Downlink joint processing CoMP channel estimation with partial channel state information in LTE Advanced system

TLDR: Channel estimation with partial channel state information (CSI) for downlink CoMP is aimed and pilot based channel estimation algorithms such as least square (LS) and linear minimum mean square error (LMMSE) have been evaluated for different channel models in LTE advanced joint processing CoMP downlink.

Abstract: Coordinated Multi Point transmission and reception (CoMP) has been considered as a promising concept to enhance the throughput and coverage in cell edge area by reducing inter-cellular interference (ICI) in both the downlink and the uplink of LTE Advanced system. In CoMP significant improvement in performance gain can be achieved through base station (eNodeB) coordination by interchanging information such as user data, channel information and scheduling decision. As perfect knowledge of channel is rarely available, designing transmitter based on partial (statistical) channel state information (CSI) are of predominant importance because they encompass the perfect as well as partial-knowledge paradigms. In this paper channel estimation with partial channel state information (CSI) for downlink CoMP is aimed. Pilot based channel estimation algorithms such as least square (LS) and linear minimum mean square error (LMMSE) have been evaluated for different channel models in LTE advanced joint processing CoMP downlink. Performance of these algorithms has been measured and compared in terms of bit error rate (BER) and mean square error (MSE).