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Signal-to-Noise Ratio (SNR) is a crucial parameter for adaptive transmission in Orthogonal Frequency Division Multiplexing (OFDM) systems. For the OFDM-based Multicast/ Broadcast over Single Frequency Network (MBSFN) system, the downlink transmission channels is quite frequency selective, which is a great challenge for SNR estimation in user terminals with simple implementation. The authors develop a pilot assisted algorithm operated in transform domain to improve estimation performance. The proposed estimation algorithm is robust to frequency and time selectivity, and is suited to different pilot patterns.
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