Journal of Communications and Networks

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Sparse Index Multiple Access for Multi-Carrier Systems with Precoding

  • Choi, Jinho (School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST))
  • Received : 2015.05.22
  • Accepted : 2015.01.20
  • Published : 2016.06.30
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Abstract

In this paper, we consider subcarrier-index modulation (SIM) for precoded orthogonal frequency division multiplexing (OFDM) with a few activated subcarriers per user and its generalization to multi-carrier multiple access systems. The resulting multiple access is called sparse index multiple access (SIMA). SIMA can be considered as a combination of multi-carrier code division multiple access (MC-CDMA) and SIM. Thus, SIMA is able to exploit a path diversity gain by (random) spreading over multiple carriers as MC-CDMA. To detect multiple users' signals, a low-complexity detection method is proposed by exploiting the notion of compressive sensing (CS). The derived low-complexity detection method is based on the orthogonal matching pursuit (OMP) algorithm, which is one of greedy algorithms used to estimate sparse signals in CS. From simulation results, we can observe that SIMA can perform better than MC-CDMA when the ratio of the number of users to the number of multi-carrier is low.

Keywords

Acknowledgement

Supported by : GIST Research Institute (GRI)

References

  1. R. Y.Mesleh, H. Hass, S. Sinanovic, C.W. Ahn, and S. Yun, "Spatial modulation," IEEE Trans. Veh. Technol., vol. 57, pp. 2228-2241, July 2008. https://doi.org/10.1109/TVT.2007.912136
  2. J. Jeganathan, A. Ghrayeb, and L. Szczecinski, "Spatial modulation: optimal detection and performance analysis," IEEE Commun. Lett., vol. 12, pp. 545-547, Aug. 2008. https://doi.org/10.1109/LCOMM.2008.080739
  3. R. Mesleh, M. D. Renzo, H. Hass, and P. M. Grant, "Trellis coded spatial modulation," IEEE Trans. Wireless Commun., vol. 9, pp. 2349-2361, July 2010. https://doi.org/10.1109/TWC.2010.07.091526
  4. J. Choi, "Signal dependent antenna mapping for spatial modulation," in Proc. IEEE VTC, May 2014, pp. 1-5.
  5. 3GPP, TS 36.201, Evolved Universal Terrestrial Radio Access (E-UTRA); LTE Physical Layer; General Description (Release 9), 2010.
  6. IEEE Standard for Information technology - Telecommunication and information exchange between systems - Local and metropolitan area networks - Specific requirements, Part 11: Wireless LAN Medium Access Control (MAC) Physical Layer (PHY) Specifications, June 2007.
  7. R. Abu-alhiga and H. Haas, "Subcarrier-index modulation OFDM," in Proc. IEEE PIMRC, Sept 2009, pp. 177-181.
  8. E. Basar, U. Aygolu, E. Panayirci, and H. Poor, "Orthogonal frequency division multiplexing with index modulation," IEEE Trans. Signal Process., vol. 61, pp. 5536-5549, Nov 2013. https://doi.org/10.1109/TSP.2013.2279771
  9. J. Choi, Adaptive and Iterative Signal Processing in Communications. Cambridge University Press, 2006.
  10. C. Tepedelenlioglu, "Maximum multipath diversity with linear equalization in precoded OFDM systems," IEEE Trans. Inf. Theory, vol. 50, pp. 232-235, Jan. 2004. https://doi.org/10.1109/TIT.2003.821987
  11. J. Choi, "Low density spreading for multicarrier systems," in Proc. ISSSTA, Aug 2004, pp. 575-578.
  12. J. van de Beek and B. Popovic, "Multiple access with low-density signatures," in Proc. IEEE GLOBECOM, Nov 2009, pp. 1-6.
  13. J. Choi and Y. Ko, "Compressive sensing based detector for sparse signal modulation in precoded OFDM," in Proc. IEEE ICC, June 2015, pp. 4536-4540.
  14. E. Candes, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," IEEE Trans. Inf. Theory, vol. 52, pp. 489-509, Feb 2006. https://doi.org/10.1109/TIT.2005.862083
  15. E. Candes and M. B. Wakin, "An introduction to compressive sampling," IEEE Signal Process. Mag., vol. 25, no. 2, pp. 21-30, 2008. https://doi.org/10.1109/MSP.2007.914731
  16. J. Tropp and A. Gilbert, "Signal recovery from random measurements via orthogonal matching pursuit," IEEE Trans. Inf. Theory, vol. 53, pp. 4655-4666, Dec 2007. https://doi.org/10.1109/TIT.2007.909108
  17. S.-J. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky, "An interiorpoint method for large-scale l1-regularized least squares," IEEE J. Sel. Topics. Signal Procss., vol. 1, pp. 606-617, Dec 2007. https://doi.org/10.1109/JSTSP.2007.910971
  18. A. C. Gilbert, M. J. Strauss, J. A. Tropp, and R. Vershynin, "One sketch for all: Fast algorithms for compressed sensing," in Proc. ACM STOC, 2007, pp. 237-246.
  19. E. Candes and T. Tao, "Decoding by linear programming," IEEE Trans. Inf. Theory, vol. 51, pp. 4203-4215, Dec 2005. https://doi.org/10.1109/TIT.2005.858979
  20. Y. C. Eldar and G. Kutyniok, Compressed Sensing: Theory and Applications. Cambridge University Press, 2012.
  21. G. M. Davis, S. G. Mallat, and Z. Zhang, "Adaptive time-frequency decompositions," Optical Eng., vol. 33, no. 7, pp. 2183-2191, 1994. https://doi.org/10.1117/12.173207
  22. K. Fazel and S. Kaiser, Multi-Carrier and Spread Spectrum Systems. John Wiley & Sons, 2003.
  23. H. Liu and G. Li, OFDM-Based Broadband Wireless Networks. John Wiley & Sons, 2005.
  24. D. Donoho, "Compressed sensing," IEEE Trans. Inf. Theory, vol. 52, pp. 1289-1306, Apr. 2006. https://doi.org/10.1109/TIT.2006.871582
  25. R. Baraniuk, M. Davenport, R. DeVore, and M. Wakin, "A simple proof of the restricted isometry property for random matrices," Constructive Approximation, vol. 28, no. 3, pp. 253-263, 2008. https://doi.org/10.1007/s00365-007-9003-x
  26. B. Laurent and P. Massart, "Adaptive estimation of a quadratic functional by model selection," The Annals of Statistics, vol. 28, no. 5, pp. 1302-1338, 2000. https://doi.org/10.1214/aos/1015957395
  27. S. Verdu, Multiuser Detection. Cambridge University Press, 1998.