We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Selection of Appropriate Detection Scheme for Optimum Performance-Complexity Trade-Off in 3GPP Suburban Macrocell Wireless MIMO Environments

by Nikita Jain, Shivpratap Pandey, Piyush Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 16
Year of Publication: 2015
Authors: Nikita Jain, Shivpratap Pandey, Piyush Sharma
10.5120/ijca2015907600

Nikita Jain, Shivpratap Pandey, Piyush Sharma . Selection of Appropriate Detection Scheme for Optimum Performance-Complexity Trade-Off in 3GPP Suburban Macrocell Wireless MIMO Environments. International Journal of Computer Applications. 131, 16 ( December 2015), 23-26. DOI=10.5120/ijca2015907600

@article{ 10.5120/ijca2015907600,
author = { Nikita Jain, Shivpratap Pandey, Piyush Sharma },
title = { Selection of Appropriate Detection Scheme for Optimum Performance-Complexity Trade-Off in 3GPP Suburban Macrocell Wireless MIMO Environments },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 16 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 23-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number16/23534-2015907600/ },
doi = { 10.5120/ijca2015907600 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:27:34.774271+05:30
%A Nikita Jain
%A Shivpratap Pandey
%A Piyush Sharma
%T Selection of Appropriate Detection Scheme for Optimum Performance-Complexity Trade-Off in 3GPP Suburban Macrocell Wireless MIMO Environments
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 16
%P 23-26
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents an analytical solution to the problem of selecting an optimum symbol detector for wireless MIMO communications in the LTE/4G suburban macrocell environments. Since, the use of a symbol detector in MIMO systems is often limited by the complexity it offers, it is of vital importance to use a detector which offers reliable performance but does not offer high complexity. This paper analyses the error rate performance and computational complexity of Zero Forcing (ZF), Minimum Mean Square Error (MMSE) and Maximum Likelihood (ML) and suggests the optimum detectors with reasonable complexity- performance trade-off.

References
  1. R. Chang, and W. Chung, “Low -Complexity MIMO Detection Based on Post-Equalization Subspace Search,” in IEEE transactions on Vehicular Technology, vol. 61, no. 1, January 2012
  2. 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).
  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 onVehicular Technology, Fall 2009, Anchorage, pp. 1-5.
  5. D. Seethaler, H. Artes, and F. Hlawatsch, “Detection Techniques for MIMO Spatial Multiplexing Systems” ine&i, vol. 122, no. 3, pp. 91–96, March 2005.
  6. A. M. Elshokry, “Complexity and Performance Evaluation of Detection Schemes for Spatial Multiplexing MIMO Systems”, Thesis, IslamicUniversity, Gaza, January 2010.
  7. Spatial channel model for Multiple Input Multiple Output (MIMO) simulations. 3GPP. http://www.3gpp.org/DynaReport/25996.htm
  8. 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.
  9. 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.
  10. 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.
  11. 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.
Index Terms

Computer Science
Information Sciences

Keywords

MIMO Symbol detector.