… In addition, deep learning methods have also been applied in channel estimation to reduce
… Contributions To acquire the CSI of the time-varying channels in a RISassisted MU-MISO …

… performance, we propose an efficient deep learning based approach to solve the SLP design
problem (3). The trained deep learning network can construct a directly mapping function …

… deep learning enabled energy efficient beamforming design for multi-user (MU) multipleinput
single-output (MISO… Then, the MU-MISO network is reformulated into a graph and input into …

… We consider a MU-MISO system in DL where a base station (BS) equipped with an antenna
array with M omnidirectional antenna elements serves K user equipments (UEs), each with …

… A deep learning model which is called the long short-term memory (Bi-LSTM) model can
tackle this issue due to its good learning capability and it plays a vital role in enhancing SE. Bi-…

… MU)-multiple input single output (MISO) system is proposed. To be more specific, firstly, the
full passive RIS MISO … In contrast, we proposed a RIS based CE for MU-MISO communication …

… We consider a multi-user MISO system in the downlink equipped with Mt transmit antennas
serving K single-antenna users. We consider the scenario of a limited number of scattering …

… 1, we consider the downlink transmission of the RIS-assisted MU-MISO system. The AP is
equipped with M antennas to simultaneously serve K single-antenna users. To improve the …

… -then-WIT protocol for MISO WPIFCs, consisting of FL and BL … • Under a realistic two-way
communication strategy for MISO … to optimize the performance of MISO WPIFCs over two-way …

This paper aims to maximize the weighted sum rate of a multi-user multiple-input single-output
system that is assisted by reconfigurable intelligent surfaces (RIS). However, optimizing …