过去一年中添加的文章，按日期排序
Joint Optimization of Service Caching and Task Offloading for Customer Application in MEC: A Hybrid SAC Scheme
Y Xu, Z Peng, N Song, Y Qiu, C Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
24 天前 - … the deep reinforcement learning-based part determines the near-optimal service
caching … range of ES and can freely choose to engage in wireless communication with one of …
caching … range of ES and can freely choose to engage in wireless communication with one of …
Multi-Agent deep reinforcement learning based task offloading and caching in computing power network
W Li, Y Cai, W Wen - Journal of Physics: Conference Series, 2024 - iopscience.iop.org
67 天前 - … With the emergence and evolution of the 6G wireless communication network, MEC
… of the computing edge server (CES), the computing power of a single edge node is limited. …
… of the computing edge server (CES), the computing power of a single edge node is limited. …
Collaborative caching mechanism of nodes based on cooperative game and deep learning
N JIN, WQ ZHOU, XY ZHOU… - Journal of Beijing …, 2024 - journal.bupt.edu.cn
85 天前 - … Cooperative D2D communication in downlink cellular networks with energy harvesting
capability[C]椅2017 13th International Wireless Communications and Mobile Computing …
capability[C]椅2017 13th International Wireless Communications and Mobile Computing …
Learning-Based Joint User Association and Cache Replacement for Cache-Enabled Cloud RAN
SE Jeon, JW Jung, K Lee… - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
120 天前 - … nature of wireless mobile networks. … and cache replacement. In addition, to
see the effectiveness of the proposed DRL approach, we compare it with several learning-based …
see the effectiveness of the proposed DRL approach, we compare it with several learning-based …
Snake swarm optimization‐based deep reinforcement learning for resource allocation in edge computing environment
S Kaliraj, V Sivakumar, N Premkumar… - Concurrency and …, 2024 - Wiley Online Library
122 天前 - … Neural caching during task execution is provided by reinforcement learning based
on … After that, it increases the load in the cellular network and also cloud servers. Based on …
on … After that, it increases the load in the cellular network and also cloud servers. Based on …
Deep Reinforcement Learning Based Two-phase Proactive Caching for Collaborative Edge Networks
M Zhao, MR Nakhai - … Communications and Networking …, 2024 - ieeexplore.ieee.org
138 天前 - … edge caching system consisting of one cloud center that stores a total number of F
files, and M edge servers within the coverage of a central infostation. Each edge server is co-…
files, and M edge servers within the coverage of a central infostation. Each edge server is co-…
Perspective Indicators for Service Orchestration in Zero-touch network and Service Management Context
S Kopp, RM Silveira - 2024 7th International Conference on …, 2024 - ieeexplore.ieee.org
175 天前 - … presents a Machine Learningbased service orchestration … to configure a Machine
Learning engine based on Deep Q-… for measuring the cache hit rate is by using the cache hit …
Learning engine based on Deep Q-… for measuring the cache hit rate is by using the cache hit …
Cooperative caching algorithm for mobile edge networks based on multi-agent meta reinforcement learning
Z Wei, Y Zhao, Z Lyu, X Yuan, Y Zhang, L Feng - Computer Networks, 2024 - Elsevier
205 天前 - … , and the need to relearn network parameters for new tasks. To … reinforcement
learning-based cooperative edge caching … the multi-agent deep reinforcement learning (MADRL) …
learning-based cooperative edge caching … the multi-agent deep reinforcement learning (MADRL) …
Deep Reinforcement Learning-based computation offloading and distributed edge service caching for Mobile Edge Computing
M Xie, J Ye, G Zhang, X Ni - Computer Networks, 2024 - Elsevier
205 天前 - … Table (DHT) network and established a distributed edge cache system to reduce
system … edge caching algorithm, to establish a decentralized caching network. DECA utilizes a …
system … edge caching algorithm, to establish a decentralized caching network. DECA utilizes a …
Dependent Task Scheduling Using Parallel Deep Neural Networks in Mobile Edge Computing
206 天前 - … offloading possibilities but also cache the most successful … mobile processors
share multiple heterogeneous edge servers. We propose a deep reinforcement learning-based …
share multiple heterogeneous edge servers. We propose a deep reinforcement learning-based …