Energy-efficient mode switching mechanism with flexible functional splitting in energy harvesting cloud radio access networks

Haneul Ko, Sangheon Pack

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In energy harvesting cloud radio access networks, the sleep mode switching of small radio remote head (SRRH) and the functional splitting between SRRH and baseband unit are two important challenges for improving energy efficiency and throughput. In this paper, we propose an energy-efficient mode switching mechanism (E2MSM) with flexible functional splitting in which a controller determines the modes of SRRHs and functional splitting level by considering the renewable energy levels and populations of SRRHs. To optimize the performance of E2MSM, a constraint Markov decision process problem is formulated and a joint optimal policy on the sleep scheduling and the functional splitting level is obtained by a linear programming. Evaluation results demonstrate that E2MSM with the optimal policy can achieve comparable throughput to the throughput-oriented scheme while consuming no non-renewable energy.

Original languageEnglish
Article number8510783
Pages (from-to)65078-65087
Number of pages10
JournalIEEE Access
Volume6
DOIs
Publication statusPublished - 2018

Keywords

  • Cloud radio access networks (C-RANs)
  • Constraint Markov decision process (CMDP)
  • Energy harvesting
  • Functional splitting
  • Renewable energy
  • Sleep mode

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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