Radio and computing resource allocation with energy harvesting devices in mobile edge computing environment

C Li, W Chen, J Tang, Y Luo - Computer Communications, 2019 - Elsevier
Mobile edge computing (MEC) has been recognized as a promising technique for the
Internet of Things (IoT) era which allow the booming mobile devices offload their highly …

Utility maximization for IRS assisted wireless powered mobile edge computing and caching (WP-MECC) networks

Z Chu, P Xiao, M Shojafar, D Mi, W Hao… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This paper exploits an intelligent reflecting surface (IRS) assisted wireless powered mobile
edge computing and caching (WP-MECC) network. In particular, an IRS is utilized to reflect …

Resources allocation in SWIPT aided fog computing networks

H Chai, S Leng, J Hu, K Yang - 2017 9th International …, 2017 - ieeexplore.ieee.org
Fog computing has emerging as a promising technique to meet the ultra-low latency
services in wireless network such as Augmented Reality (AR). The fog paradigm tends to …

Green-energy-powered cognitive radio networks: Joint time and power allocation

C Xu, W Liang, H Yu - ACM Transactions on Embedded Computing …, 2017 - dl.acm.org
This article studies a green-energy-powered cognitive radio network (GCRN) in an underlay
paradigm, wherein multiple battery-free secondary users (SUs) capture both the spectrum …

Energy efficient resource allocation and computation offloading in millimeter-wave based fog radio access networks

Y Chen, B Ai, Y Niu, Z Zhong… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
As the sophisticated applications with latency constrained are difficult to operate on mobile
devices with lower computing capability, fog-computing based radio access networks (F …

Optimal online resource allocation for SWIPT-based mobile edge computing systems

H Mirghasemi, L Vandendorpe… - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
The integration of simultaneous wireless information and power transfer (SWIPT) and mobile-
edge computing (MEC) technologies is emerging as a promising technique to overcome the …

Optimal multi-user computation offloading strategy for wireless powered sensor networks

L Wang, H Shao, J Li, X Wen, Z Lu - IEEE Access, 2020 - ieeexplore.ieee.org
Wireless sensors network (WSN) is widely used for environmental monitoring, surveillance,
healthcare, and security services. One of the most critical challenges that WSN facing is the …

Joint resource allocation and configuration design for STAR-RIS-enhanced wireless-powered MEC

X Qin, Z Song, T Hou, W Yu, J Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, a novel concept called simultaneously transmitting and reflecting RIS (STAR-
RIS) is introduced into the wireless-powered mobile edge computing (MEC) systems to …

DRL-based multidimensional resource management in SWIPT-NOMA-enabled MEC

Z Shi, X Xie, H Lu, H Yang, Z Xiong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) enables communication users with limited computation
power to offload computation-intensive tasks to the edge server, thus dramatically …

Multi-IRS assisted wireless-powered mobile edge computing for Internet of Things

P Chen, B Lyu, Y Liu, H Guo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper proposes a multiple intelligent reflecting surfaces (IRSs) assisted wireless-
powered mobile edge computing (MEC) system, where the IRSs are deployed to assist both …