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Author:

Li, Feixiang (Li, Feixiang.) | Yao, Haipeng (Yao, Haipeng.) | Du, Jun (Du, Jun.) | Jiang, Chunxiao (Jiang, Chunxiao.) | Yu, F. Richard (Yu, F. Richard.)

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EI

Abstract:

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. © 2019 IEEE.

Keyword:

Computational efficiency Energy utilization Optimization Base stations

Author Community:

  • [ 1 ] [Li, Feixiang]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Yao, Haipeng]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Yao, Haipeng]State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing; 100876, China
  • [ 4 ] [Du, Jun]Department of Electronic Engineering, Tsinghua University, Beijing; 100084, China
  • [ 5 ] [Jiang, Chunxiao]Department of Electronic Engineering, Tsinghua University, Beijing; 100084, China
  • [ 6 ] [Yu, F. Richard]Department of Systems and Computer Engineering, Carleton University, Ottawa; ON; 1K1S 5B6, Canada

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Year: 2019

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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