Journal of South China University of Technology (Natural Science Edition) ›› 2020, Vol. 48 ›› Issue (10): 120-128.doi: 10.12141/j.issn.1000-565X.190828

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Research on Energy Efficiency of Cloudlet-Enhanced Fiber-Wireless Access Network

YANG Jing1,2,3 WU Xiaodang1,2,3 ZHANG Ruoying4 WANG Ruyan1,2,3   

  1. 1． School of Communication and Information Engineering，Chongqing University of Posts and Telecommunications，Chongqing 400065，China; 2． Key Laboratory of Optical Communication and Network in Chongqing，Chongqing 400065，China;3． Key Laboratory of Ubiquitous Sensing and Networking in Chongqing，Chongqing 400065，China;4． Academy of Information and Communication Technology，Beijing 100083，China
  • Received:2019-11-12 Revised:2020-04-01 Online:2020-10-25 Published:2020-09-14
  • Contact: 杨静(1972-)，女，高级工程师，主要从事无线通信理论与技术研究。 E-mail:yangjingb@cqupt. edu. cn
  • About author:杨静(1972-)，女，高级工程师，主要从事无线通信理论与技术研究。
  • Supported by:
    Supported by the National Natural Science Foundation of China (61771082，61871062) and the Program for Innovation Team Building at the Institutions of Higher Education in Chongqing (CXTDX201601020)

PDF

107

Abstract: In order to solve the problem of high energy consumption of nodes in the cloudlet enhanced fiber-wireless access network，a resource management scheme for cooperative hibernation and scheduling was proposed． This study used signaling frame interaction in the optical domain to obtain a service request and a cloud server buffer backlog，and adopted a load level-aware bandwidth allocation manner to formulate a sleep time slot for ensuring service coexistence． At the same time，combining with bandwidth configuration and wireless node energy optimiza-tion，the wireless domain node power state was scheduled during the allocation of time slots of the optical domain node，thereby reducing network energy consumption． The simulation results show that the proposed method can ef-fectively improve the energy efficiency of the whole network．

Key words: integrated fiber-wireless access network, energy efficiency, mobile edge computing, energy saving, node sleep