Solution to reduce nonlinearity in LTE RoF system for an efficient das topology: a brief review

T. Kanesan, R. Mohamad, S.M. Mitani, H.M. Hizan, W.P. Ng, Z. Ghassemlooy, P.A. Haigh, S. Rajbhandari, Son T. Le, Gee-Kung Chang

Research output: Chapter in Book/Report/Conference proceedingConference publication

Abstract

In this paper, a review on radio-over-fiber (RoF) technology is conducted to support the exploding growth of mobile broadband. An RoF system will provide a platform for distributed antenna system (DAS) as a fronthaul of long term evolution (LTE) technology. A higher splitting ratio from a macrocell is required to support large DAS topology, hence higher optical launch power (OLP) is the right approach. However, high OLP generates undesired nonlinearities, namely the stimulated Brillouin scattering (SBS). Three different aspects of solving the SBS process are covered in this paper, where the solutions ultimately provided an additional 4 dB link budget.

Original languageEnglish
Title of host publication2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
PublisherIEEE
Number of pages4
ISBN (Print)978-1-5090-2526-8
DOIs
Publication statusPublished - 21 Sep 2016
Event10th International Symposium on Communication Systems, Networks and Digital Signal Processing - Prague, Czech Republic
Duration: 20 Jul 201623 Jul 2016

Symposium

Symposium10th International Symposium on Communication Systems, Networks and Digital Signal Processing
Abbreviated titleCSNDSP 2016
CountryCzech Republic
CityPrague
Period20/07/1623/07/16

Bibliographical note

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Keywords

  • long term evolution
  • nonlinear compensation
  • radio-over-fibre
  • LTE
  • RoF

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    Kanesan, T., Mohamad, R., Mitani, S. M., Hizan, H. M., Ng, W. P., Ghassemlooy, Z., Haigh, P. A., Rajbhandari, S., Le, S. T., & Chang, G-K. (2016). Solution to reduce nonlinearity in LTE RoF system for an efficient das topology: a brief review. In 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP) IEEE. https://doi.org/10.1109/CSNDSP.2016.7573933