77 Hits in 9.1 sec

Special Issue on Artificial-Intelligence-Powered Edge Computing for Internet of Things

Lei Yang, Xu Chen, Samir M. Perlaza, Junshan Zhang
2020 IEEE Internet of Things Journal  
In the article "A QoE-aware service-enhancement strategy for edge artificial intelligence applications," Xia et al. designed a QoE-aware service enhancement strategy for edge AI applications.  ...  In the article "Machine-learning approach for user association and content placement in fog radio access networks," Yan et al. studied the joint user association and cache placement problem in fog radio  ... 
doi:10.1109/jiot.2020.3019948 fatcat:mogalqnhnnaqpbxb7zivzdhvry

Table of Contents

2020 IEEE Transactions on Vehicular Technology  
Alves 622 QoE-Driven Transmission-Aware Cache Placement and Cooperative Beamforming Design in Cloud-RANs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Liu 361 Hybrid Analog-Digital Beamforming Design for SE and EE Maximization in Massive MIMO Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Liang 1060 Fast Beamforming Design via Deep Learning. . . . . . . . . . . . . . . . . . . . . . . . .H. Huang, Y. Peng, J. Yang, W. Xia, and G.  ... 
doi:10.1109/tvt.2019.2961921 fatcat:5hwiwrq6hbekpnzaciuur7dvom

A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions [article]

Imtiaz Parvez, Ali Rahmati, Ismail Guvenc, Arif I. Sarwat, Huaiyu Dai
2018 arXiv   pre-print
In this paper, we present a detailed survey on the emerging technologies to achieve low latency communications considering three different solution domains: RAN, core network, and caching.  ...  In this regard, we need drastic changes in network architecture including core and radio access network (RAN) for achieving end-to-end latency on the order of 1 ms.  ...  channel, symbol detection, energy-aware latency minimization, carrier aggregation in mmWave, reinforcing QoS and QoE, cloud RAN and location aware communication.  ... 
arXiv:1708.02562v2 fatcat:byyszpxcu5ew5pqlvq672tf5oa

A Review on Green Caching Strategies for Next Generation Communication Networks

M. Ishtiaque A. Zahed, Iftekhar Ahmad, Daryoush Habibi, Quoc Viet Phung, Md Munjure Mowla, Muhammad Waqas
2020 IEEE Access  
In [125] , transmission power, bandwidth, and caching resources were optimally allocated in a F-RAN.  ...  technique for Mobile Cloud Computing Cloud computing network Dynamic offloading and decision making algorithm. [121] Energy-aware link design for CRAN CRAN Algorithm based on Concave-convex procedure.  ... 
doi:10.1109/access.2020.3040958 fatcat:stj6zehnh5a3jcznqckmwwtwbe

2020 Index IEEE Transactions on Wireless Communications Vol. 19

2020 IEEE Transactions on Wireless Communications  
., and Saad, W., Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach; TWC June 2020 3908-3923 Hu, Y.H., see Xia, M., TWC June 2020 3769-3781 Hua,  ...  Identification for MIMO Systems in Dynamic Environments; TWC June 2020 3643-3657 Huang, C., see Yang, M., TWC Sept. 2020 5860-5874 Huang, D., Tao, X., Jiang, C., Cui, S., and Lu, J  ...  ., +, TWC May 2020 3361-3375 Improving Caching Efficiency in Content-Aware C-RAN-Based Cooperative Beamforming: A Joint Design Approach.  ... 
doi:10.1109/twc.2020.3044507 fatcat:ie4rwz4dgvaqbaxf3idysubc54

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  ...  downlink scenarios (e.g., collaborative, popularity-based, and context-aware).  ...  Specifically, a crosslayer optimization (i.e., video placement in the application layer and cooperative transmission in the physical layer) is proposed to jointly optimize the video caching and transmission  ... 
doi:10.1109/comst.2020.3035427 fatcat:ialgflav5nao3fwptbmyvtfhpa

A Survey on Reinforcement Learning-Aided Caching in Heterogeneous Mobile Edge Networks

Nikolaos Nomikos, Spyros Zoupanos, Themistoklis Charalambous, Ioannis Krikidis
2022 IEEE Access  
In this survey, reinforcement learning-aided mobile edge caching solutions are presented and classified, based on the networking architecture and optimization target.  ...  Mobile networks experience a tremendous increase in data volume and user density due to the massive number of coexisting users and devices.  ...  Then, in [125] , SDN and C-RAN architectures are combined for improved cooperative edge caching.  ... 
doi:10.1109/access.2022.3140719 fatcat:565r4jxrinfxtpgvuc5xfvxmle

Cache-Enabled Coordinated Mobile Edge Network: Opportunities and Challenges [article]

Shiwen He, Wei Huang, Jiaheng Wang, Ju Ren, Yongming Huang, Yaoxue Zhang
2019 arXiv   pre-print
Consequently, the application of delaysensitive and content-aware has been executed in close proximity to end users.  ...  In this article, an outlook of research directions, challenges, and opportunities is provided and discussed in depth.  ...  Conventional cloud RANs (C-RANs) have driven a paradigm shift in operation and deployment of mobile communication networks.  ... 
arXiv:1912.11626v1 fatcat:ihhmgiw5pzfi7o56f35mbbvbcy

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  ...  , C.S., see Le, T.H.T., TVT Dec. 2020 15162-15176 Hong, D., Lee, S., Cho, Y.H., Baek, D., Kim, J., and Chang, N Guo, H., Liu, J., and Zhang, Y., Toward Swarm Coordination: Topol-ogy-Aware Inter-UAV  ...  ., +, TVT July 2020 8034-8039 QoE-Driven Transmission-Aware Cache Placement and Cooperative Beamforming Design in Cloud-RANs.  ... 
doi:10.1109/tvt.2021.3055470 fatcat:536l4pgnufhixneoa3a3dibdma

2021 Index IEEE Transactions on Wireless Communications Vol. 20

2021 IEEE Transactions on Wireless Communications  
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  Note that the item title is found only under the primary entry in the Author Index.  ...  ., +, TWC May 2021 2805-2819 Energy Efficient Robust Beamforming and Cooperative Jamming Design for Exploiting Reconfigurable Intelligent Surfaces in Edge Caching: Joint Hybrid Beamforming and Content  ... 
doi:10.1109/twc.2021.3135649 fatcat:bgd3vzb7pbee7jp75dnbucihmq

Definition And Specification Of Connectivity And Qoe/Qos Management Mechanisms – Final Report

2017 Zenodo  
All the proposed modules are designed to implement the functionality needed to provide the challenging KPIs required by future 5G networks while keeping the largest possible compatibility with the state  ...  For this purpose, we defined 3 innovative controllers that embody the network slicing and multi tenancy: SDM-C, SDM-X and SDM-O.  ...  Slice-aware MM Design and joined RAN-core optimization As the signalling mechanisms defined in 3GPP LTE are inefficient for transmission of small packet payloads 5G NORMA introduces the concept of User-centric  ... 
doi:10.5281/zenodo.1120242 fatcat:yg2rtk6oovdjfiddzjdjazuifq

Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence [article]

Shuiguang Deng, Hailiang Zhao, Weijia Fang, Jianwei Yin, Schahram Dustdar, Albert Y. Zomaya
2020 arXiv   pre-print
Along with the rapid developments in communication technologies and the surge in the use of mobile devices, a brand-new computation paradigm, Edge Computing, is surging in popularity.  ...  Meanwhile, Artificial Intelligence (AI) applications are thriving with the breakthroughs in deep learning and the many improvements in hardware architectures.  ...  Service caching can also be studied in a cooperative way [23] . It leads to research opportunities where multi-agent learning can be utilized to optimize QoE in largescale edge computing systems.  ... 
arXiv:1909.00560v2 fatcat:jmg3fyagazdzfbn7duiqihagea

2021 Index IEEE Transactions on Mobile Computing Vol. 20

2022 IEEE Transactions on Mobile Computing  
Caching in Edge Cloud.  ...  Caching in Edge Cloud.  ... 
doi:10.1109/tmc.2021.3133125 fatcat:xbdfaozpkjbbjm3gfbmxcmzj6i

Resource Management in Cloud Radio Access Network: Conventional and New Approaches

Rehenuma Tasnim Rodoshi, Taewoon Kim, Wooyeol Choi
2020 Sensors  
Cloud radio access network (C-RAN) is a promising mobile wireless sensor network architecture to address the challenges of ever-increasing mobile data traffic and network costs.  ...  Moreover, other important challenges and open research issues for efficient resource management in C-RAN are highlighted to provide future research direction.  ...  fronthaul, caching, and wireless transmission.  ... 
doi:10.3390/s20092708 pmid:32397540 fatcat:hwomwvzo4ngzzj3ci5bxs6atma

Resource Management in Converged Optical and Millimeter Wave Radio Networks: A Review

Doruk Sahinel, Simon Rommel, Idelfonso Tafur Monroy
2021 Applied Sciences  
key resources similar to the available bandwidth in network communication channels.  ...  machine learning solutions and communication technologies, and the convergence of virtualized and programmable network management mechanisms towards fully integrated autonomic network resource management  ...  Finally, a joint caching, computing, and bandwidth resource allocation is designed for SDN in [83] to minimize the energy consumption consumed by content caching, data computing and traffic transmission  ... 
doi:10.3390/app12010221 fatcat:ulcj36pc55dyzc3blznphjx25q
« Previous Showing results 1 — 15 out of 77 results