A comprehensive survey on radio resource management in 5G HetNets: Current solutions, future trends and open issues

B Agarwal, MA Togou, M Marco… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The 5G network technologies are intended to accommodate innovative services with a large
influx of data traffic with lower energy consumption and increased quality of service and user …

Wireless backhaul in 5G and beyond: Issues, challenges and opportunities

B Tezergil, E Onur - IEEE Communications Surveys & Tutorials, 2022 - ieeexplore.ieee.org
With the introduction of new technologies such as Unmanned Aerial Vehicle (UAV), High
Altitude Platform Station (HAPS), Millimeter Wave (mmWave) frequencies, Massive Multiple …

Deep reinforcement learning for user association and resource allocation in heterogeneous cellular networks

N Zhao, YC Liang, D Niyato, Y Pei… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Heterogeneous cellular networks can offload the mobile traffic and reduce the deployment
costs, which have been considered to be a promising technique in the next-generation …

Joint computation offloading and user association in multi-task mobile edge computing

Y Dai, D Xu, S Maharjan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Computation intensive and delay-sensitive applications impose severe requirements on
mobile devices of providing required computation capacity and ensuring latency. Mobile …

Energy efficient user association and power allocation in millimeter-wave-based ultra dense networks with energy harvesting base stations

H Zhang, S Huang, C Jiang, K Long… - IEEE Journal on …, 2017 - ieeexplore.ieee.org
Millimeter wave (mmWave) communication technologies have recently emerged as an
attractive solution to meet the exponentially increasing demand on mobile data traffic …

Mobile edge computing with wireless backhaul: Joint task offloading and resource allocation

QV Pham, LB Le, SH Chung, WJ Hwang - IEEE Access, 2019 - ieeexplore.ieee.org
Considered as a key technology in 5G networks, mobile edge computing (MEC) can support
intensive computation for energy-constrained and computation-limited mobile users (MUs) …

Energy-minimized partial computation offloading for delay-sensitive applications in heterogeneous edge networks

J Bi, H Yuan, K Zhang, MC Zhou - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile Devices (MDs) support various delay-sensitive and computation-intensive
applications. Yet they only have limited battery energy and computing resources, thereby …

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 …

Deep reinforcement learning for user association and resource allocation in heterogeneous networks

N Zhao, YC Liang, D Niyato, Y Pei… - 2018 IEEE Global …, 2018 - ieeexplore.ieee.org
Heterogeneous networks (HetNets) can offload the traffic and reduce the deployment cost,
which is regarded as a promising technique in next-generation cellular networks. Because …

Chance-constrained optimization in D2D-based vehicular communication network

Z Liu, KY Chan, K Ma, X Guan - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, a novel scheme is proposed to optimize the effectiveness of the device-to-
device (D2D) enabled vehicular communications (D2D-V), which are underlaid in cellular …