A DRL-based automated algorithm selection framework for cross-layer QoS-aware scheduling and antenna allocation in massive MIMO systems

CW Huang, I Althamary, YC Chou, HY Chen… - IEEE …, 2023 - ieeexplore.ieee.org
Massive multiple-input-multiple-output (MIMO) systems support advanced applications with
high data rates, low latency, and high reliability in next-generation mobile networks …

Resource allocation and hybrid OMA/NOMA mode selection for non-coherent joint transmission

H Shao, H Zhang, L Sun, Y Qian - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Supporting non-orthogonal multiple access (NOMA) in non-coherent joint transmission
(NCJT) systems is beneficial for improving spectral efficiency (SE), but the interference …

A low-complexity algorithm for the joint antenna selection and user scheduling in multi-cell multi-user downlink massive MIMO systems

S Maimaiti, G Chuai, W Gao, K Zhang, X Liu… - EURASIP Journal on …, 2019 - Springer
The massive MIMO (multiple-input multiple-output) technology plays a key role in the next-
generation (5G) wireless communication systems, which are equipped with a large number …

Computationally efficient scheduling schemes for multiple antenna systems using evolutionary algorithms and swarm optimization

P Pattanayak, P Kumar - Evolutionary computation in …, 2020 - Wiley Online Library
Current and next generation wireless communication systems provide high sum‐rate and
better reliability. This requires multi‐antenna systems, where multiple antennas are required …

Distributed Adaptive Multiuser Scheduling via Multi-Agent Reinforcement Learning in Multicell MIMO Cellular Networks

S Bai, Z Gao, X Liao, X Sun - 2024 IEEE 99th Vehicular …, 2024 - ieeexplore.ieee.org
In multicell cellular networks, coordinated multiuser scheduling (CMUS) based on block
diagonalization precoding, which jointly selects the scheduled users among multiple base …

User Selection and Power Allocation in Massive multiuser MIMO Systems

S Maimaiti, G Chuai, W Gao, K Zhang… - 2019 IEEE Globecom …, 2019 - ieeexplore.ieee.org
In this paper, we investigate a user selection and power allocation scheme to decrease the
system complexity and power consumption of downlink massive multiuser multipleinput …

Machine-learning-based user group and beam selection for coordinated millimeter-wave systems

SL Ju, N Kim, KS Kim - International journal of advanced smart …, 2020 - koreascience.kr
In this paper, to improve spectral efficiency and mitigate interference in coordinated
millimeter-wave systems, we proposes an optimal user group and beam selection scheme …

Coordinated Massive MIMO with Power Control: An Efficient Solution for MU & SU-MIMO Scheduling

C van Rensburg, I Al Falujah - 2021 IEEE 93rd Vehicular …, 2021 - ieeexplore.ieee.org
In this paper we propose an optimal strategy to do rank adaptation, power control and user
selection (pairing) for both Single-User (SU) & Multi-User (MU) MIMO in Massive MIMO (MM) …

Successive Location Information Assisted User Selection for Massive MIMO Systems

Y Tian, H Zhu, Z Chen, Z Shen - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Massive multi-input multi-output (Massive MIMO) technology is considered as one of the
most breakthrough technologies in the fifth generation wireless communication networks …

Closed-form algorithms for computing the intersection of two subspaces

Y Fenggang, L Shuai, W Jun… - Journal of Systems …, 2019 - ieeexplore.ieee.org
Finding the intersection of two subspaces is of great interest in many fields of signal
processing. Over several decades, there have been numerous formulas discovered to solve …