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Designing a green optical network unit using ARMA-based traffic prediction for quality of service-aware traffic

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Abstract

The optical access networks (OANs) provide an attractive solution to the bandwidth bottleneck problem of the last mile. However, it has been proved (Baliga et al. in J Lightwave Technol 27(13):2391–2403, 2009; Baliga et al. in IEEE Commun Mag 49(6):70–77, 2011) that the OAN consumes a significant ratio of the total energy consumed in an optical networking scenario. This has provided incentive for inspection of energy-efficient schemes for OANs. It has been demonstrated in the literature that energy consumption figures of an OAN can be improved by either designing efficient hardware or employing better media access control (MAC) protocols. In this paper, we design a MAC protocol for OANs to ensure energy-efficiency in the presence of quality of service (QoS)-aware traffic. The proposed scheme incorporates traffic prediction-based selection of different sleep (energy-efficient) modes of operation, of the optical network units—ONUs (OAN end units). It also implements switching between different sleep modes to maintain high QoS with significant energy-efficiency figures. The discussed scheme requires processing at the ONU only and can work independent of the entire OAN (ONU assisted). Thus, our proposal is an attractive solution for the already deployed networks or even in green field deployment.

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Authors and Affiliations

  1. G. S. Sanyal School of Telecommunications, Indian Institute of Technology Kharagpur, Kharagpur, India

    Chayan Bhar, Atri Mukhopadhyay & Goutam Das

  2. Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India

    Nilesh Chatur & Debasish Datta

Authors
  1. Chayan Bhar
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  2. Nilesh Chatur
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  3. Atri Mukhopadhyay
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  4. Goutam Das
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  5. Debasish Datta
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Correspondence to Chayan Bhar.

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Bhar, C., Chatur, N., Mukhopadhyay, A. et al. Designing a green optical network unit using ARMA-based traffic prediction for quality of service-aware traffic. Photon Netw Commun 32, 407–421 (2016). https://doi.org/10.1007/s11107-016-0671-y

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  • DOI: https://doi.org/10.1007/s11107-016-0671-y

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