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Performance Evaluation of MIMO Symbol Detection Techniques in LTE Downlink Extended Pedestrian Environment for Spatial Multiplexing

Published on September 2014 by Neha Kothari, Pranay Joshi, Varun Jain, Gaurav Joshi
journal_cover_thumbnail

Recent Advances in Wireless Communication and Artificial Intelligence
Foundation of Computer Science USA
RAWCAI - Number 3
September 2014
Authors: Neha Kothari, Pranay Joshi, Varun Jain, Gaurav Joshi
313d1985-0eb6-4b51-8520-c135e7800e8b

Neha Kothari, Pranay Joshi, Varun Jain, Gaurav Joshi . Performance Evaluation of MIMO Symbol Detection Techniques in LTE Downlink Extended Pedestrian Environment for Spatial Multiplexing. Recent Advances in Wireless Communication and Artificial Intelligence. RAWCAI, 3 (September 2014), 5-8.

@article{
author = { Neha Kothari, Pranay Joshi, Varun Jain, Gaurav Joshi },
title = { Performance Evaluation of MIMO Symbol Detection Techniques in LTE Downlink Extended Pedestrian Environment for Spatial Multiplexing },
journal = { Recent Advances in Wireless Communication and Artificial Intelligence },
issue_date = { September 2014 },
volume = { RAWCAI },
number = { 3 },
month = { September },
year = { 2014 },
issn = 0975-8887,
pages = { 5-8 },
numpages = 4,
url = { /proceedings/rawcai/number3/17930-1433/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Recent Advances in Wireless Communication and Artificial Intelligence
%A Neha Kothari
%A Pranay Joshi
%A Varun Jain
%A Gaurav Joshi
%T Performance Evaluation of MIMO Symbol Detection Techniques in LTE Downlink Extended Pedestrian Environment for Spatial Multiplexing
%J Recent Advances in Wireless Communication and Artificial Intelligence
%@ 0975-8887
%V RAWCAI
%N 3
%P 5-8
%D 2014
%I International Journal of Computer Applications
Abstract

In wireless Multiple Input Multiple Output (MIMO) channels, the accurate detection of the transmitted information becomes complex with the order of MIMO. The complexity issues become even more pronounced with the order of modulation viz. 16-QAM, 64-QAM and 256-QAM. This paper evaluates the performance of Long Term Evolution (LTE) downlink in the extended pedestrian environment for various MIMO symbol detection techniques. Channel Detector algorithms such, Minimum Mean Square Error (MMSE), Zero Forcing (ZF) and Sphere Decoding have been evaluated for various modulation schemes. The investigation being undertaken is in terms of Physical layer BER with specific application to Spatial Multiplexing.

References
  1. C. C. Chiau, "Study of the Diversity Antenna Array for the MIMO
  2. Wireless Communication Systems", PHD thesis, University of London, 2006.
  3. L. Bai and J. Choi, "Low Complexity MIMO detection," Springer
  4. M. Jeon and J. Lee, "SNR Adaptive Limited Constellation Sphere Decoding," in IEEE conference on Vehicular Technology, Fall 2009, Anchorage, pp. 1-5.
  5. L. Bai and J. Choi, "Low Complexity MIMO detection," Springer
  6. M. Jeon and J. Lee, "SNR Adaptive Limited Constellation Sphere Decoding," in IEEE conference on Vehicular Technology, Fall 2009, Anchorage, pp. 1-5.
  7. D. Seethaler, H. Artes, and F. Hlawatsch, "Detection Techniques for MIMO Spatial Multiplexing Systems" in e&i, vol. 122, no. 3, pp. 91–96, March 2005.
  8. K. Zhao, Y. Li, H. Jiang, and S. Du, in "A Low Complexity Fast Lattice Reduction Algorithm for MIMO Detection," in 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC).
  9. U. Fincke, and M. Phost, "Improved methods for calculating vectors of short length in a lattice, including a complexity analysis," in Math. Comp. , , April 1985, vol. 44, pp. 463- 471,
  10. F. Shayegh, and M. R. Soleymani, "Low Complexity Implementations of Sphere Decoding for MIMO Detection," in Canadian Conference on Electrical
  11. J. Jalden and B. Ottersten, "An exponential lower bound on the expected complexity of sphere decoding," in Proc. IEEE ICASSP, vol. 4, May. 2004, pp. 393–396.
  12. D. Seethaler, H. Artes, and F. Hlawatsch, "Detection Techniques for MIMO Spatial Multiplexing Systems" in e&i, vol. 122, no. 3, pp. 91–96, March 2005.
  13. K. Zhao, Y. Li, H. Jiang, And S. Du, "A Low Complexity Fast Lattice Reduction Algorithm For Mimo Detection," in 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC), pp. 1612-1616.
  14. C. Hung, W. Chung, R. Chang, and C. Chen, "A Monte Carlo MIMO Detection Scheme Via Random Noise Generation," in IEEE Wireless Communications and Networking Conference (WCNC), 2012, April 2012, Shanghai, pp. 903-907.
  15. Lai, G. Ascheid, H. Meyr, ,and T. Chiueh, "Efficient Channel-Adaptive MIMO Detection Using Just-Acceptable Error Rate" in IEEE Transactions on Wireless Communications, Vol. 10, issue 1, January 2011, pp. 73-83.
  16. F. Shayegh, and M. R. Soleymani, "Low Complexity Implementations of Sphere Decoding for MIMO Detection," in Canadian Conference on Electrical and Computer Engineering, May 2008, Niagara Falls, pp. 821 – 826.
Index Terms

Computer Science
Information Sciences

Keywords

Lte Multiple Input Multiple Output Zf Mmse