A Novel Two-Stage Compression Scheme Combining Polar Coding and Linear Prediction Coding for Fronthaul Links in Cloud-RAN

Fangliao YANG; Kai NIU; Chao DONG; Baoyu TIAN; Zhihui LIU

doi:10.1587/transcom.2016EBP3248

A Novel Two-Stage Compression Scheme Combining Polar Coding and Linear Prediction Coding for Fronthaul Links in Cloud-RAN

Fangliao YANG, Kai NIU, Chao DONG, Baoyu TIAN, Zhihui LIU

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The transmission on fronthaul links in the cloud radio access network has become a bottleneck with the increasing data rate. In this paper, we propose a novel two-stage compression scheme for fronthaul links. In the first stage, the commonly used techniques like cyclic prefix stripping and sampling rate adaptation are implemented. In the second stage, a structure called linear prediction coding with decision threshold (LPC-DT) is proposed to remove the redundancies of signal. Considering that the linear prediction outputs have large dynamic range, a two-piecewise quantization with optimized decision threshold is applied to enhance the quantization performance. In order to further lower the transmission rate, a multi-level successive structure of lossless polar source coding is proposed to compress the quantization output with low encoding and decoding complexity. Simulation results demonstrate that the proposed scheme with LPC-DT and LPSC offers not only significantly better compression ratios but also more flexibility in bandwidth settings compared with traditional ones.

Publication: IEICE TRANSACTIONS on Communications Vol.E100-B No.5 pp.691-701

Publication Date: 2017/05/01

Publicized: 2016/11/29

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2016EBP3248

Type of Manuscript: PAPER

Category: Fundamental Theories for Communications

Authors

Fangliao YANG
  Beijing University of Posts and Telecommunications
Kai NIU
  Beijing University of Posts and Telecommunications
Chao DONG
  Beijing University of Posts and Telecommunications
Baoyu TIAN
  Beijing University of Posts and Telecommunications
Zhihui LIU
  Beijing University of Posts and Telecommunications

Keyword

Cloud-RAN, data compression, fronthaul, linear prediction coding, polar coding

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Fangliao YANG, Kai NIU, Chao DONG, Baoyu TIAN, Zhihui LIU, "A Novel Two-Stage Compression Scheme Combining Polar Coding and Linear Prediction Coding for Fronthaul Links in Cloud-RAN" in IEICE TRANSACTIONS on Communications, vol. E100-B, no. 5, pp. 691-701, May 2017, doi: 10.1587/transcom.2016EBP3248.
Abstract: The transmission on fronthaul links in the cloud radio access network has become a bottleneck with the increasing data rate. In this paper, we propose a novel two-stage compression scheme for fronthaul links. In the first stage, the commonly used techniques like cyclic prefix stripping and sampling rate adaptation are implemented. In the second stage, a structure called linear prediction coding with decision threshold (LPC-DT) is proposed to remove the redundancies of signal. Considering that the linear prediction outputs have large dynamic range, a two-piecewise quantization with optimized decision threshold is applied to enhance the quantization performance. In order to further lower the transmission rate, a multi-level successive structure of lossless polar source coding is proposed to compress the quantization output with low encoding and decoding complexity. Simulation results demonstrate that the proposed scheme with LPC-DT and LPSC offers not only significantly better compression ratios but also more flexibility in bandwidth settings compared with traditional ones.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.2016EBP3248/_p

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@ARTICLE{e100-b_5_691,
author={Fangliao YANG, Kai NIU, Chao DONG, Baoyu TIAN, Zhihui LIU, },
journal={IEICE TRANSACTIONS on Communications},
title={A Novel Two-Stage Compression Scheme Combining Polar Coding and Linear Prediction Coding for Fronthaul Links in Cloud-RAN},
year={2017},
volume={E100-B},
number={5},
pages={691-701},
abstract={The transmission on fronthaul links in the cloud radio access network has become a bottleneck with the increasing data rate. In this paper, we propose a novel two-stage compression scheme for fronthaul links. In the first stage, the commonly used techniques like cyclic prefix stripping and sampling rate adaptation are implemented. In the second stage, a structure called linear prediction coding with decision threshold (LPC-DT) is proposed to remove the redundancies of signal. Considering that the linear prediction outputs have large dynamic range, a two-piecewise quantization with optimized decision threshold is applied to enhance the quantization performance. In order to further lower the transmission rate, a multi-level successive structure of lossless polar source coding is proposed to compress the quantization output with low encoding and decoding complexity. Simulation results demonstrate that the proposed scheme with LPC-DT and LPSC offers not only significantly better compression ratios but also more flexibility in bandwidth settings compared with traditional ones.},
keywords={},
doi={10.1587/transcom.2016EBP3248},
ISSN={1745-1345},
month={May},}

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TY - JOUR
TI - A Novel Two-Stage Compression Scheme Combining Polar Coding and Linear Prediction Coding for Fronthaul Links in Cloud-RAN
T2 - IEICE TRANSACTIONS on Communications
SP - 691
EP - 701
AU - Fangliao YANG
AU - Kai NIU
AU - Chao DONG
AU - Baoyu TIAN
AU - Zhihui LIU
PY - 2017
DO - 10.1587/transcom.2016EBP3248
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E100-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2017
AB - The transmission on fronthaul links in the cloud radio access network has become a bottleneck with the increasing data rate. In this paper, we propose a novel two-stage compression scheme for fronthaul links. In the first stage, the commonly used techniques like cyclic prefix stripping and sampling rate adaptation are implemented. In the second stage, a structure called linear prediction coding with decision threshold (LPC-DT) is proposed to remove the redundancies of signal. Considering that the linear prediction outputs have large dynamic range, a two-piecewise quantization with optimized decision threshold is applied to enhance the quantization performance. In order to further lower the transmission rate, a multi-level successive structure of lossless polar source coding is proposed to compress the quantization output with low encoding and decoding complexity. Simulation results demonstrate that the proposed scheme with LPC-DT and LPSC offers not only significantly better compression ratios but also more flexibility in bandwidth settings compared with traditional ones.
ER -