Interference Alignment With Partial CSI Feedback in MIMO Cellular Networks

INTERFERENCE ALIGNMENT:

Interferencealignment (IA) is a linear pre-coding strategy that can achieve optimal capacity scaling at high SNR in interference networks. However, most existing IA designs require full channel state information (CSI) at the transmitters, which could lead to significant CSI signaling overhead. There are two techniques, namely CSI quantization and CSI feedback filtering that reduce CSI feedback overhead. 

We consider IA processing with CSI feedback filtering in MIMO cellular networks. We introduce a novel metric, namely the feedback dimension, to quantify the first order CSI feedback cost associated with the CSI feedback filtering. The CSI feedback filtering poses several important challenges in IA processing.

 

Fig:Interferencealignment 

First, there is a hidden partial CSI knowledge constraint in IA pre-coder design, which cannot be handled using conventional IA design methodology. Furthermore, existing results on the feasibility conditions of IA cannot be applied due to the partial CSI knowledge. Finally, it is very challenging to find out how much CSI feedback is actually needed to support IA processing..

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Interference Alignment With Partial CSI Feedback in MIMO Cellular Networks