Energy-efficient precoding in electromagnetic exposure-constrained uplink multiuser MIMO
User electromagnetic (EM) exposure is continuously being exacerbated by the evolution of
multi-antenna portable devices. To mitigate the effects of EM radiation, portable devices …
multi-antenna portable devices. To mitigate the effects of EM radiation, portable devices …
Deep reinforcement learning based intelligent user selection in massive MIMO underlay cognitive radios
Z Shi, X Xie, H Lu - IEEE Access, 2019 - ieeexplore.ieee.org
Cognitive radio (CR) and massive multiple-input multiple-output (MIMO) have attracted
much interest recently due to the amazing ability to accommodate more users and improve …
much interest recently due to the amazing ability to accommodate more users and improve …
Adaptive user pairing in multi-IRS-aided massive MIMO-NOMA networks: Spectral efficiency maximization and deep learning design
RHY Perdana, TV Nguyen, B An - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, we propose an adaptive user pairing (AUP) scheme in multi-intelligent
reflecting surface (IRS)-aided massive multiple-input multiple-output (MIMO)-non-orthogonal …
reflecting surface (IRS)-aided massive multiple-input multiple-output (MIMO)-non-orthogonal …
Active RIS-aided EH-NOMA networks: a deep reinforcement learning approach
Z Shi, H Lu, X Xie, H Yang, C Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
An active reconfigurable intelligent surface (RIS)-aided multi-user downlink communication
system is investigated, where non-orthogonal multiple access (NOMA) is employed to …
system is investigated, where non-orthogonal multiple access (NOMA) is employed to …
An unsupervised learning paradigm for user scheduling in large scale multi-antenna systems
The tremendous growth of mobile networking and Internet of Things (IoT) demands efficient
and reliable service for massive wireless systems. Multi-input-multi-output (MIMO) …
and reliable service for massive wireless systems. Multi-input-multi-output (MIMO) …
Deep learning based efficient symbol-level precoding design for MU-MISO systems
The recently emerged symbol-level precoding (SLP) technique has been regarded as a
promising solution in multi-user wireless communication systems, since it can convert …
promising solution in multi-user wireless communication systems, since it can convert …
A novel SCA-based method for beamforming optimization in IRS/RIS-assisted MU-MISO downlink
In this letter, we consider the fundamental problem of jointly designing the transmit
beamformers and the phase-shifts of the intelligent reflecting surface (IRS)/reconfigurable …
beamformers and the phase-shifts of the intelligent reflecting surface (IRS)/reconfigurable …
Practical channel estimation and phase shift design for intelligent reflecting surface empowered MIMO systems
In this paper, channel estimation techniques and phase shift design for intelligent reflecting
surface (IRS)-empowered single-user multiple-input multiple-output (SU-MIMO) systems are …
surface (IRS)-empowered single-user multiple-input multiple-output (SU-MIMO) systems are …
Increasing energy efficiency of massive-MIMO network via base stations switching using reinforcement learning and radio environment maps
Energy Efficiency (EE) is of high importance while considering Massive Multiple-Input
Multiple-Output (M-MIMO) networks where base stations (BSs) are equipped with an …
Multiple-Output (M-MIMO) networks where base stations (BSs) are equipped with an …
Energy efficiency and spectral efficiency tradeoff in RIS-aided multiuser MIMO uplink transmission
The emergence of reconfigurable intelligent surfaces (RISs) enables us to establish
programmable radio wave propagation that caters for wireless communications, via …
programmable radio wave propagation that caters for wireless communications, via …