In this paper, we work on channel estimationtechniques for massive multiple-input multiple-output (MIMO) with Cauchy noise. In the standard massive MIMO setup, the users transmit orthonormal pilots during the training phase and the received signal in the base station is projected onto each orthonormal pilot signal. This process is optimum when the noise is Gaussian. In other words, the obtained signal after this processis the sufficient statistic and we do not lose any information. We show that this process is not optimum when the noise is Cauchy. Hence, we propose a channel estimation technique forthe unprocessed received signal. The proposed channel estimation technique is compared with the channel estimates that are obtained from the projected signal.
Funding: Swedish Foundation for Strategic Research (SSF)