On the Comparison of Various Overhead Arrangements for Massive MIMO-OFDM Channel Estimation

Authors

  • Pallaviram Sure REVA Institute of Technology and Management Bangalore India
  • Chandra Mohan Bhuma Bapatla Engineering College, Bapatla

Abstract

Massive multi input multi output (MIMO) systems incorporate orthogonal frequency division multiplexing (OFDM) technology to render high data rate services for future wireless communication applications. The channel estimator (CE) employed by a reliable massive MIMO-OFDM system requires huge amount of overhead in the form of known and null data transmissions, hence limiting the system spectral efficiency (SE). Often, CE design is a tradeoff between SE and system reliability. In this paper, CE with three different overhead arrangements, namely time domain synchronous (TDS), comb type with cyclic prefix (CTCP), $2D$ grid type with cyclic prefix (GTCP) are investigated and a GTCP based CE is proposed which offers both high SE and improved system reliability. The proposed CE uses autocorrelation based denoising threshold for channel impulse response (CIR) estimation and does not require any knowledge of channel statistics (KCS). A $4 \times 16$ MIMO-OFDM system is simulated in a rayleigh fading channel environment with U-shaped doppler spectrum. From the bit error rate (BER) performance results in WiMax SUI-$4$, Advanced Television Technology Center (ATTC) and Brazil A channel environments, it is verified that the proposed CE with GTCP overhead and proposed denoising scheme, indeed improves both SE and system reliability. Hence it is suitable for application in all massive MIMO-OFDM systems.

Author Biographies

Pallaviram Sure, REVA Institute of Technology and Management Bangalore India

Sr. Asst. Professor, Department of ECE

Chandra Mohan Bhuma, Bapatla Engineering College, Bapatla

Professor and Head, Department of ECE

References

L. Dai, Z. Wang, and Z. Yang, “Spectrally efficient time-frequency

training ofdm for mobile large-scale mimo systems,” Selected Areas in Communications, IEEE Journal on, vol. 31, no. 2, pp. 251–263, 2013.

X. Su, J. Zeng, L.-P. Rong, and Y.-J. Kuang, “Investigation on key technologies in large-scale mimo,” Journal of Computer Science and Technology , vol. 28, no. 3, pp. 412–419, 2013. [Online]. Available: http://dx.doi.org/10.1007/s11390-013-1342-4

H. Q. Ngo, E. G. Larsson, and T. L. Marzetta, “Energy and spectral efficiency of very large multiuser mimo systems,” CoRR , vol. abs/1112.3810, 2011.

L. Dai, Z. Wang, and S. Chen, “A novel uplink multiple access scheme based on tds-fdma,” Wireless Communications, IEEE Transactions on , vol. 10, no. 3, pp. 757–761, 2011.

J. W. Z. T. P. M. M. Dai, L Wang, “Time domain synchronous ofdm based on simultaneous multi-channel reconstruction,” ser. Proc. of the IEEE International Confence on Communications, pp. 1–5, 2013.

S. K. Mohammed, A. Zaki, A. Chockalingam, and B. S. Rajan, “Highrate space-time coded large mimo: Low-complexity detection and channel estimation,” CoRR , vol. abs/0809.2446, 2008.

S. Coleri, M. Ergen, A. Puri, and A. Bahai, “Channel estimation techniques based on pilot arrangement in ofdm systems,” Broadcasting, IEEE Transactions on, vol. 48, no. 3, pp. 223–229, 2002.

K. Zheng, J. Su, and W. Wang, “Iterative dft-based channel estimation for mimo-ofdm systems,” in Communications, Circuits and Systems Proceedings, 2006 International Conference on, vol. 2, pp. 1081– 1085, 2006.

W. Li, X. Wang, P. Gu, and D. Wang, “Research on channel estimation of mimoofdm system,” in Informatics and Management Science III , ser. Lecture Notes in Electrical Engineering, W. Du, Ed. Springer London, vol. 206, pp. 67–73, 2013.

S. Rosati, G. Corazza, and A. Vanelli-Coralli, “Ofdm channel estimation based on impulse response decimation: Analysis and novel algorithms,” Communications, IEEE Transactions on , vol. 60, no. 7, pp. 1996–2008, 2012.

J. Oliver, R. Aravind, and K. M. M. Prabhu, “Sparse channel estimation in ofdm systems by threshold-based pruning,” IEEE Electronics Letters, vol. 44, no. 13, pp. 830–832, 2008.

S. M. v. d. B. J.-J. W. S. B. Edfors, O., “Analysis of dft based channel estimators for ofdm,” Wireless Personal Communications, vol. 12, pp. 55–70, 2000.

M. R. Raghavendra and K. Giridhar, “Improving channel estimation in ofdm systems for sparse multipath channels,” IEEE Signal Processing Letters, vol. 12, no. 1, pp. 52–55, 2005.

Y. Kang, K. Kim, and H. Park, “Efficient dft-based channel estimation for ofdm systems on multipath channels,” Communications, IET , vol. 1, no. 2, pp. 197–202, 2007.

Y.-S. Lee, H.-C. Shin, and H. N. Kim, “Channel estimation based on a time-domain threshold for ofdm systems,” Broadcasting, IEEE Transactions on, vol. 55, no. 3, pp. 656–662, 2009.

H. Xie, G. Andrieux, Y. Wang, J.-F. Diouris, and S. Feng, “Efficient time domain threshold for sparse channel estimation in fOFDMgsystem,” AEU- International Journal of Electronics and Communications, pp. –, 2013.

I. Choi, J.-K. Kim, H. Lee, and I. Lee, “Alamouti-codes based fourantenna transmission schemes with phase feedback,” Communications Letters, IEEE, vol. 13, no. 10, pp. 749–751, October 2009.

W. Y. Y.-C. G. K. Yong Soo Cho, Jaekwon Kim, MIMO OFDM Wireless Communications with MATLAB. Wiley, 2010.

L. Zhinian and Z. Wenjun, “Simulation for correlated rayleigh fading channels by fir pulse-shaping filtering,” in Wireless Communications, Networking and Mobile Computing, WiCom 2007. International Conference on, 2007, pp. 1091–1094, 2007.

Downloads

Published

2014-06-30

Issue

Section

Telecommunications