Compressive Sensing Based Channel Estimation for Massive MIMO Communication Systems

Table 2

CoSaMP and SUCoSaMP hypothesis.

	CoSaMP	SUCoSaMP
1.	The sparsity level s is fixed. (i.e. initialization with fixed value of sparsity level).	The sparsity level s is not fixed (i.e. initialization with sparsity level equals 1). It adaptively acquires the correct sparsity level.
2.	The sensing matrix has restricted isometry constant .	satisfies the Structure Restricted Isometric Property (SRIP) condition according to [39].
3.	The signal is random, except where prominent.	The signal is a structured sparse equivalent CIR vector.
4.	represents arbitrary noise vector	represents the Additive White Gaussian Noise of nth antenna group for zth OFDM symbol