Energy-Efficient Mode Switching Mechanism with Flexible Functional Splitting in Energy Harvesting Cloud Radio Access Networks

Haneul Ko, Sangheon Pack

Research output: Contribution to journalArticle

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 base band unit (BBU) 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 (CMDP) problem is formulated and a joint optimal policy on the sleep scheduling and the functional splitting level is obtained by a linear programming (LP). 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
JournalIEEE Access
DOIs
Publication statusAccepted/In press - 2018 Jan 1

Fingerprint

Energy harvesting
Throughput
Linear programming
Electron energy levels
Energy efficiency
Scheduling
Controllers
Networks (circuits)
Sleep

Keywords

  • cloud radio access networks (C-RANs)
  • constraint Markov decision process (CMDP)
  • Energy consumption
  • Energy harvesting
  • Energy harvesting
  • functional splitting
  • Manganese
  • Radio access networks
  • renewable energy
  • Renewable energy sources
  • sleep mode
  • Switches
  • Throughput

ASJC Scopus subject areas

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

Cite this

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title = "Energy-Efficient Mode Switching Mechanism with Flexible Functional Splitting in Energy Harvesting Cloud Radio Access Networks",
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 base band unit (BBU) 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 (CMDP) problem is formulated and a joint optimal policy on the sleep scheduling and the functional splitting level is obtained by a linear programming (LP). Evaluation results demonstrate that E2MSM with the optimal policy can achieve comparable throughput to the throughput-oriented scheme while consuming no non-renewable energy.",
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N2 - In energy harvesting cloud radio access networks, the sleep mode switching of small radio remote head (SRRH) and the functional splitting between SRRH and base band unit (BBU) 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 (CMDP) problem is formulated and a joint optimal policy on the sleep scheduling and the functional splitting level is obtained by a linear programming (LP). Evaluation results demonstrate that E2MSM with the optimal policy can achieve comparable throughput to the throughput-oriented scheme while consuming no non-renewable energy.

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