MIMO OFDM signal detection using quadratic programming

Farrukh A. Bhatti, Shoaib A. Khan, Saeed Ur Rehman, Faiz Rasool

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper we present a novel optimization scheme based on quadratic programming (QP) for solving Maximum Likelihood Decoding (MLD) problem in Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) signal detection systems. Though the MLD method gives the most optimum mathematical solution for detecting multiple signals at the MIMO receiver, but it is hard to implement because of its high computational complexity, that grows exponentially as the number of transmit antennas or the modulation order is increased. The proposed method has extremely low computational complexity as compared to that of the MLD scheme. The proposed method has also been compared with the Zero Forcing (ZF) method which is the simplest method but has high bit error rates. Overall the QP method offers a good tradeoff between high computational complexity (of MLD) and low error performance (of ZF) for a MIMO OFDM receiver.

Original languageEnglish
Title of host publication2011 IEEE 14th International Multitopic Conference
Pages323-328
Number of pages6
ISBN (Electronic)978-1-4577-0657-8, 978-1-4577-0656-1
DOIs
Publication statusPublished - 13 Feb 2012
Externally publishedYes
Event14th IEEE International Multitopic Conference 2011, INMIC 2011 - Karachi, Pakistan
Duration: 22 Dec 201124 Dec 2011

Conference

Conference14th IEEE International Multitopic Conference 2011, INMIC 2011
CountryPakistan
CityKarachi
Period22/12/1124/12/11

Keywords

  • MIMO
  • OFDM
  • Quadratic Programming
  • Space Division Multiplexing

Fingerprint Dive into the research topics of 'MIMO OFDM signal detection using quadratic programming'. Together they form a unique fingerprint.

  • Cite this

    Bhatti, F. A., Khan, S. A., Rehman, S. U., & Rasool, F. (2012). MIMO OFDM signal detection using quadratic programming. In 2011 IEEE 14th International Multitopic Conference (pp. 323-328). [6151497] https://doi.org/10.1109/INMIC.2011.6151497