In ultra-dense networks, the increasing demand for wireless services has led to severe energy consumption problem. In this paper, we mainly focus on green communication and computation offloading in ultra-dense networks, constituted of different macro base stations and small-cell base stations. This paper jointly considers edge energy consumption and delay under the limited network resource for multiple users.To address this issue, we propose an efficient computation offloading scheme in multi- user multi-task scenario, and a cuckoo search algorithm is invoked for solving the computation offloading problem. To be specific, the global convergence analysis presents the validity of this computation offloading scheme. Finally, experimental results validate that our proposed scheme is conducive to improving the efficiency of entire system in ultra-dense networks.

Additional Metadata
Persistent URL dx.doi.org/10.1109/GLOBECOM38437.2019.9013117
Conference 2019 IEEE Global Communications Conference, GLOBECOM 2019
Citation
Li, F. (Feixiang), Yao, H. (Haipeng), Du, J. (Jun), Jiang, C. (Chunxiao), & Yu, F.R. (2019). Green communication and computation offloading in ultra-dense networks. In 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings. doi:10.1109/GLOBECOM38437.2019.9013117