Abstract: This work presents a machine-learning-driven framework for designing single- and dual-polarized, four-port MIMO antennas for in-band full-duplex (FD MIMO) operation. A symmetry-constrained, ...
Abstract: Deep learning is promising to enhance the accuracy and reduce the overhead of channel state information (CSI) feedback, which can boost the capacity of frequency division duplex (FDD) ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results