Energy efficient relay selection and resource allocation in D2D-enabled mobile edge computing

Y Li, G Xu, K Yang, J Ge, P Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In order to improve resource utilization and network capacity, we propose the Device-to-
Device (D2D) enabled Mobile Edge Computing (MEC) system, where multiple Smart …

Energy minimization for D2D-assisted mobile edge computing networks

Y Kai, J Wang, H Zhu - ICC 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
This paper addresses the energy minimization problem in Device-to-Device (D2D) assisted
Mobile Edge Computing (MEC) networks under the latency constraint of each individual task …

Energy-efficient collaborative task offloading in D2D-assisted mobile edge computing networks

J Zhou, X Zhang, W Wang… - 2019 IEEE Wireless …, 2019 - ieeexplore.ieee.org
With emerging requirement of local low-latency services, Mobile Edge Computing (MEC) is
a promising solution to tackle the challenge between urgent demands for computation …

Computation offloading and resource allocation in D2D-enabled mobile edge computing

J Feng, L Zhao, J Du, X Chu… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
In this paper, we develop computation offloading scheme based on device-to-device (D2D)
communications. The scheme is proposed for effective computation execution where some …

Energy-efficient resource allocation for mobile edge computing with multiple relays

X Li, R Fan, H Hu, N Zhang, X Chen… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The merging of Internet of Things (IoT) and mobile edge computing (MEC) enables resource-
limited IoT devices to complete computation-intensive or urgent task through offloading the …

Joint task assignment and resource allocation for D2D-enabled mobile-edge computing

H Xing, L Liu, J Xu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With the proliferation of computation-extensive and latency-critical applications in the 5G
and beyond networks, mobile-edge computing (MEC) or fog computing, which provides …

Towards energy-efficient underlaid device-to-device communications: A joint resource management approach

R Zhang, C Qi, Y Li, Y Ruan, CX Wang, H Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
With increasing demands of green wireless communications, energy-efficient device-to-
device (D2D) communications have attracted increasing attention. However, with resource …

JOAGT: Latency-oriented joint optimization of computation offloading and resource allocation in D2D-assisted MEC system

X Wang, Y Han, H Shi, Z Qian - IEEE Wireless Communications …, 2022 - ieeexplore.ieee.org
Driven by the visions of Internet of Things and 5G communications, mobile edge computing
(MEC) as a new paradigm promises dramatic reduction in latency. In recent years, an …

[HTML][HTML] D2D-Assisted Multi-User Cooperative Partial Offloading in MEC Based on Deep Reinforcement Learning

X Guan, T Lv, Z Lin, P Huang, J Zeng - Sensors, 2022 - mdpi.com
Mobile edge computing (MEC) and device-to-device (D2D) communication can alleviate the
resource constraints of mobile devices and reduce communication latency. In this paper, we …

Socially-aware energy-efficient task partial offloading in MEC networks with d2d collaboration

H Long, C Xu, G Zheng, Y Sheng - IEEE Transactions on Green …, 2022 - ieeexplore.ieee.org
The future wireless network will face demands of massive connectivity and intensive
computation with the increase of mobile devices. Mobile edge computing (MEC) and Device …