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Self-Interference Cancellation for Shared Band Transmission in Nonlinear Satellite Communication Channels

  • Jung, Sooyeob (Broadcasting and Media Research Laboratory, ETRI) ;
  • Ryu, Joon Gyu (Broadcasting and Media Research Laboratory, ETRI) ;
  • Oh, Deock-Gil (Broadcasting and Media Research Laboratory, ETRI) ;
  • Yu, Heejung (Department of Information and Communication Engineering, Yeungnam University)
  • Received : 2017.03.23
  • Accepted : 2017.07.28
  • Published : 2017.12.01

Abstract

For efficient spectral utilization of satellite channels, a shared band transmission technique is introduced in this paper. A satellite transmits multiple received signals from a gateway and terminal in the common frequency band by superimposing the signals. To improve the power efficiency as well as the spectral efficiency, a travelling wave tube amplifier in the satellite should operate near the saturation level. This causes a nonlinear distortion of the superimposed transmit signal. Without mitigating this nonlinear effect, the self-interference cannot be properly cancelled and the desired signal cannot be demodulated. Therefore, an adaptive compensation scheme for nonlinearity is herein proposed with the proper operation scenario. It is shown through simulations that the proposed shared band transmission approach with nonlinear compensation and self-interference cancellation can achieve an acceptable system performance in nonlinear satellite channels.

Keywords

References

  1. S. Katti, S. Gollakota, and D. Katabi, "Embracing Wireless Interference: Analog Network Coding," in Proc. ACM SIGCOMM, Kyoto, Japan, Aug. 2007, pp. 397-408.
  2. F. Rossetto, "A Comparison of Different Physical Layer Network Coding Techniques for the Satellite Environment," in Proc. Adv. Satellite Multimedia Syst. Conf. Signal Process. Space Commun. Workshop, Cagliari, Italy, Sept. 2010, pp. 25-30.
  3. G. Cocco et al., "Practical Issues in Multi-user Physical Layer Network Coding," in Proc. Adv. Satellite Multimedia Syst. Conf. Signal Process. Space Commun. Workshop, Vigo, Spain, Sept. 2012, pp. 205-211.
  4. T. Ishiguro, T. Hara, and M. Okada, "Post-Compensation Technique for Carrier Superposed Satellite Channel Including Nonlinear TWTA," IEICE Trans. Commun., vol. E95-B, Nov. 2012, pp. 3420-3427. https://doi.org/10.1587/transcom.E95.B.3420
  5. G.D. Collins, D.L. Anair, and M.J. Ready, Adaptive Canceller for Frequency Reuse Systems, US Patent 6,859,641, Feb. 2005.
  6. F.-W. Sun et al., Method and System for Providing Two-Way Communication Using an Overlay of Signals Over a Non-linear Communications Channel, US Patent 2003/0224723, Dec. 2003.
  7. H. Ju et al., "Novel Digital Cancelation Method in Presence of Harmonic Self-Interference," ETRI J., vol. 39, no. 2, Apr. 2017, pp. 245-254. https://doi.org/10.4218/etrij.17.0116.0498
  8. D. Korpi et al., "Adaptive Nonlinear Digital Self-Interference Cancellation for Mobile Inband Full-Duplex Radio: Algorithms and RF Measurements," in Proc. IEEE Global Commun. Conf. (GLOBECOM), San Diego, CA, USA, Dec. 2015, pp. 1-7.
  9. J. Malone and M.A. Wickert, "Practical Volterra Equalizers for Wideband Satellite Communications with TWTA Nonlinearities," in Proc. Digital Signal Process. Signal Process. Educ. Meeting (DSP/SPE), Sedona, AZ, USA, Jan. 2011, pp. 48-53.
  10. M. Bauduin, S. Massar, and F. Horlin, "Receiver Design for Non-linear Satellite Channels: Equalizer Training and Symbol Detection on the Compressed Constellation," in Proc. Int. Conf. on Military Commun. Inform. Syst. (ICMCIS), Brussels, Belgium, May 2016, pp. 1-6.
  11. S. Haykin, Adaptive Filter Theory, Upper Saddle River, NJ, USA: Prentice Hall, 2002.
  12. ETSI EN 302 307, "Digital Video Broadcasting (DVB); Second Generation Framing Structure, Channel Coding And Modulation Systems for Broadcasting, Interactive Services, News Gathering and Other Broadband Satellite Applications (DVB-S2)," V1.2.1, Aug. 2009.
  13. H. Wu et al., "Estimation of Physical Layer Scrambling Code Sequence of DVB-S2," ETRI J., vol. 36, no. 2, Apr. 2014, pp. 329-332. https://doi.org/10.4218/etrij.14.0213.0444
  14. ETSI TS 101 545-1, "Digital Video Broadcasting (DVB); Second Generation DVB Interactive Satellite System (DVBRCS2); Part 1: Overview and System Level Specification," V1.2.1, Apr. 2014.
  15. S. Choi, E. Jeong, and Y.H. Lee, "Adaptive Predistrortion with Direct Learning Based on Piecewise Linear Approximation of Amplifier Nonlinearity," IEEE J. Select. Topics Signal Process, vol. 3, June 2009, pp. 397-404. https://doi.org/10.1109/JSTSP.2009.2020265
  16. J. Kim and K. Konstantinou, "Digital Predistortion of Wideband Signals Based on Power Amplifier Model with Memory," Electron. Lett., vol. 37, Nov. 2001, pp. 1417-1418. https://doi.org/10.1049/el:20010940
  17. E. Casini, R. De Gaudenzi, and A. Ginesi, "DVB-S2 Modem Algorithms Design and Performance over Typical Satellite Channels," Int. J. Satellite Commun. Netw., vol. 22, no. 3, May/June 2004, pp. 291-318.
  18. F.M. Gardner, "A BPSK/QPSK Timing-Error Detector for Sampled Receivers," IEEE Trans. Commun., vol. 34, May 1986, pp. 399-406. https://doi.org/10.1109/TCOM.1986.1096542
  19. S. Jung and D. Oh, "Frequency Estimation for Non-pilot Mode of DVB-S2 System," in Proc. World Congress Eng. Comput. Sci., San Francisco, CA, USA, Oct. 2012, pp. 595-598.

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