ACSSC 2021, 55th Annual Asilomar Conference on Signals, Systems, and Computers, 31 October-3 November 2021, Pacific Grove, California, USA
In this paper, we consider cell-free (CF) massive MIMO systems employing a massive number of access points (APs) geographically distributed over a wide area to jointly
serve a smaller number of users over the same time-frequency resources. We consider semi-blind methods for channel estimation in the presence of Gaussian i.i.d. data to resolve the pilot contamination. This task is further aided by exploiting prior channel information in a Bayesian formulation. We propose a variable level expectation propagation (VL-EP) algorithm for message passing (MP) style semi-blind channel estimation which provides an approximate minimum mean square error (MMSE)
channel estimator (which itself can not be found analytically). Numerical simulations verify the analytical derivations and the proposed algorithm.
Type:
Conference
City:
Pacific Grove
Date:
2021-10-31
Department:
Communication systems
Eurecom Ref:
6769
Copyright:
Asilomar
See also: