Abstract
In this paper, we consider the uplink transmission in Massive MIMO systems with OFDM over frequency selective channels. Channel state information (CSI) is essential for exploiting the potential benefits of such systems. So far, few researches have addressed the effect of pilot contamination (PC) on channel estimation. In this paper, analytical expressions on the mean square error (MSE) of two classical channel estimation algorithms in the presence of PC are presented. It is shown that minimum mean square error (MMSE) is more resistant to PC compared to least square (LS). Increasing the number of pilot subcarriers, for both algorithms, does not contribute to better suppression to PC. However, from the results given herein, a clue for mitigating PC can be obtained. The performance of LS and MMSE algorithms in the presence of PC could be improved as the increase in the length of channel impulse response (CIR) and OFDM subcarriers, respectively.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
