Pilot Allocation for Iteration Reduction of Channel Estimation Using MF-Based Interpolation

Abstract

This paper studies an iteration reduction of channel estimation method using matrix factorization (MF) based interpolation. It is important to set the initial value close to the optimal solution to reduce the iteration. To obtain an appropriate initial value, exploiting the existing methods with low computational complexity such as linear interpolation is reasonable. While MF-based interpolation can achieve high accuracy when randomly determined pilot symbol allocation, it is not suitable for the existing method. This paper proposes a pilot allocation where fixed position and the randomly determined position are mixed to perform both the linear interpolation and MF-based interpolation. Computational simulation result shows the iteration reduction by the proposed pilot symbol allocation.