Distributed Combinatorial Optimization of Downlink User Assignment in mmWave Cell-free Massive MIMO Using Graph Neural Networks
Millimeter wave (mmWave) cell-free massive MIMO (CF mMIMO) is a promising solution for
future wireless communications. However, its optimization is non-trivial due to the …
future wireless communications. However, its optimization is non-trivial due to the …
Beam Allocation based on Deep Learning for Wideband mmWave Massive MIMO
P Zhang, C Qi - ICC 2022-IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Beam allocation is considered for wideband multiuser mmWave massive MIMO systems. By
introducing the interference-free achievable rate, the analog precoder and the digital …
introducing the interference-free achievable rate, the analog precoder and the digital …
Beam selection for cell-free millimeter-wave massive MIMO systems
Q Xue, Q Li, C Dong, S Suo… - 2021 26th IEEE Asia …, 2021 - ieeexplore.ieee.org
Cell-free (CF) millimeter-wave (mmWave) Massive multiple-input multiple-output (MIMO) will
be a promising technology in the next-generation mobile communication system …
be a promising technology in the next-generation mobile communication system …
Mmwave massive MIMO: one joint beam selection combining cuckoo search and ant colony optimization
C Zhu, Q Ji, X Guo, J Zhang - EURASIP Journal on Wireless …, 2023 - Springer
In order to degrade the inter-user interference caused by the same beam selected for
different users in mmWave massive MIMO systems, this paper proposes a joint beam …
different users in mmWave massive MIMO systems, this paper proposes a joint beam …
Antenna selection based on matching theory for uplink cell-free millimetre wave massive multiple input multiple output systems
In this paper, we propose a hybrid beamforming architecture with constant phase shifters
(CPSs) for uplink cell-free millimetre-wave (mm-Wave) massive multiple-input multiple …
(CPSs) for uplink cell-free millimetre-wave (mm-Wave) massive multiple-input multiple …
Access point clustering in cell-free massive MIMO using multi-agent reinforcement learning
B Banerjee, RC Elliott, WA Krzyrnień… - 2022 IEEE 33rd …, 2022 - ieeexplore.ieee.org
Conventional massive multiple-input multiple-output (MIMO) systems provide high spectral
efficiency, throughput, and energy efficiency, but suffer from high inter-cell interference and …
efficiency, throughput, and energy efficiency, but suffer from high inter-cell interference and …
Reinforcement learning based antenna selection in user-centric massive MIMO
In this paper, we consider a user-centric massive multiple-input multiple-output (UC-MMIMO)
system, wherein the optimal antenna selection (AS) is very complicated, because of the …
system, wherein the optimal antenna selection (AS) is very complicated, because of the …
Near-optimal beam selection for beamspace mmWave massive MIMO systems
The recent concept of beamspace MIMO can utilize beam selection to reduce the number of
required radio-frequency (RF) chains in mmWave massive MIMO systems without obvious …
required radio-frequency (RF) chains in mmWave massive MIMO systems without obvious …
Genetic algorithm combined with ray tracer for optimizing cell-free mmimo topology in a confined environment
This paper proposes a customized genetic algorithm (GA) to generate the optimal cell-free
topology for multi-user massive MIMO (mMIMO) in a confined environment. As far as we …
topology for multi-user massive MIMO (mMIMO) in a confined environment. As far as we …
Cell-free millimeter-wave massive MIMO systems with limited fronthaul capacity
G Femenias, F Riera-Palou - IEEE Access, 2019 - ieeexplore.ieee.org
Network densification, massive multiple-input multiple-output (MIMO), and millimeter-wave
(mmWave) bands have recently emerged as some of the physical layer enablers for the …
(mmWave) bands have recently emerged as some of the physical layer enablers for the …