Abstract
The future of mobile communication systems challenges researchers to constantly improve efficiency and data rate by performing numerous analyses in lab conditions. The novelty of this analysis is represented by the evaluation of the performances of the systems using two imposed statistical confidence levels (SCLs), parameter which can further provide enough information for reliable and quantitative comparisons. Based on SCLs and BERs, the number of bits (ENB) necessary to achieve certain BER thresholds can be computed increasing thus the efficiency of transmission. The 4G-compliant system will be tested in scenarios according to ITU recommendation for mobile communication environment including indoor building channel. The effects over the necessary ENBs of two techniques (convolutional and LDPC) will be evaluated and several conclusions will be highlighted in the final chapter.
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Acknowledgments
This work has been funded by University Politehnica of Bucharest, through the “Excellence Research Grants” Program, UPB – GEX 2017. Identifier: UPB- GEX2017, Ctr. No. 43/2017”.
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Marcu, I.M., Pirnog, I. (2018). SCL-Based Analysis for 4G-Compliant System in Indoor/Pedestrian Environments. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 747. Springer, Cham. https://doi.org/10.1007/978-3-319-77700-9_11
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DOI: https://doi.org/10.1007/978-3-319-77700-9_11
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