Optimal user scheduling in multi antenna system using multi agent reinforcement learning
Multiple Input Multiple Output (MIMO) systems have been gaining significant attention from
the research community due to their potential to improve data rates. However, a suitable …
the research community due to their potential to improve data rates. However, a suitable …
Reinforcement learning-based user scheduling and resource allocation for massive MU-MIMO system
G Bu, J Jiang - 2019 IEEE/CIC International Conference on …, 2019 - ieeexplore.ieee.org
User Scheduling and resource allocation in massive multi-user multiple-input multiple-
output (MU-MIMO) systems can be regarded as a multi-objective optimization problem from …
output (MU-MIMO) systems can be regarded as a multi-objective optimization problem from …
A joint antenna and user selection scheme for multiuser MIMO system
M Naeem, DC Lee - Applied Soft Computing, 2014 - Elsevier
In this paper, we present a low-complexity algorithm for real-time joint user scheduling and
receive antenna selection (JUSRAS) in multiuser MIMO systems. The computational …
receive antenna selection (JUSRAS) in multiuser MIMO systems. The computational …
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) …
Multiuser scheduling algorithm for 5G IoT systems based on reinforcement learning
Z Li, S Pan, Y Qin - IEEE Transactions on Vehicular Technology, 2022 - ieeexplore.ieee.org
MU-MIMO technology is adopted in 5G to support the increasing number of user terminals
accessing the 5G IoT systems. The algorithms adopted in the existing literatures for user …
accessing the 5G IoT systems. The algorithms adopted in the existing literatures for user …
Joint antenna selection and user scheduling in downlink multi-user MIMO systems
Massive Multi-Input Multi-Output (M-MIMO) is considered as a potential technology for the
next generation wireless communication. A large number of antennas are deployed at both …
next generation wireless communication. A large number of antennas are deployed at both …
Joint user scheduling and beam selection in mmWave networks based on multi-agent reinforcement learning
In this paper, we consider a multi-cell downlink mmWave communication network and
investigate an efficient transmission scheme for all base stations. Since the beams are …
investigate an efficient transmission scheme for all base stations. Since the beams are …
Support vector machine-based transmit antenna allocation for multiuser communication systems
In this paper, a support vector machine (SVM) technique has been applied to an antenna
allocation system with multiple antennas in multiuser downlink communications. Here, only …
allocation system with multiple antennas in multiuser downlink communications. Here, only …
Genetic and greedy user scheduling for multiuser MIMO systems with successive zero-forcing
RC Elliott, S Sigdel, WA Krzymien… - 2009 IEEE …, 2009 - ieeexplore.ieee.org
In this paper we consider efficient and low complexity scheduling algorithms for multiuser
multiple-input multiple-output (MIMO) systems. The optimal user scheduling involves an …
multiple-input multiple-output (MIMO) systems. The optimal user scheduling involves an …
Joint antenna and user selection algorithm for uplink of multiuser mimo systems using sequential monte carlo optimization
Y Zhang, C Ji, WQ Malik, Y Liu… - 2007 IEEE/SP 14th …, 2007 - ieeexplore.ieee.org
A cross-layer optimization design is developed for the uplink of multiuser multiple-input
multiple-output (MIMO) systems, in which the user-based selection scheduling is executed at …
multiple-output (MIMO) systems, in which the user-based selection scheduling is executed at …