Computation offloading in MIMO based mobile edge computing systems under perfect and imperfect CSI estimation

IEEE International Conference on Communications

Volumn 2018-May, Issue , 2018, Pages

  Nguyen, Ti Ti ^a   Le, Long Bao ^a  

^a INRS EMT   (Canada)

Author keywords

Computation offloading; Energy saving; Latency; MIMO; Mobile edge computing; Resource allocation

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); EDGE COMPUTING; ENERGY CONSERVATION; ENERGY UTILIZATION; GREEN COMPUTING; MIMO SYSTEMS; RESOURCE ALLOCATION;

COMMUNICATIONS FUNCTIONS; COMPUTATION OFFLOADING; COMPUTATION-INTENSIVE TASK; LATENCY; MOBILE EDGE COMPUTING; MULTIPLE-INPUT - MULTIPLE OUTPUT WIRELESS SYSTEMS; OPTIMIZATION METHOD; SUB-OPTIMAL ALGORITHMS;

CHANNEL STATE INFORMATION;

EID: 85051421178     PISSN: 15503607     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICC.2018.8422274     Document Type: Conference Paper

References (12)

1. S. Buzzi, I. Chih-Lin, T. E. Klein, H. V. Poor, C. Yang, and A. Zappone, "A survey of energy-efficient techniques for 5G networks and challenges ahead," IEEE J. Sel. Areas Commun., vol. 34, pp. 697-709, Apr. 2016.
2. J. Kwak, Y. Kim, J. Lee, and S. Chong, "DREAM: Dynamic resource and task allocation for energy minimization in mobile cloud systems," IEEE J. Sel. Areas Commun., vol. 33, pp. 2510-2523, Dec. 2015.
3. H. Q. Ngo, E. G. Larsson, and T. L. Marzetta, "Energy and spectral efficiency of very large multiuser MIMO systems," IEEE Trans. Commun., vol. 61, Apr. 2013.
4. Y. Mao, C. You, J. Zhang, K. Huang, and K. B. Letaief, "A survey on mobile edge computing: The communication perspective," IEEE Commun. Surveys Tutorials, vol. 19, pp. 2322-2358, Aug. 2017.
5. E. Cuervo, A. Balasubramanian, D. Cho, A. Wolman, S. Saroiu, R. Chandra, and P. Bahl, "MAUI: Making smartphones last longer with code offload," in Proc. ACM MobiSys, Jun. 2010, pp. 49-62.
6. S. Kosta, A. Aucinas, H. Pan, R. Mortier, and X. Zhang, "ThinkAir: Dynamic resource allocation and parallel execution in the cloud for mobile code offloading," in Proc. IEEE INFOCOM, 2012, pp. 945-953.
7. A. N. Al-Shuwaili, O. Simeone, A. Bagheri, and G. Scutari, "Joint uplink/downlink optimization for backhaul-limited mobile cloud computing with user scheduling," IEEE Trans. Sig. Inf. Process., vol. 3, pp. 787-802, Feb. 2017.
8. C. You, K. Huang, H. Chae, and B. Kim, "Energy-efficient resource allocation for mobile-edge computation offloading," IEEE Trans. Wireless Commun., pp. 1397-1411, Dec. 2017.
9. X. Lyu, H. Tian, C. Sengul, and P. Zhang, "Multiuser joint task offloading and resource optimization in proximate clouds," IEEE Trans. Veh. Tech., vol. 66, no. 4, pp. 3435-3447, Apr. 2017.
10. Y. Guo, L. Duan, and R. Zhang, "Optimal pricing and load sharing for energy saving in communications cooperation," IEEE Trans. Wireless Commun., vol. 15, pp. 951-964, Feb. 2016.
11. A. Ioannis, I. Maros, and B. Rustem, "An outer approximation based branch and cut algorithm for convex 0-1 minlp problems," Optimization Methods and Software, pp. 21-47, 2001.
12. A. P. Miettinen and J. K. Nurminen, "Energy efficiency of mobile clients in cloud computing," USENIX Conf. Hot Topics Cloud Compt. (HotCloud), vol. 10, pp. 4-4, 2010.