Study of Power Efficient 5G Mobile Edge Computing

Author:

Deb Priti,Obaidat Mohammad S.,De Debashis

Publisher

Springer International Publishing

Reference54 articles.

1. Schulz, P., Matthe, M., Klessig, H., Simsek, M., Fettweis, G., Ansari, J., and Puschmann, A., 2017. Latency critical IoT applications in 5G: Perspective on the design of radio interface and network architecture. IEEE Communications Magazine, 55(2), pp. 70–78.

2. Shit, R. C., Sharma, S., Obaidat, M. S., and Puthal, D., 2020. Adaptive Software Defined Node Deployment for Green Internet of Things. In ICC 2020-2020 IEEE International Conference on Communications (ICC) (pp. 1–6). IEEE.

3. Amtrup, J. W., Ma, J., Thompson, S. M., Shustorovich, A., Thrasher, C. W., and Macciola, A., 2017. U.S. Patent Application No. 15/396,306.

4. Yang, T. J., Chen, Y. H., & Sze, V., 2017, June. Designing energy-efficient convolutional neural networks using energy-aware pruning. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 5687–5695), IEEE.

5. Gai, K., Qiu, M., & Zhao, H., 2018. Energy-aware task assignment for mobile cyber-enabled applications in heterogeneous cloud computing. Journal of Parallel and Distributed Computing, 111, pp. 126–135.

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