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 …

Optimal task offloading and resource allocation for C-NOMA heterogeneous air-ground integrated power Internet of Things networks

P Qin, Y Fu, X Zhao, K Wu, J Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
By combining information communication technology with power grid, the smart grid-
oriented Power Internet of Things (PIoT) has become a critical technology to guarantee the …

[HTML][HTML] Survey on the state-of-the-art in device-to-device communication: A resource allocation perspective

T Islam, C Kwon - Ad Hoc Networks, 2022 - Elsevier
Abstract Device to Device (D2D) communication takes advantage of the proximity between
the communicating devices in order to achieve efficient resource utilization, improved …

Adaptive aggregate transmission for device-to-multi-device aided cooperative NOMA networks

Y Xu, J Tang, B Li, N Zhao, D Niyato… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
The integration of device-to-device (D2D) communications with cooperative non-orthogonal
multiple access (NOMA) can achieve superior spectral efficiency. However, the mutual …

Resource allocation for UAV-aided energy harvesting-powered D2D communications: A reinforcement learning-based scheme

YH Xu, QM Sun, W Zhou, G Yu - Ad Hoc Networks, 2022 - Elsevier
Abstract Unmanned Aerial Vehicle (UAV) has become one of the most significant
component in future wireless networks since its on-demand and cost-effective deployment …

Fedmint: Intelligent bilateral client selection in federated learning with newcomer iot devices

O Wehbi, S Arisdakessian, OA Wahab… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Federated learning (FL) is a novel distributed privacy-preserving learning paradigm, which
enables the collaboration among several participants (eg, Internet of Things (IoT) devices) …

Spectrum-efficient mode selection and fair resource allocation for D2D-enabled uplink/downlink MC-NOMA networks

A Gholamrezaee, H Farrokhi - Digital Signal Processing, 2023 - Elsevier
The application of device-to-device (D2D) communication and multi-carrier (MC) non-
orthogonal multiple access (NOMA) have been considered as promising technologies to …

Energy efficiency resource management for D2D-NOMA enabled network: A dinkelbach combined twin delayed deterministic policy gradient approach

X Wang, H Shi, Y Li, Z Qian… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, a joint cluster association and power allocation resource management scheme
is proposed in a D2D-NOMA-enabled heterogeneous network. The target is to maximize …

Energy-efficient task scheduling for mobile edge computing with virtual machine I/O interference

B Lu, J Fang, X Hong, J Shi - Future Generation Computer Systems, 2023 - Elsevier
Mobile edge computing (MEC) is expected to support the computation-intensive and delay-
sensitive applications of mobile internet users. In this paper, we investigate the resource …

Fusion of artificial intelligence and game theory for resource allocation in non‐orthogonal multiple access‐assisted device‐to‐device cooperative communication

T Rathod, R Gupta, N Kumar Jadav… - International Journal …, 2023 - Wiley Online Library
Summary Device‐to‐device (D2D) communication offers a low‐cost paradigm where two
devices in close proximity can communicate without needing a base station (BS). It …