An overview on resource allocation techniques for multi-user MIMO systems
E Castaneda, A Silva, A Gameiro… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
Remarkable research activities and major advances have been occurred over the past
decade in multiuser multiple-input multiple-output (MU-MIMO) systems. Several …
decade in multiuser multiple-input multiple-output (MU-MIMO) systems. Several …
The four-C framework for high capacity ultra-low latency in 5G networks: A review
Network latency will be a critical performance metric for the Fifth Generation (5G) networks
expected to be fully rolled out in 2020 through the IMT-2020 project. The multi-user multiple …
expected to be fully rolled out in 2020 through the IMT-2020 project. The multi-user multiple …
A new approach to user scheduling in massive multi-user MIMO broadcast channels
In this paper, a new two-phase-feedback-based user-scheduling-and-beamforming method
is proposed for multi-user multiple-input multiple-output downlink in the context of two-stage …
is proposed for multi-user multiple-input multiple-output downlink in the context of two-stage …
Low-complexity downlink user selection for massive MIMO systems
In this paper, we propose a pair of low-complexity user selection schemes with zero-forcing
precoding for multiuser massive multiple-input-multiple-output downlink systems, in which …
precoding for multiuser massive multiple-input-multiple-output downlink systems, in which …
Deep reinforcement learning based efficient access scheduling algorithm with an adaptive number of devices for federated learning IoT systems
Z Guan, Z Wang, Y Cai, X Wang - Internet of Things, 2023 - Elsevier
With the widespread application of Internet of Things (IoT), its energy consumption is
becoming a major concern. Federated Learning (FL) allows multiple low-power devices to …
becoming a major concern. Federated Learning (FL) allows multiple low-power devices to …
[HTML][HTML] Capacity maximizing in massive MIMO with linear precoding for SSF and LSF channel with perfect CSI
The capacity of a massive MIMO cellular network depends on user and antenna selection
algorithms, and also on the acquisition of perfect Channel State Information (CSI). Low …
algorithms, and also on the acquisition of perfect Channel State Information (CSI). Low …
User scheduling and antenna topology in dense massive MIMO networks: An experimental study
A massive MIMO network can serve ten's of users simultaneously. However, in dense
scenarios the users are potentially closely-spaced, potentially resulting in substantial inter …
scenarios the users are potentially closely-spaced, potentially resulting in substantial inter …
A contemporary review on user scheduling techniques and feedback reduction strategies towards the development of 5G and beyond communications
User scheduling (US) is the process of dynamic selection of the set of active users out of all
available users to serve in each time slot. This is done to optimize the system performance …
available users to serve in each time slot. This is done to optimize the system performance …
[PDF][PDF] Performance Analysis of Massive Multi-input and Multi-output with Imperfect Channel State Information.
Accepted: 18 July 2019 The type and state of the fading channel directly affect the
performance of massive multi-input and multi-output (MIMO) system. For example, the small …
performance of massive multi-input and multi-output (MIMO) system. For example, the small …
On the throughput of large-but-finite MIMO networks using schedulers
This paper studies the sum throughput of the multi-user multiple-input-single-output
networks in the cases with a large-but-finite number of transmit antennas and users …
networks in the cases with a large-but-finite number of transmit antennas and users …