Sparse representation for Massive MIMO Satellite channel based on Joint
Dictionary Learning
- Guan Qingyang
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Abstract
In this paper, we investigate joint dictionary representation for
Massive MIMO satellite channel and discuss the representation
performance. What kind of the dictionary model is satisfied for channel
representation is still an unknown field. This paper mainly focuses on
the analysis of the joint dictionary for channel representation
including uplink and downlink. The main contributions are as follows.
Firstly, the conditional constraints for satellite channel
representation have been established with joint dictionary, including
both uplink constraints and downlink constraints. Secondly, the maximum
boundary that dictionary learning can represent channel characteristics
is determined, that is, the optimal approximation of channel dictionary
was achieved. Finally, channel sparse representation method for joint
SVD decomposition at dictionary boundary conditions is proposed.