The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks
Open accessAbstract
Mobile edge computing (MEC) is a promising paradigm to provide cloud-computing capabilities in close proximity to mobile devices in fifth-generation (5G) networks. In this paper, we study energy-efficient computation offloading (EECO) mechanisms for MEC in 5G heterogeneous networks. We formulate an optimization problem to minimize the energy consumption of the offloading system, where the energy cost of both task computing and file transmission are taken into consideration. Incorporating the multi-access characteristics of the 5G heterogeneous network, we then design an EECO scheme, which jointly optimizes offloading and radio resource allocation to obtain the minimal energy consumption under the latency constraints. Numerical results demonstrate energy efficiency improvement of our proposed EECO scheme.
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Efficient multi-user computation offloading for mobile-edge cloud computing
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A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data
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Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing
Sardellitti, S., Scutari, G., & Barbarossa, S. (2015) · IEEE Transactions on Signal and Information Processing over Networks · doi:10.1109/tsipn.2015.2448520 · Cited by 891
Decentralized Computation Offloading Game for Mobile Cloud Computing
Chen, X. (2015) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2014.2316834 · Cited by 872
Segmentation-Based Image Copy-Move Forgery Detection Scheme
Li, J., Li, X., Yang, B., & Sun, X. (2015) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2014.2381872 · Cited by 810
Incremental support vector learning for ordinal regression
Gu, B., Sheng, V. S., Tay, K. Y., Romano, W., & Li, S. (2015) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2014.2342533 · Cited by 707
Enabling Personalized Search over Encrypted Outsourced Data with Efficiency Improvement
Fu, Z., Ren, K., Shu, J., Sun, X., & Huang, F. (2016) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2015.2506573 · Cited by 696
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A Robust Regularization Path Algorithm for $\nu $ -Support Vector Classification
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Cited by
Mobile Edge Computing: A Survey on Architecture and Computation Offloading
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A Survey on the Edge Computing for the Internet of Things
Yu, W., Liang, F., He, X., Hatcher, W. G., Lu, C., Lin, J., & Yang, X. (2018) · IEEE Access · doi:10.1109/access.2017.2778504 · Cited by 1,520
Space-Air-Ground Integrated Network: A Survey
Liu, J., Shi, Y., Fadlullah, Z. M., & Kato, N. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2841996 · Cited by 1,281
A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications
Wang, S., Zhang, X., Zhang, Y., Wang, L., YANG, J., & Wang, W. (2017) · IEEE Access · doi:10.1109/access.2017.2685434 · Cited by 952
Self-citationDeep reinforcement learning based computation offloading and resource allocation for MEC
Li, J., Gao, H., Lv, T., & Lu, Y. (2018) · 2018 IEEE Wireless Communications and Networking Conference (WCNC) · doi:10.1109/wcnc.2018.8377343 · Cited by 548
Metadata
- Authors
- Zhang, K., Mao, Y., Leng, S., Zhao, Q., Li, L., Peng, X., Pan, L., Maharjan, S., & Zhang, Y.
- Venue
- IEEE Access
- Published
- 2016
- Volume
- 4
- Pages
- 5896-5907
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2511425482
- Cited by
- 855
- References
- 31
- FWCI
- 97.91
- Type
- journal article
- Language
- en
- Open access
- gold
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- Zhang, K., Mao, Y., Leng, S., Zhao, Q., Li, L., Peng, X., Pan, L., Maharjan, S., & Zhang, Y. (2016). Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks. IEEE Access. https://doi.org/10.1109/access.2016.2597169
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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