Deep reinforcement learning based computation offloading and resource allocation for MEC

IEEE Wireless Communications and Networking Conference, WCNC

Volumn 2018-April, Issue , 2018, Pages 1-6

  Li, Ji ^a   Gao, Hui ^a   Lv, Tiejun ^a   Lu, Yueming ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

5G MOBILE COMMUNICATION SYSTEMS; COSTS; DEEP LEARNING; DYNAMICAL SYSTEMS; RESOURCE ALLOCATION; WIRELESS TELECOMMUNICATION SYSTEMS;

COMPUTATION INTENSIVES; COMPUTATION OFFLOADING; COMPUTATION-INTENSIVE TASK; COMPUTATIONAL CAPACITY; COMPUTATIONAL RESOURCES; MOBILE EDGE COMPUTING; OPTIMAL POLICIES; OPTIMIZATION FRAMEWORK;

REINFORCEMENT LEARNING;

EID: 85049160479     PISSN: 15253511     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCNC.2018.8377343     Document Type: Conference Paper

References (17)

1. M. Peng, Y. Sun, X. Li, Z. Mao, and C. Wang, "Recent advances in cloud radio access networks: System architectures, key techniques, and open issues," IEEE Communications Surveys Tutorials, vol. 18, no. 3, pp. 2282-2308, thirdquarter 2016
2. D. Sabella, A. Vaillant, P. Kuure, U. Rauschenbach, and F. Giust, "Mobile-edge computing architecture: The role of mec in the internet of things," IEEE Consumer Electronics Magazine, vol. 5, no. 4, pp. 84-91, Oct 2016
3. P. Mach and Z. Becvar, "Mobile edge computing: A survey on architecture and computation offloading," IEEE Communications Surveys Tutorials, vol. 19, no. 3, pp. 1628-1656, thirdquarter 2017
4. S. Li, N. Zhang, S. Lin, L. Kong, A. Katangur, M. K. Khan, M. Ni, and G. Zhu, "Joint admission control and resource allocation in edge computing for internet of things," IEEE Network, vol. 32, no. 1, pp. 72-79, Jan 2018
5. K. Kumar and Y. H. Lu, "Cloud computing for mobile users: Can offloading computation save energy?" Computer, vol. 43, no. 4, pp. 51-56, April 2010
6. S. Barbarossa, S. Sardellitti, and P. D. Lorenzo, "Communicating while computing: Distributed mobile cloud computing over 5g heterogeneous networks," IEEE Signal Processing Magazine, vol. 31, no. 6, pp. 45-55, Nov 2014
7. Z. Xu, Y. Wang, J. Tang, J. Wang, and M. C. Gursoy, "A deep reinforcement learning based framework for power-efficient resource allocation in cloud rans," in 2017 IEEE International Conference on Communications (ICC), May 2017, pp. 1-6
8. J. Liu, Y. Mao, J. Zhang, and K. B. Letaief, "Delay-optimal computation task scheduling for mobile-edge computing systems," in 2016 IEEE International Symposium on Information Theory (ISIT), July 2016, pp. 1451-1455
9. S. T. Hong and H. Kim, "Qoe-aware computation offloading scheduling to capture energy-latency tradeoff in mobile clouds," in 2016 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), June 2016, pp. 1-9
10. S. Xiao and X. linWang, "The method based on q-learning path planning in migrating workflow," in Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC), Dec 2013, pp. 2204-2208
11. P. Zhao, H. Tian, C. Qin, and G. Nie, "Energy-saving offloading by jointly allocating radio and computational resources for mobile edge computing," IEEE Access, vol. 5, pp. 11255-11268, 2017
12. C. Wang, F. R. Yu, C. Liang, Q. Chen, and L. Tang, "Joint computation offloading and interference management in wireless cellular networks with mobile edge computing," IEEE Transactions on Vehicular Technology, vol. 66, no. 8, pp. 7432-7445, Aug 2017
13. Y. Wen, W. Zhang, and H. Luo, "Energy-optimal mobile application execution: Taming resource-poor mobile devices with cloud clones," in 2012 Proceedings IEEE INFOCOM, March 2012, pp. 2716-2720
14. X. Chen, L. Jiao, W. Li, and X. Fu, "Efficient multi-user computation offloading for mobile-edge cloud computing," IEEE/ACM Transactions on Networking, vol. 24, no. 5, pp. 2795-2808, October 2016
15. K. Zhang, Y. Mao, S. Leng, Q. Zhao, L. Li, X. Peng, L. Pan, S. Maharjan, and Y. Zhang, "Energy-efficient offloading for mobile edge computing in 5g heterogeneous networks," IEEE Access, vol. 4, pp. 5896-5907, 2016
16. A. Jaszkiewicz, "On the performance of multiple-objective genetic local search on the 0/1 knapsack problem-A comparative experiment," IEEE Transactions on Evolutionary Computation, vol. 6, no. 4, pp. 402-412, Aug 2002
17. Y. Cao, T. Jiang, and C. Wang, "Optimal radio resource allocation for mobile task offloading in cellular networks," IEEE Network, vol. 28, no. 5, pp. 68-73, September 2014