The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing
Abstract
Mobile edge computing has risen as a promising technology for augmenting the computational capabilities of mobile devices. Meanwhile, in-network caching has become a natural trend of the solution of handling exponentially increasing Internet traffic. The important issues in these two networking paradigms are computation offloading and content caching strategies, respectively. In order to jointly tackle these issues in wireless cellular networks with mobile edge computing, we formulate the computation offloading decision, resource allocation and content caching strategy as an optimization problem, considering the total revenue of the network. Furthermore, we transform the original problem into a convex problem and then decompose it in order to solve it in a distributed and efficient way. Finally, with recent advances in distributed convex optimization, we develop an alternating direction method of multipliers-based algorithm to solve the optimization problem. The effectiveness of the proposed scheme is demonstrated by simulation results with different system parameters.
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Cites
Boyd, S., Parikh, N., Chu, E., Peleato, B., & Eckstein, J. (2011) · Foundations and Trends® in Machine Learning · doi:10.1561/2200000016 · Cited by 17,075
Efficient multi-user computation offloading for mobile-edge cloud computing
Chen, X., Jiao, L., Li, W., & Fu, X. (2016) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2015.2487344 · Cited by 2,675
(2011) · doi:10.1145/1966445.1966473 · Cited by 1,870
Cache in the air: exploiting content caching and delivery techniques for 5G systems
Wang, X., Chen, M., Taleb, T., Ksentini, A., & Leung, V. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6736753 · Cited by 1,063 · cited 1×
“According to [36] and [37], the reward of caching in wireless networks can be the reduction of backhaul delay or the alleviation of backhaul bandwidth.”
BackgroundDecentralized 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
FemtoCaching: Wireless video content delivery through distributed caching helpers
Golrezaei, N., Shanmugam, K., Dimakis, A. G., Molisch, A. F., & Caire, G. (2012) · 2012 Proceedings IEEE INFOCOM · doi:10.1109/infcom.2012.6195469 · Cited by 711
Assessment of the Suitability of Fog Computing in the Context of Internet of Things
Sarkar, S., Chatterjee, S., & Misra, S. (2018) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2015.2485206 · Cited by 638
Industrial Internet: A Survey on the Enabling Technologies, Applications, and Challenges
Li, J.-Q., Yu, F. R., Deng, G., Luo, C., Ming, Z., & Yan, Q. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2691349 · Cited by 472
Self-citationCloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges
Abolfazli, S., Sanaei, Z., Ahmed, E., Gani, A., & Buyya, R. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.070813.00285 · Cited by 440
Munoz, O., Pascual-Iserte, A., & Vidal, J. (2015) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2014.2372852 · Cited by 415
Cited by
Chen, X., Zhang, H., Wu, C., Mao, S., Ji, Y., & Bennis, M. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2876279 · Cited by 680
Securing Fog Computing for Internet of Things Applications: Challenges and Solutions
Ni, J., Zhang, K., Lin, X., & Shen, X. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2762345 · Cited by 659
Resource Scheduling in Edge Computing: A Survey
Luo, Q., Hu, S., Li, C., Li, G., & Shi, W. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3106401 · Cited by 588
“Likely, the work in [67] addressed the optimization problem for joint computation offloading, resource allocation, and content caching, in which computing,”
BackgroundDistributed resource scheduling in edge computing: Problems, solutions, and opportunities
Sahni, Y., Cao, J., Yang, L., & Wang, S. (2022) · Computer Networks · doi:10.1016/j.comnet.2022.109430 · Cited by 38
Siddavaatam, R., Woungang, I., & Anpalagan, A. (2019) · IET Wireless Sensor Systems · doi:10.1049/iet-wss.2019.0015 · Cited by 10
Metadata
- Authors
- Wang, C., Liang, C., Yu, F. R., Chen, Q., & Tang, L.
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2017-08
- Volume
- 16
- Issue
- 8
- Pages
- 4924-4938
- ISSN
- 1536-1276 (ISSN-L)
- OpenAlex
- W2615926310
- Cited by
- 710
- References
- 36
- FWCI
- 53.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wang, C., Liang, C., Yu, F. R., Chen, Q., & Tang, L. (2017). Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing. IEEE Transactions on Wireless Communications. https://doi.org/10.1109/twc.2017.2703901
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