Artificial Intelligence in 6G Wireless Networks: Opportunities, Applications, and Challenges
Wireless technologies are growing unprecedentedly with the advent and increasing
popularity of wireless services worldwide. With the advancement in technology, profound …
popularity of wireless services worldwide. With the advancement in technology, profound …
HyDNN: A hybrid deep learning framework based multiuser uplink channel estimation and signal detection for NOMA-OFDM system
Deep learning (DL) techniques can significantly improve successive interference
cancellation (SIC) performance for the non-orthogonal multiple access (NOMA) system. The …
cancellation (SIC) performance for the non-orthogonal multiple access (NOMA) system. The …
Deep Convolutional and Recurrent Neural-Network-Based Optimal Decoding for RIS-Assisted MIMO Communication
The reconfigurable intelligent surface (RIS) is one of the most innovative and revolutionary
technologies for increasing the effectiveness of wireless systems. Deep learning (DL) is a …
technologies for increasing the effectiveness of wireless systems. Deep learning (DL) is a …
Spectral Efficiency Analysis for IRS-Assisted MISO Wireless Communication: A Metaverse Scenario Proposal
The metaverse is emerging as a next-generation internet paradigm that will enhance human
interaction and connectivity. Digital twinning, a fundamental strategy used in the metaverse …
interaction and connectivity. Digital twinning, a fundamental strategy used in the metaverse …
Temporal Neural Network Framework Adaptation in Reconfigurable Intelligent Surface-Assisted Wireless Communication
A reconfigurable intelligent surface (RIS) has potential for enhancing the performance of
wireless communication. A RIS includes cheap passive elements, and the reflecting of …
wireless communication. A RIS includes cheap passive elements, and the reflecting of …
Deep Learning Based One Bit-ADCs Efficient Channel Estimation Using Fewer Pilots Overhead for Massive MIMO System
The massive MIMO approach presents an exciting prospect for the upcoming generation of
wireless transmission systems. However, the adoption of actual massive MIMO scenarios is …
wireless transmission systems. However, the adoption of actual massive MIMO scenarios is …
Spectral Efficiency Improvement Using Bi-Deep Learning Model for IRS-Assisted MU-MISO Communication System
The intelligent reflecting surface (IRS) is a two-dimensional (2D) surface with a
programmable structure and is composed of many arrays. The arrays are used to supervise …
programmable structure and is composed of many arrays. The arrays are used to supervise …
One-Bit Channel Estimation for IRS-aided Millimeter-Wave Massive MU-MISO System
S Wang, Q Li, J Lin - IEEE Transactions on Signal Processing, 2023 - ieeexplore.ieee.org
Recently, intelligent reflecting surface (IRS)-assisted communication has gained
considerable attention due to its advantage in extending the coverage and compensating …
considerable attention due to its advantage in extending the coverage and compensating …
Deep Recurrent Neural Network Based Detector for OFDM with Index Modulation
Index modulation (IM) leads to a decrease in power consumption and transmitter complexity
compared to classical orthogonal frequency division multiplexing (OFDM) systems. The …
compared to classical orthogonal frequency division multiplexing (OFDM) systems. The …
Deep Bidirectional Learning Based Enhanced Outage Probability for Aerial Reconfigurable Intelligent Surface Assisted Communication Systems
The reconfiguration of wireless channels with reconfigurable reflecting surface (RIS)
technology offers new design options for future wireless networks. Due to its high altitude …
technology offers new design options for future wireless networks. Due to its high altitude …