Joint resource allocation and cache placement for location-aware multi-user mobile-edge computing

J Chen, H Xing, X Lin, A Nallanathan… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the growing demand for latency-critical and computation-intensive Internet of Things
(IoT) services, the IoT-oriented network architecture, mobile-edge computing (MEC), has …

Joint cache placement and bandwidth allocation for FDMA-based mobile edge computing systems

J Chen, H Xing, X Lin, S Bi - ICC 2020-2020 IEEE International …, 2020 - ieeexplore.ieee.org
With the proliferation of Internet of things (IoT) devices and their growing demand for
computation-extensive and real-time services, fog computing or mobile edge computing …

Computation offloading and service caching for mobile edge computing under personalized service preference

SW Ko, SJ Kim, H Jung, SW Choi - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) has emerged as an attractive solution by executing
computation-intensive services at a powerful edge server instead of mobiles. Two types of …

Delay optimization strategy for service cache and task offloading in three-tier architecture mobile edge computing system

L Li, H Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
As more and more compute-intensive and delay-sensitive applications are deployed on
smart mobile devices, mobile edge computing is considered an effective way to solve the …

Computation offloading via Sinkhorn's matrix scaling for edge services

L Wang, Y Zhang, S Chen - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Mobile-edge computing (or MEC) has aroused a wide attention at the 5th generation mobile
networks (5G) communication era. Different edge servers (such as cloudlets, micro data …

Adaptive request scheduling and service caching for MEC-assisted IoT networks: An online learning approach

D Ren, X Gui, K Zhang - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) is a new paradigm to meet the demand of resource-
hungry and latency-sensitive services by enabling the placement of services and execution …

Service caching decision‐making policy for mobile edge computing using deep reinforcement learning

H Ke, H Wang, K Yang, H Sun - IET Communications, 2023 - Wiley Online Library
Mobile user terminals in 5G networks can generate massive computational workloads,
which require sufficient computation and caching resources, and the processors of user …

Joint optimization of service caching placement and computation offloading in mobile edge computing systems

S Bi, L Huang, YJA Zhang - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
In mobile edge computing (MEC) systems, edge service caching refers to pre-storing the
necessary programs for executing computation tasks at MEC servers. Service caching …

[HTML][HTML] Collaborative computation offloading and resource allocation in cache-aided hierarchical edge-cloud systems

Y Lan, X Wang, C Wang, D Wang, Q Li - Electronics, 2019 - mdpi.com
The hierarchical edge-cloud enabled paradigm has recently been proposed to provide
abundant resources for 5G wireless networks. However, the computation and …

[HTML][HTML] Deep reinforcement learning-based joint task offloading and bandwidth allocation for multi-user mobile edge computing

L Huang, X Feng, C Zhang, L Qian, Y Wu - Digital Communications and …, 2019 - Elsevier
The rapid growth of mobile internet services has yielded a variety of computation-intensive
applications such as virtual/augmented reality. Mobile Edge Computing (MEC), which …