Channel Estimation of MIMO-NOMA System Based on a Variable Forgetting Factor Recursive Least Square Algorithm

The non-orthogonal multiple access (NOMA) technique for multi-input multi-output (MIMO) system is an emerging requirement for achieving high-speed spectral efficiency with low latency and massive connectivity of the devices. Instead of this in the MIMO-NOMA system to compensate the channel impairmen...

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Bibliographic Details
Published in:2021 IEEE 2nd International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC) pp. 1 - 5
Main Authors: Nayak, Ankit, Sarkar, Manidipa, Sahoo, Swetaleena, Nanda, Sarita
Format: Conference Proceeding
Language:English
Published: IEEE 26.11.2021
Subjects:
5G mobile communication
BER
Bit error rate
Channel estimation
Heuristic algorithms
Mean square error methods
MSE
NOMA
RLS
Spectral efficiency
VFFRLS
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Summary:The non-orthogonal multiple access (NOMA) technique for multi-input multi-output (MIMO) system is an emerging requirement for achieving high-speed spectral efficiency with low latency and massive connectivity of the devices. Instead of this in the MIMO-NOMA system to compensate the channel impairments increases the demand of channel estimation. In this paper, recursive least square (RLS) and variable forgetting factor recursive least square (VFFRLS) algorithms have been discussed for the channel estimation (CE) of NOMA systems. VFFRLS algorithm has been proposed to show the fast convergence rate and improved performance of the multi-user telecommunication systems than the RLS algorithm. The performance has been analyzed using mean square error (MSE) and bit error rate (BER). Therefore, to combat the channel dynamics, the VFFRLS CE algorithm is better to use for NOMA systems.
DOI:10.1109/AESPC52704.2021.9708457