e-Infrastructure and e-Services for Developing Countries. 9th International Conference, AFRICOMM 2017, Lagos, Nigeria, December 11-12, 2017, Proceedings

Research Article

Implementation and Performance Analysis of Trellis Coded Modulation in Additive White Gaussian Noise

Download
561 downloads
  • @INPROCEEDINGS{10.1007/978-3-319-98827-6_15,
        author={Olawale Olapetan and Ifiok Otung},
        title={Implementation and Performance Analysis of Trellis Coded Modulation in Additive White Gaussian Noise},
        proceedings={e-Infrastructure and e-Services for Developing Countries. 9th International Conference, AFRICOMM 2017, Lagos, Nigeria, December 11-12, 2017, Proceedings},
        proceedings_a={AFRICOMM},
        year={2018},
        month={8},
        keywords={TCM Bandwidth AWGN Coding gain Power},
        doi={10.1007/978-3-319-98827-6_15}
    }
    
  • Olawale Olapetan
    Ifiok Otung
    Year: 2018
    Implementation and Performance Analysis of Trellis Coded Modulation in Additive White Gaussian Noise
    AFRICOMM
    Springer
    DOI: 10.1007/978-3-319-98827-6_15
Olawale Olapetan1,*, Ifiok Otung1,*
  • 1: University of South Wales
*Contact email: olapetanwale@yahoo.com, ifiok.otung@southwales.ac.uk

Abstract

Band-limited channels face a serious challenge in modern communication due to the need to increase transmission rate while bandwidth remains the same. Mobile communications including mobile satellite, wireless mobile and indoor wireless communication all need to transmit at a higher rate. Trellis-coded Modulation (TCM) is a modulation and error control scheme that allow band-limited and/or power limited channels to attain an efficient data rate without an increase in bandwidth. It is an advanced mode of convolutional coding that combines digital modulation and error correction coding in a single stage. This project sought to investigate the performance of TCM in Additive White Gaussian Noise, modelling a mobile wireless channel. To do this, trellis codes are digitally modulated with M-ary PSK and M-ary QAM using computer simulation (MATLAB) and the performance is evaluated when the modulated signals propagates through additive white Gaussian Noise. Experiments were also carried out on hardware equipment using Telecommunication Instructional Modeling System (TIMS). The plot of bit error rate against showed that there is a significant coding gain at no extra cost of bandwidth expansion.