Intelligent massive MIMO systems for beyond 5G networks: An overview and future trends
Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …
potential of challenging large-scale problems in conventional massive multiple-input …
On dynamic channel emulation in sector MPAC for over-the-air testing of beamformed massive MIMO devices
In this article, novel emulation strategies for the sectored multiple probe anechoic chamber
(SMPAC) are proposed to enable the reliable evaluation of the massive multiple-input …
(SMPAC) are proposed to enable the reliable evaluation of the massive multiple-input …
Graph neural networks-based user pairing in wireless communication systems
Recently, deep neural networks have emerged as a solution to solve NP-hard wireless
resource allocation problems in real-time. However, multi-layer perceptron (MLP) and …
resource allocation problems in real-time. However, multi-layer perceptron (MLP) and …
[HTML][HTML] Domain selective two-stage beamforming in 3D massive MIMO
In this paper, a two-stage beamforming scheme called domain selective neighbor-based
joint spatial division and multiplexing (DS-NJSDM) scheme is proposed to reduce the …
joint spatial division and multiplexing (DS-NJSDM) scheme is proposed to reduce the …
[PDF][PDF] Intelligent Massive MIMO Systems for Beyond 5G Networks: An Overview and Future Trends
Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …
potential of challenging large-scale problems in conventional massive multiple-input …