Monte Carlo Channel Estimation Simulation in MIMO-OFDM for New Radio signals for Precise indoor signalling and Carrier phase reception in 5G Network
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Abstract
The initial phase in finding 5G New Radio (NR) cells is to conduct a thorough analysis of the system's cross-layer frame structure. A PSS temporal synchrony approach is suggested for MATLAB simulations with frequency offsets because of how well it works. Crucial for high-speed wireless communication is multiple-input multiple-output orthogonal frequency division multiplexing, which can achieve spectral efficiency and prevent multipath fading. To recover supplied data effectively, receivers in MIMO orthogonal frequency division multiplexing systems need to make correct channel estimates. The efficacy of Monte Carlo estimation in MIMO-OFDM systems is investigated in this paper using Monte Carlo simulations with basic channel conditions.
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Mr. Sumit Chafale, Dr. V. K. Taksande, & Dr. S.A. Dhale. (2024). Monte Carlo Channel Estimation Simulation in MIMO-OFDM for New Radio signals for Precise indoor signalling and Carrier phase reception in 5G Network. Educational Administration: Theory and Practice, 30(5), 8309–8320. https://doi.org/10.53555/kuey.v30i5.4356
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