… Hence, a deep learning based efficient MIMO detection … for MIMO detection, we apply
these two networks with a close number of total parameters to fairly perform 4×4 MIMO detection …

… MIMO detector … detector which assumes perfect channel knowledge. This occurs independently
of the amount of error in the initial channel estimate Z, and is also true when no channel …

… converge in time-varying channels. On the other hand, the model-driven … detector utilizes
the expert knowledge to alleviate the impact of channels and achieves relatively high detection …

… of MIMO receivers with perfect knowledge as well as with imperfect knowledge of the channel
… For the latter, we assume LS estimation [28] is used to estimate the channel matrix. For a …

… analyzed for the case of perfect channel knowledge, ie, perfect knowledge of , in the receiver
… channel knowledge. In the case of imperfect channel knowledge, the estimated channel …

… knowledge, these are some of the first results showing such high performance for a fully
learned MIMO … of the LMMSE receiver with perfect channel knowledge, even when the TTI …

… the MIMO channel is constant, and we learn a detector for a … detector must be learned for
all multiple varying channels. We … To the best of our knowledge, all of these were developed …

… , or it is completely avoided, whereas typically the statistical knowledge of the channel matrix
H is invoked for supporting signal detection. Additionally, the noncoherent MIMO detection …

… in multiple-input multiple-output (MIMO) … of channel estimation error on the symbols detection
in MIMO communication systems. We analytically propose and study two robust detection …

… In the MIMO detection problem, we assume perfect channel state … The best detection algorithm
to solve the MIMO detection … To the best of our knowledge, there is no such detectors that …