Home Overview of Sparse Graph for Multiple Access in Future Mobile Networks
Article
Licensed
Unlicensed Requires Authentication

Overview of Sparse Graph for Multiple Access in Future Mobile Networks

  • Jing Lei , Baoguo Li EMAIL logo , Erbao Li and Zhenghui Gong
Published/Copyright: October 26, 2016
Become an author with De Gruyter Brill

Abstract

Multiple access via sparse graph, such as low density signature (LDS) and sparse code multiple access (SCMA), is a promising technique for future wireless communications. This survey presents an overview of the developments in this burgeoning field, including transmitter structures, extrinsic information transform (EXIT) chart analysis and comparisons with existing multiple access techniques. Such technique enables multiple access under overloaded conditions to achieve a satisfactory performance. Message passing algorithm is utilized for multi-user detection in the receiver, and structures of the sparse graph are illustrated in detail. Outlooks and challenges of this technique are also presented.

Funding statement: National Natural Science Foundation of China 61372098 This work is supported by the National Natural Science Foundation of China (NSFC) under grant number 61372098.

References

[1] Z. Keli, “Complexity reduction for MC-CDMA with MMSEC,” IEEE Trans. Vehicular Technol., vol. 57, no. 3, pp. 1989–1993, May 2008.10.1109/TVT.2007.909294Search in Google Scholar

[2] S. Kharazi and R. Sahbudin, “Fiber non-linear effects in multiple-wavelengths optical CDMA systems,” IETE Tech. Rev., vol. 30, pp. 149–156, May 2013.10.4103/0256-4602.110554Search in Google Scholar

[3] J. G. Andrews, “Performance of multicarrier CDMA with successive interference cancellation in a multipath fading channel,” IEEE Trans. Commun., vol. 52, no. 5, pp. 811–822, May 2004.10.1109/TCOMM.2004.826240Search in Google Scholar

[4] B. Al-fuhaidi, “Parallel interference cancellation with different linear equalization and rake receiver for the downlink MC-CDMA systems,” IET Commun., vol. 6, no. 15, pp. 2351–2360, March 2012.10.1049/iet-com.2011.0385Search in Google Scholar

[5] A. M. Tulino and L. Li, “Spectral efficiency of multicarrier CDMA,” IEEE Trans. Inf. Theory, vol. 51, no. 2, pp. 479–505, Feb. 2005.10.1109/TIT.2004.840875Search in Google Scholar

[6] J. Choi, “Low density spreading for multicarrier systems,” in Proc. the Eighth Int Symp on Spread-Spectrum Techniques and Applications, ISSSTA, pp. 575–578, September 2004.Search in Google Scholar

[7] A. Montanari and D. Tse, “Analysis of belief propagation for non-linear problems: The example of CDMA (or: How to prove tanakas formula),” in IEEE Information Theory Workshop, March 2006.Search in Google Scholar

[8] R. Hoshyar, F. P. Wathan, and R. Tafazolli, “Novel low-density signature for synchronous CDMA systems over awgn channel,” IEEE Trans. Signal Process., vol. 56, no. 4, pp. 1616–1626, Apr. 2008.10.1109/TSP.2007.909320Search in Google Scholar

[9] L. Wen, R. Razavi, M. A. Imran, and P. Xiao, “Design of joint sparse graph for OFDM (JSG-OFDM) system,” IEEE Trans. Wireless Commun., vol. 1, no. 3, pp. 1–14, Dec. 2014.10.1109/TWC.2014.2373379Search in Google Scholar

[10] L. Wen, “Joint sparse graph over GF(q) for CDMA systems,” IET Commun., vol. 9, no. 5, pp. 707–718, Apr. 2015.10.1049/iet-com.2014.0616Search in Google Scholar

[11] H. Hosein, “Sparse code multiple access,” in IEEE Int. Symp. Personal, Indoor and Mobile Radio Communications, Sept. 2013.Search in Google Scholar

[12] L. Linsheng, H. Wei, Z. Yan, and C. Zhe, “Design and implementation of an active array antenna with remote controllable radiation patterns for mobile communications,” IEEE Trans. Antennas Propag., vol. 62, no. 2, 913–921, Nov. 2013.10.1109/TAP.2013.2292696Search in Google Scholar

[13] W. Sau-Hsuan, C. Lin-Kai, and L. Ko-Yen, “Robust hybrid beamforming with phased antenna arrays for downlink SDMA in indoor 60 GHz channels,” IEEE Trans. Wireless Commun., vol. 12, no. 9, pp. 4542–4557, Sept. 2013.10.1109/TWC.2013.072313.121749Search in Google Scholar

[14] A. Shokrollahi, “Raptor codes,” IEEE Trans. Inf. Theory, vol. 52, no. 6, pp. 2551–2567, June 2006.10.1109/TIT.2006.874390Search in Google Scholar

[15] S. Puducheri, J. Kliewer, and T. E. Fuja, “The design and performance of distributed LT codes,” IEEE Trans. Inf. Theory, vol. 53, no. 10, pp. 3740–3754, Oct. 2007.10.1109/TIT.2007.904982Search in Google Scholar

[16] N. Bonello, Y. Yuli, S. Aissa, and L. Hanzo, “Myths and realities of rateless coding,” IEEE Commun. Magazine, vol. 49, no. 8, pp. 143–151, Aug. 2011.10.1109/MCOM.2011.5978428Search in Google Scholar

[17] R. G. Gallager, “Low-density parity-check codes,” IRE Trans. Inf. Theory, vol. 8, no. 1, pp. 21–28, Jan. 1962.10.1109/TIT.1962.1057683Search in Google Scholar

Received: 2016-1-21
Published Online: 2016-10-26
Published in Print: 2017-10-26

© 2017 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 28.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/freq-2016-0019/html
Scroll to top button