Advanced PhYsical Layer Optimization Methods for energy-efficient wireless systems

Research Article

Joint Turbo Coding and Source-Controlled Modulation of Cycle-Stationary Sources in the Bandwidth-Limited Regime

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  • @INPROCEEDINGS{10.1007/978-3-642-16644-0_53,
        author={Idoia Ochoa and Pedro Crespo and Javier Ser and Mikel Hernaez},
        title={Joint Turbo Coding and Source-Controlled Modulation of Cycle-Stationary Sources in the Bandwidth-Limited Regime},
        proceedings={Advanced PhYsical Layer Optimization Methods for energy-efficient wireless systems},
        proceedings_a={PHYLOM},
        year={2012},
        month={10},
        keywords={Turbo codes sigma-mapping bandwidth-limited regime unequal energy allocation cycle-stationary sources},
        doi={10.1007/978-3-642-16644-0_53}
    }
    
  • Idoia Ochoa
    Pedro Crespo
    Javier Ser
    Mikel Hernaez
    Year: 2012
    Joint Turbo Coding and Source-Controlled Modulation of Cycle-Stationary Sources in the Bandwidth-Limited Regime
    PHYLOM
    Springer
    DOI: 10.1007/978-3-642-16644-0_53
Idoia Ochoa1,*, Pedro Crespo1,*, Javier Ser2,*, Mikel Hernaez1,*
  • 1: CEIT and TECNUN (University of Navarra)
  • 2: TECNALIA-TELECOM
*Contact email: iochoa@ceit.es, pcrespo@ceit.es, jdelser@robotiker.es, mhernaez@ceit.es

Abstract

In this paper we propose a novel one-layer coding/shaping transmission system for the bandwidth-limited regime based on single-level codes and sigma-mapping [1]. Specifically, we focus on cycle- stationary information sources with independent symbols. High spectral efficiencies can be achieved by combine at the transmitter a Turbo code with a sigma-mapper. Furthermore, the encoded symbols are modulated by using an asymmetric energy allocation technique before entering the aforementioned sigma-mapper. The corresponding decoder iterates between the Turbo decoder and the sigma-demapper, which exchange progressively refined probabilities of the encoded symbols. For the Additive White Gaussian Noise (AWGN) channel, simulation results obtained for very simple Turbo codes show that the proposed system attains low bit error rates at signal-to-noise ratios relatively close to the corresponding Shannon limit. These promising results pave the way for future investigations towards reducing the aforementioned energy gap, e.g. by utilizing more powerful Turbo codes.