Resource allocation trends for ultra dense networks in 5G and beyond networks: A classification and comprehensive survey

N Sharma, K Kumar - Physical Communication, 2021 - Elsevier
With an exaggerating upsurge in mobile data traffic, the wireless networks are confronted
with a subtle task of enhancing their network capacity. The shortage of spectrum resources …

Federated learning for resource allocation in vehicular edge computing-enabled moving small cell networks

S Zafar, S Jangsher, A Zafar - Vehicular Communications, 2024 - Elsevier
Moving networks comprising of moving small cells (MoSCs) is an emerging technology that
provide ubiquitous connectivity to the cellular users in vehicular environment. MoSCs are …

Coexistence scheme for uncoordinated LTE and WiFi networks using experience replay based Q-learning

M Girmay, V Maglogiannis, D Naudts, A Shahid… - Sensors, 2021 - mdpi.com
Nowadays, broadband applications that use the licensed spectrum of the cellular network
are growing fast. For this reason, Long-Term Evolution-Unlicensed (LTE-U) technology is …

Energy and spectrum efficient cell switch-off with channel and power allocation in ultra-dense networks: A deep reinforcement learning approach

Z Rezaei, BS Ghahfarokhi - Computer Networks, 2023 - Elsevier
The high density of small cells in the Ultra-Dense Network (UDN) has increased the capacity
and the coverage of Fifth Generation (5G) cellular networks. However, with increasing the …

Machine learning enabled Wi-Fi saturation sensing for fair coexistence in unlicensed spectrum

M Girmay, A Shahid, V Maglogiannis, D Naudts… - IEEE …, 2021 - ieeexplore.ieee.org
In the past few years, machine learning (ML) techniques have been extensively applied to
provide efficient solutions to complex wireless network problems. As such, Convolutional …

Energy efficient train-ground mmWave mobile relay system for high speed railways

L Wang, B Ai, Y Niu, Z Zhong, S Mao… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The rapid development of high-speed railways (HSRs) puts forward high requirements on
the corresponding communication system. Millimeter wave (mmWave) can be a promising …

Device access, subchannel division, and transmission power allocation for NOMA-enabled IoT systems

J Zhang, H Zheng, Z Chen, X Chen… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In the era of the Internet of Things (IoT), it is a promising way to improve system energy utility
and better meet users' requirements for Quality of Service (QoS) via integrating …

Mandate-driven networking eco-system: A paradigm shift in end-to-end communications

I Moerman, D Zeghlache, A Shahid… - 2020 2nd 6G …, 2020 - ieeexplore.ieee.org
The wireless industry is driven by key stakeholders that follow a holistic approach of “one-
system-fits-all” that leads to moving network functionality of meeting stringent End-to-End …

Low-complexity Q-learning for Energy-aware Small-cell Networks with Integrated Access and Backhaul

J Lee, HH Choi, SC Lim, H Kim, J Na, H Lee - IEEE Access, 2023 - ieeexplore.ieee.org
An integrated access and backhaul (IAB)-enabled small-cell network commonly utilizes
frequency channels for access and backhaul links, and thus this network has a chance to …

A state based resource allocation game for distributed optimization in 5G small-cell networks

K Mawatwal, R Roy, D Sen - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
The upcoming 5G advocates efficient utilization of the existing spectrum through cell
densification using small cells. However, dense packing of small-cells over a given area …