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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.)

Indexed by:

CPCI-S

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.

Keyword:

Author Community:

  • [ 1 ] [Li, Feixiang]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Yao, Haipeng]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Yao, Haipeng]Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
  • [ 4 ] [Du, Jun]Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
  • [ 5 ] [Jiang, Chunxiao]Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
  • [ 6 ] [Yu, F. Richard]Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S 5B6, Canada

Reprint Author's Address:

  • [Li, Feixiang]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing 100124, Peoples R China

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Source :

2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)

ISSN: 2334-0983

Year: 2019

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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