Effects of differential oscillator phase noise in precoding performance

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Effects of differential oscillator phase noise in precoding performance

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Advances in Communications Satellite Systems: Proceedings of the 37th International Communications Satellite Systems Conference (ICSSC-2019) — Recommend this title to your library

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Author(s): Liz Martinez Marrero 1 ; Juan C. Merlano Duncan 1 ; Jorge Querol 1 ; Symeon Chatzinotas 1 ; Adriano J. Camps Carmona 2 ; Bjorn Ottersten 1
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Source: Advances in Communications Satellite Systems: Proceedings of the 37th International Communications Satellite Systems Conference (ICSSC-2019),2021
Publication date January 2021

Satellite precoding is a promising technique to meet the target data rates of the future high throughput satellite systems and the costs per bit as required by 5G applications and networks, but it requires strict synchronization among the transmitted waveforms, in addition to accurate channel state information. Most of the published work about this topic consider ideal oscillators, but in practice, the output of an oscillator is not a single spectral line at the nominal frequency. This chapter proposes a model for the oscillator phase noise and analyzes the resulting received signal to interference plus noise ratio (SNIR) in a satellite communication system using precoding. Simulations of a communication satellite system with a two-beam transponder and two receivers were performed to compute the effective SNIR. This work uses a simulator which also considers practical impairments such as time misalignment, errors in the channel state information, interference, thermal noise, and phase noise masks for satellite oscillators. The precoding methods used for the analysis are zero forcing (ZF) and minimum mean square error (MMSE). The obtained results prove that there is a degradation in the performance due to the use of independent oscillators but this effect is compensated by the precoding matrix.

Chapter Contents:

  • 55.1 Introduction
  • 55.2 Two-state noise oscillator model
  • 55.2.1 Discrete-time implementation
  • 55.3 Satellite precoding system with different clock references
  • 55.4 System implementation
  • 55.5 Simulations results
  • 55.6 Conclusion
  • Acknowledgments
  • References

Inspec keywords: interference suppression; mean square error methods; radio receivers; satellite communication; 5G mobile communication; precoding; synchronisation; phase noise; matrix algebra; least mean squares methods; thermal noise

Other keywords: transmitted waveforms; thermal noise; synchronization; receivers; high throughput satellite systems; satellite precoding; satellite oscillators; independent oscillators; ideal oscillators; satellite communication system; signal to interference plus noise ratio; practical impairments; precoding matrix; accurate channel state information; minimum mean square error; single spectral line; precoding performance; nominal frequency; communication satellite system; target data rates; phase noise masks; effective SNIR; 5G applications; differential oscillator phase noise

Subjects: Other topics in statistics; Codes; Satellite communication systems; Linear algebra (numerical analysis); Interpolation and function approximation (numerical analysis); Mobile radio systems

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