Abstract
The quadrature amplitude modulation (QAM) is the basic technology on high speed broadband communication physical level symbol mapping. Systems requiring lower signal to noise ratio to achieve the same error probability are more power-efficient. The usage of high order modulation is limited due to its low power efficiency compared to lower order modulation. This paper combines the characteristics of Gray code symbol mapping for QAM constellation to design a soft decision algorithm based on signal diversity (div-log-MAP). The bottle-neck of the low power efficiency is overcome and highest power efficiency can be realized. The performance of div-log-MAP can beyond the performance of log maximum a posteriori probability algorithm. At the same time, the proposed algorithm is a more effective method to utilize high order QAM modulation on high speed broadband communication.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Sugimoto, H., Sasagawa, D., Suzuki, Y., et al. (2002). Higher data rate wireless LAN system based on OFDM. In The 5th international symposium on wireless personal multimedia communications, 2002 (Vol. 2, pp. 734–737). IEEE.
Chen, M., He, J., & Chen, L. (2015). Real-time demonstration of 1024-QAM OFDM transmitter in short-reach IMDD systems. IEEE Photonics Technology Letters, 27(8), 824–827.
Wang, Q., Xie, Q., Wang, Z., et al. (2014). A universal low-complexity symbol-to-bit soft demapper. IEEE Transactions on Vehicular Technology, 63(1), 119–130.
Nikitopoulos, K., Karachalios, A., & Reisis, D. (2015). Exact max-log MAP soft-output sphere decoding via approximate Schnorr–Euchner enumeration. IEEE Transactions on Vehicular Technology, 64(6):2749–2753.
Alvarado, A., Szczecinski, L., Feick, R., et al. (2009). Distribution of L-values in Gray-mapped M 2-QAM: Closed-form approximations and applications. IEEE Transactions on Communications, 57(7), 2071–2079.
Graef, N., Hammerschmidt, J. S., & Sundberg, C. E. W. (2009). A low-complexity max-log-MAP detector. IEEE Transactions on Communications, 57(8), 2251–2254.
Xu, C., Liang, D., Sugiura, S., et al. (2013). Reduced-complexity approx-log-MAP and max-log-MAP soft PSK/QAM detection algorithms. IEEE Transactions on Communications, 61(4), 1415–1425.
Studer, C., Burg, A., & Bölcskei, H. (2008). Soft-output sphere decoding: Algorithms and VLSI implementation. IEEE Journal on Selected Areas in Communications, 26(2), 290–300.
Liu, X., & Kosakowski, M. (2015). Max-log-MAP soft demapper with logarithmic complexity for-PAM signals. IEEE Signal Processing Letters, 22(1), 50–53.
Mansour, M. M., & Jalloul, L. (2015). Optimized configurable architectures for scalable soft-input soft-output MIMO detectors with 256-QAM. Preprint. arXiv:1506.04644.
Acknowledgements
This work is supported by the Science and Technology Commission of Shanghai Municipality, (12DZ1500900).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Jiang, D., Zhang, Z., Zhuang, J. et al. High Power Efficient Quadrature Amplitude Modulation Soft Decision Algorithm. Wireless Pers Commun 99, 319–328 (2018). https://doi.org/10.1007/s11277-017-5083-5
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-017-5083-5