Nearest Neighbor Decoding and Pilot-Aided Channel Estimation for Fading Channels
Nearest Neighbor Decoding and Pilot-Aided Channel Estimation for Fading Channels is a scholarly work by A Taufiq Asyhari, Tobias Koch, and Albert Guillen i Fabregas, published in 2020 in ''Entropy''. The main subjects of the publication include decoding method, 5G, channel capacity, power control, electronic circuit topology, Channel state information, Orthogonal frequency-division multiplexing, MIMO, channel, fading, computer science, statistics, mathematics, Signal to noise ratio, algorithm, and logarithm. The authors demonstrate that a scheme estimating the channel using pilot symbols and detecting the message using nearest neighbor decoding (while assuming that the channel estimation is perfect) essentially achieves the capacity pre-log of noncoherent multiple-input single-output flat-fading channels, and it essentially achieves the best so far known lower bound on the capacity pre-log of noncoherent MIMO flat-fading channels.