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Performance Optimization Techniques

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5G and Beyond Wireless Transport Technologies

Abstract

Digital wireless systems employing linear modulation methods are particularly susceptible to the in-band distortions created via multipath fading. Further, this susceptibility increases, in general, as the number of modulation states increases. There is constant pressure to improve spectral efficiency as a way to increase throughput. This in turn leads to systems with higher and higher numbers of modulation states. Such systems, in addition to being highly susceptible to in-band distortion, are also susceptible to their own implementation imperfections. This makes the attainment of error rate performance close to ideal difficult to achieve. A number of highly effective techniques have been developed to address these susceptibilities. As a result, by their application, the transmission of very high data rates at very high levels of spectral efficiency is possible. In this chapter, some of the more important of these techniques that are or may be applied in wireless transport links are reviewed, including forward error correction (FEC), adaptive modulation and coding (AMC), power amplifier linearization, phase noise suppression, quadrature modulation/demodulation imperfection mitigation, and adaptive equalization.

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References

  1. Morais DH (2020) Key 5G physical layer technologies: enabling mobile and fixed wireless access. Springer, Cham

    Book  Google Scholar 

  2. Gallager RG (1963) Low density parity codes. MIT Press, Cambridge, MA

    Book  Google Scholar 

  3. Fossorier MPC (2004) Quasi-cyclic low-density parity-check codes from circulant permutation matrices. IEEE Trans Inform Theory 50(8):1788–1793

    Article  MathSciNet  Google Scholar 

  4. Mackay DJC (1999) Good error-correcting codes based on very sparse matrices. IEEE Trans Inform Theory 45:399–431

    Article  MathSciNet  Google Scholar 

  5. Burr A (2001) Modulation and coding for wireless communications. Pearson Education, Harlow

    Google Scholar 

  6. Gallager RG (1968) Information theory and reliable communication. Wiley, New York

    MATH  Google Scholar 

  7. Advanced Hardware Architecture (1995) Primer: Reed-Solomon error correction codes (FEC). Pullman, Washington

    Google Scholar 

  8. Arikan E (2009) Channel polarization: a method for constructing capacity achieving codes for symmetric binary-input memoryless channels. IEEE Trans Inform Theory 55(7):3051–3073

    Article  MathSciNet  Google Scholar 

  9. Taub H, Schilling DL (1968) Principles of communication systems, 2nd edn. McGraw Hill, New York

    Google Scholar 

  10. Arikan E (2008) Channel polarization: a method for constructing capacity-achieving codes. In: Proceedings of the IEEE International Symposium on Information Theory, Toronto, Canada, July 2008, pp 1173–1177

    Google Scholar 

  11. Tal I, Vardy A (2015) List decoding of polar codes. IEEE Trans Inf Theory 61(5):2213–2226

    Article  MathSciNet  Google Scholar 

  12. Leeson DB (1966) A simple model of feedback oscillator noise Spectrum. Proc IEEE 54(2):329–330

    Article  Google Scholar 

  13. Zaidi A (2018) 5G physical layer: principles, models and technology components. Academic Press, London

    Google Scholar 

  14. Demir A et al (2002) Phase noise in oscillators: a unifying theory and numerical methods for circuits characterization. IEEE Trans Circuits Syst 1 Fundam Theory Appl 47(5):655–674

    Article  Google Scholar 

  15. Dahlman E et al (2021) 5G NR, Second Edition: the next generation wireless access technology. Academic Press, London

    Google Scholar 

  16. NEC (2016) Development of a phase noise compensation method for a super multi-level modulation system that achieves the world’s highest frequency usage efficiency. NEC Tech J 10(3):83–87

    Google Scholar 

  17. Chen J, et al (2014) Experimental demonstration of RF-Pilot-based phase noise mitigation of millimeter-wave systems. In: IEEE 80th vehicular technology conference, Vancouver, Canada

    Google Scholar 

  18. Marchesani R (2000) Digital precompensation of imperfections in quadrature modulators. IEEE Trans Commun 48(4):552–556

    Article  Google Scholar 

  19. De Witt JJ (2011) Ph.D. Dissertation: modelling, estimation and compensation of imbalances in quadrature transceivers. Stellenbosch University, South Africa

    Google Scholar 

  20. Siller C A Jr. (1984) Multipath propagation: its associated countermeasures in digital microwave radio. IEEE Communications Magazine, vol 22, no 2, New York

    Google Scholar 

  21. Proakis JG (2008) Digital communications: fifth edition. McGraw Hill, New York

    Google Scholar 

  22. Garth L, et al (1998) An introduction to blind equalization, TD-7 of ETSI/STS TM6, Madrid, Spain

    Google Scholar 

  23. Godard DN (1980) Self-recovering equalization and carrier tracking in two-dimensional data communications systems. IEEE Trans Commun 28(11):1867–1875

    Article  Google Scholar 

  24. Oh KN, Chin YO (1995) Modified constant modulus algorithm: blind equalization and carrier phase recovery algorithm. In: Proceedings of the IEEE international conference on communications, vol 1, pp 498–502, Seattle, WA, USA, 18–22 June 1995

    Chapter  Google Scholar 

  25. Lkhlef A, Guennec DL (2007) A simplified constant modulus algorithm for blind recovery of MIMO QAM and PSK signals: a criterion with convergence analysis. Eurasip J Wirel Commun Netw 2007:1–13

    Google Scholar 

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Morais, D.H. (2021). Performance Optimization Techniques. In: 5G and Beyond Wireless Transport Technologies. Springer, Cham. https://doi.org/10.1007/978-3-030-74080-1_5

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  • DOI: https://doi.org/10.1007/978-3-030-74080-1_5

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