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Jointly Caching and Computation Resource Allocation for Mobile Edge Networks

Qinqin Tang, Renchao Xie, Tao Huang, Yunjie Liu
2019 IET Networks  
To cope with the explosion of video traffic, mobile edge computing (MEC) has been introduced as a promising technology in fifth generation networks to enable caching and computing resources to transcode  ...  video contents and cache them within the edge of mobile networks.  ...  Acknowledgments We thank the reviewers for their detailed reviews and constructive comments, which have helped to improve the quality of this paper.  ... 
doi:10.1049/iet-net.2018.5111 fatcat:wlb2bv56h5aa7kq5btufeu5xom

A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges [article]

Muhammad Asif Khan, Emna Baccour, Zina Chkirbene, Aiman Erbad, Ridha Hamila, Mounir Hamdi, Moncef Gabbouj
2022 arXiv   pre-print
A detailed review of the state-of-the-art is presented covering novel caching schemes, optimal computation offloading, cooperative caching and offloading and the use of artificial intelligence (i.e., machine  ...  To meet the latency requirements and avoid the end-to-end communication with remote cloud data centers, MEC allows to store and process video content (e.g., caching, transcoding, pre-processing) at the  ...  Authors in [159] explain the trade-off between caching for high bitrate videos and caching for diversity videos. [159] propose an optimum caching algorithm to store multi-bitrates of videos at the edge  ... 
arXiv:2209.05761v1 fatcat:4kypwtf3ojfebiydfmtxqk4pzi

A Novel Distributed Media Caching Technique for Seamless Video Streaming in Multi-Access Edge Computing Networks

Emmanuel Osei-Mensah, Saqr Khalil Saeed Thabet, Chunbo Luo, Emelia Asiedu-Ayeh, Olusola Bamisile, Isaac Osei Nyantakyi, Humphrey Adun
2022 Applied Sciences  
Addressing this limitation, we propose an edge video caching scheme that dynamically caches the first part of popularity-ranked video files on Multi-Edge Computing Access Node (MAN) servers envisioned  ...  Edge caching has been proposed as a highly promising technology to overcome this challenge by placing computational and data storage resources at the network edge to reduce latency and backhaul traffic  ...  Acknowledgments: The authors would like to thank all contributors and Lab of Advanced Visual Communications and Computing-UESTC for supporting this work.  ... 
doi:10.3390/app12094205 fatcat:3y7t5h3wzjfj7ikes2yol6tq3q

Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence [article]

Peng Wei, Kun Guo, Ye Li, Jue Wang, Wei Feng, Shi Jin, Ning Ge, Ying-Chang Liang
2022 arXiv   pre-print
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond.  ...  This paper provides a comprehensive research review on RL-enabled MEC and offers insight for development in this area.  ...  With certain computing, communicating, and caching capabilities, each mobile device can locally process part of the raw data and send the rest to its corresponding MEC servers for edge processing.  ... 
arXiv:2201.11410v4 fatcat:24igkq4kbrb2pjzwf3mf3n7qtq

2021 Index IEEE Transactions on Mobile Computing Vol. 20

2022 IEEE Transactions on Mobile Computing  
Harwahyu, R., +, TMC April 2021 1408- Computation Offloading in Multi-Access Edge Computing: A Multi-Task 1419 Learning Approach.  ...  Computing: A Multi-Task Learning Approach.  ... 
doi:10.1109/tmc.2021.3133125 fatcat:xbdfaozpkjbbjm3gfbmxcmzj6i

Video Caching, Analytics and Delivery at the Wireless Edge: A Survey and Future Directions

Behrouz Jedari, Gopika Premsankar, Gazi Illahi, Mario Di Francesco, Abbas Mehrabi, Antti Yla-Jaaski
2020 IEEE Communications Surveys and Tutorials  
applications for video edge-C3; video edge computing and analytics in uplink scenarios (e.g., architectures, analytics, and applications); and video edge caching, computing and communication methods in  ...  Recently, several video-oriented mobile applications (e.g., live content sharing, gaming, and augmented reality) have leveraged edge-C3 in diverse scenarios involving video streaming in both the downlink  ...  The authors use a combination of a Stackelberg game and matching algorithm to identify videos to be cached in each base station. Mehrabi et al.  ... 
doi:10.1109/comst.2020.3035427 fatcat:ialgflav5nao3fwptbmyvtfhpa

Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence

Peng Wei, Kun Guo, Ye Li, Jue Wang, Wei Feng, Shi Jin, Ning Ge, Ying-Chang Liang
2022 IEEE Access  
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond.  ...  This paper provides a comprehensive research review on RL-enabled MEC and offers insight for development in this area.  ...  Considering the limited battery capacity and computational resources of UAVs, the cloud-edge computing framework was designed in the multi-UAV-enabled MEC system in [139] .  ... 
doi:10.1109/access.2022.3183647 fatcat:pd5z6q4innd5jl25g4r7b4nq3i

Applications of Deep Reinforcement Learning in Communications and Networking: A Survey [article]

Nguyen Cong Luong, Dinh Thai Hoang, Shimin Gong, Dusit Niyato, Ping Wang, Ying-Chang Liang, Dong In Kim
2018 arXiv   pre-print
Then, we review deep reinforcement learning approaches proposed to address emerging issues in communications and networking.  ...  This paper presents a comprehensive literature review on applications of deep reinforcement learning in communications and networking.  ...  The authors in [163] formulate the interactions between the server and a number of crowdsensing users as a Stackelberg game.  ... 
arXiv:1810.07862v1 fatcat:qc3mqk2norazvc2xnynau6bqzu

A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges [article]

Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, Jiawen Kang, Zehui Xiong, Dusit Niyato, Qiang Yang, Xuemin Sherman Shen, Chunyan Miao
2022 arXiv   pre-print
to manage physical edge resources in a decentralized, transparent, and immutable manner.  ...  Moreover, given the high computation costs required, e.g., to render 3D virtual worlds and run data-hungry artificial intelligence-driven avatars, we discuss the computation challenges and cloud-edge-end  ...  implemented in video games.  ... 
arXiv:2203.05471v2 fatcat:jhl66faxw5clnopsb5rbsopzoq

Social-Aware Edge Caching Strategy of Video Resources in 5G Ultra-Dense Network

Shijie Jia, Zhen Zhou, WeiLing Li, Youzhong Ma, Ruiling Zhang, Tianyin Wang, Alessandro Bazzi
2021 Mobile Information Systems  
In this paper, we propose a novel Social-aware Edge Caching Strategy of Video Resources in 5G Ultra-Dense Network (SECS).  ...  Because the video resources are dispersedly cached in local buffer of mobile devices of video users, the management of local video resources of video users in edge networks (e.g., caching and removing  ...  An interaction model based on Stackelberg game between the content provider and edge caching devices is designed, where content provider (game-leader) determines payment strategy of secure caching service  ... 
doi:10.1155/2021/6625629 fatcat:czpc54qqozgmxmqgvijz353svq

Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

Nguyen Cong Luong, Dinh Thai Hoang, Shimin Gong, Dusit Niyato, Ping Wang, Ying-Chang Liang, Dong In Kim
2019 IEEE Communications Surveys and Tutorials  
Then, we review deep reinforcement learning approaches proposed to address emerging issues in communications and networking.  ...  This paper presents a comprehensive literature review on applications of deep reinforcement learning in communications and networking.  ...  including edge caching and computing, multiple radio access and interference management.  ... 
doi:10.1109/comst.2019.2916583 fatcat:5owsswhhrbctnirdtxre6mhv24

Artificial Intelligence Aided Joint Bit Rate Selection and Radio Resource Allocation for Adaptive Video Streaming over F-RANs

Jienan Chen, Zhongxiang Wei, Shuai Li, Bin Cao
2020 IEEE wireless communications  
Acknowledgments This article is supported by the National Natural Science Foundation of China (Nos. 61971107, 61701059, and 61941114) and  ...  Also, the fronthaul load is released and response time is reduced by caching content at the edge.  ...  Deep reinforcement learning Classic MPC algorithm Stackelberg game- based optimization Time-step-based Lya- punov optimization Multi-agent hierarchy deep rein- forcement learning Advantages  ... 
doi:10.1109/mwc.001.1900351 fatcat:ts7cbltorzcm3mu6hdo547moqm

Follow the user: A framework for dynamically placing content using 5G-enablers

David Santos, Rui Silva, Daniel Corujo, Rui L. Aguiar, Bruno Parreira
2021 IEEE Access  
This article presents a framework for improved and efficient video delivery in scenarios featuring users moving at high speed (e.g., trains), leveraging on dynamic Multi-access Edge Computing (MEC) enabled  ...  Results showed that the proposed system was able to reduce the load on the core network by 10.9 percent and maximize the cache hit ratio to a value of 99.8 percent.  ...  Reference [39] presents a Stackelberg game-based optimization model for the distribution and coverage of edge nodes, traffic models and time span in a proactive edge caching scenario.  ... 
doi:10.1109/access.2021.3051570 fatcat:4y3ft5d4mvhb3ha4grfe5suh5q

A Survey on Cache-Aided NOMA for 6G Networks [article]

Dipen Bepari, Soumen Mondal, Aniruddha Chandra, Rajeev Shukla, Yuanwei Liu, Mohsen Guizani, Arumugam Nallanathan
2022 arXiv   pre-print
to content servers in parallel and improve the cache hit probability.  ...  On the other hand, content caching restricts duplicate data transmission by storing popular contents in advance at the network edge which reduces 6G data traffic.  ...  Mobile Edge Computing Mobile edge computing (MEC) improves the cloud computing capability by shifting computing facilities at the edge of highly latency-sensitive networks such as cloud gaming and multiplayer  ... 
arXiv:2205.05321v1 fatcat:zdsvoxspdfgzvpbxelbuqp2cnq

2020 Index IEEE Transactions on Vehicular Technology Vol. 69

2020 IEEE Transactions on Vehicular Technology  
Revocable Data-Sharing Scheme in VANETs; TVT Dec. 2020 15933-15946 Hoseini, S.A., Ding, M., Hassan, M., and Chen, Y., Analyzing the Impact of Molecular Re-Radiation on the MIMO Capacity in High-Frequency  ...  Yu, X., A Joint Design of Platoon Communication and Control Based on LTE-V2V; 15893-15907 Hong, C.S., see Nguyen, M.N.H., TVT May 2020 5618-5633 Hong, C.S., see Chen, D., TVT May 2020 5634-5646 Hong  ...  Li, C., +, TVT March 2020 3231-3243 Video Caching and Transcoding in Wireless Cellular Networks With Mobile Edge Computing: A Robust Approach.  ... 
doi:10.1109/tvt.2021.3055470 fatcat:536l4pgnufhixneoa3a3dibdma
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