes Using Superimposed and Decomposed Channel Tracking
Performance of future wireless technologies will depend heavily on cooperation between different transmission/reception nodes in the access network. CoMP (Coordinated Multi-Point) transmission increases the cell edge user performance by reducing the inter-cell interference. UEs (User Equipments) simultaneously receive data from multiple base stations (eNBs) grouped into a joint transmission cluster. Clustering choices need to be optimized by joint use of CoMP adaptive channel estimation and prediction schemes for energy efficiency and capacity improvements. In this paper, various multi-point (multi-eNB) channel estimation/prediction schemes are proposed and analyzed to improve the joint transmission set clustering accuracy.