Towards enabling critical mMTC: A review of URLLC within mMTC

SR Pokhrel, J Ding, J Park, OS Park, J Choi - IEEE access, 2020 - ieeexplore.ieee.org
Massive machine-type communication (mMTC) and ultra-reliable and low-latency
communication (URLLC) are two key service types in the fifth-generation (5G) …

A survey on multiuser SWIPT communications for 5G+

S Özyurt, AF Coşkun, S Büyükçorak, GK Kurt… - IEEE …, 2022 - ieeexplore.ieee.org
Increasing number of devices connected to the networks, applications and demands of new
generation wireless communications cause very high energy consumption resulting in large …

Joint channel allocation and resource management for stochastic computation offloading in MEC

J Ren, KM Mahfujul, F Lyu, S Yue… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
To accommodate ever-increasing computational workloads while satisfying the
requirements of delay-sensitive tasks, mobile edge computing (MEC) is proposed to offload …

Toward energy efficient and balanced user associations and power allocations in multiconnectivity-enabled mmWave networks

K Jin, X Cai, J Du, H Park, Z Tang - IEEE Transactions on Green …, 2022 - ieeexplore.ieee.org
The mmWave spectrum has been involved in the 5G wireless communication systems for its
enormous spectrum resources. However, signals over mmWave bands suffer from severe …

Energy-efficient user association in mmWave/THz ultra-dense network via multi-agent deep reinforcement learning

J Moon, S Kim, H Ju, B Shim - IEEE Transactions on Green …, 2023 - ieeexplore.ieee.org
As a key enabler for 5G and 6G wireless communications, millimeter-wave (mmWave) and
terahertz (THz) ultra-dense network (UDN) has received a great deal of attention recently …

Joint user association and resource allocation for multi-band millimeter-wave heterogeneous networks

R Liu, Q Chen, G Yu, GY Li - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Millimeter-wave (mmWave) heterogeneous network (HetNet) has been regarded as a
promising means to improve the cellular system capacity in the 5G era. In this paper, we …

Optimal resource allocation considering non-uniform spatial traffic distribution in ultra-dense networks: A multi-agent reinforcement learning approach

E Kim, HH Choi, H Kim, J Na, H Lee - IEEE Access, 2022 - ieeexplore.ieee.org
Recently, the demand for small cell base stations (SBSs) has been exploding to
accommodate the explosive increase in mobile data traffic. In ultra-dense small cell …

A machine learning adaptive beamforming framework for 5G millimeter wave massive MIMO multicellular networks

S Lavdas, PK Gkonis, Z Zinonos, P Trakadas… - IEEE …, 2022 - ieeexplore.ieee.org
The goal of this paper is to evaluate the performance of an adaptive beamforming approach
in fifth-generation millimeter-wave multicellular networks, where massive multiple-input …

Dynamic base station clustering in user-centric mmWave networks: Performance analysis and optimization

K Humadi, I Trigui, WP Zhu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In millimeter wave (mmWave) networks, base stations (BSs) are expected to be densely
deployed in order to meet the demands of mobile users. A major challenge in dense …

Intelligent beam blockage prediction for seamless connectivity in vision-aided next-generation wireless networks

MM Al-Quraan, AR Khan, L Mohjazi… - … on Network and …, 2022 - ieeexplore.ieee.org
The upsurge in wireless devices and real-time service demands force the move to a higher
frequency spectrum. Millimetre-wave (mmWave) and terahertz (THz) bands combined with …