Performance and Evaluation of Volterra Nonlinear Equalizer for Coherent RoF Mobile Front-haul Network : A case Study of QOSTBCOFDM and QOSTBC-GFDM Waveforms. / Aissaoui, Khalil ; Mhatli, Sofien ; Gharbi, Ossema ; Aldalbahi, Adel ; Attia, Rabah ; Haxha, Shyqyri; Dayoubb, Iyad .

In: Optical and Quantum Electronics , Vol. 53, 153, 01.03.2021, p. 1-11.

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  • Khalil Aissaoui
  • Sofien Mhatli
  • Ossema Gharbi
  • Adel Aldalbahi
  • Rabah Attia
  • Shyqyri Haxha
  • Iyad Dayoubb

Abstract

In this paper, we propose and investigate a multi-Gigabits baseband RF (Radio Frequency) signal over Standard Single-Mode Fibre (SSMF) link using a 16-Quadrature Amplitude Modulation (16-QAM). The proposed novel RF configuration architecture deploys 4x4 Quasi-Orthogonal Space-Time Block Code Generalized Frequency Division Multiplexing (QOSTBC-GFDM) and Orthogonal Frequency Division Multiplexing (QOSTBC-OFDM) waveforms. This configuration can be deployed within the context of fifth-generation (5G) Cloud Radio Access Network (C-RAN). Th eproposed architecture is based on the implementation of a Volterra Nonlinear Equalizer (VNLE) in a Remote Radio Unit (RRU). The equalizer has been efficiently employed to reduce the impact of the non-linear distortion and enhance signal performance. We have used a low-complex Linear Equalizer (LE) at the User Equipment (UE). Our research shows that QOSTBC-GFDM waveform is more efficient than QOSTBC-OFDM in terms of Out-Of-Band (OOB) emission and Spectral Efficiency (SE). Furthermore, a comparable performance between the two waveforms in terms of Bit Error Rate (BER) and Error Vector Magnitude (EVM) is attained. To the best of our knowledge, this is the first reported research work based on precoded QOSTBC-GFDM and QOSTBC-OFDM signal on a fully C-RAN architecture with the integration of the VNLE in the RRU.
Original languageEnglish
Article number153
Pages (from-to)1-11
Number of pages11
JournalOptical and Quantum Electronics
Volume53
DOIs
Publication statusPublished - 1 Mar 2021
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

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