… is developed for the introduced WESN MIMO-OFDM symbol detector using both comb and
… based symbol detector over state-of-the-art symbol detectors when the number of OFDM sub-…

… symbol detection approach for MIMO-OFDM systems. Specifically, two recursive methods
for the real-time symbol-by-symbol … for ESN training, our symbol detection approach not only …

… : the MIMO-OFDM system model and the ML symbol detection algorithm … In Section 3, the
DE algorithm used for symbol detection is … of the symbol detection in the MIMO-OFDM system. …

… Though a reduced-complexity symbol detection scheme [10] … incorporated into the MIMO-OFDM
symbol detector, the hardware … architecture for MIMO-OFDM symbol detectors in which …

… In our systems, one OFDM training symbol is transmitted from each transmit antenna for
EM-based channel estimation at the receiver. The EM algorithm [5] is an iterative method to …

… In Section II, we introduce MIMO-OFDM systems based on … signal detection and decoding
techniques for MIMO-OFDM … exactly 252 symbols, to form an OFDM block. Therefore, the …

… Abstract—In this paper, we investigate online learning-based MIMO-OFDM symbol detection
strategies focusing on a special recurrent neural network (RNN) – reservoir computing (RC)…

… a testing set which is chosen as the 13 MIMOOFDM symbols next to the training set; We
run 100 times of this training and testing procedure while using channels generated on the fly. …

… multiplexing (OFDM) for MIMO channels (MIMO-OFDM) is … The MIMO-OFDM system uses
two independent space-time … exactly 252 symbols, to form an OFDM block. Therefore, the …

… existing symbol detection methods for MIMO-OFDM systems in … for symbol detection in
MIMOOFDM systems, which takes advantage of the inherent structure knowledge of MIMO-OFDM …