MIMO OFDM signal detection using quadratic programming

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

doi:10.1109/INMIC.2011.6151497

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 proceeding › Conference contribution › peer-review

4 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 language	English
Title of host publication	2011 IEEE 14th International Multitopic Conference
Pages	323-328
Number of pages	6
ISBN (Electronic)	978-1-4577-0657-8, 978-1-4577-0656-1
DOIs	https://doi.org/10.1109/INMIC.2011.6151497
Publication status	Published - 13 Feb 2012
Externally published	Yes
Event	14th IEEE International Multitopic Conference 2011 - Sir Syed University of Engineering, Karachi, Pakistan Duration: 22 Dec 2011 → 24 Dec 2011

Conference

Conference	14th IEEE International Multitopic Conference 2011
Abbreviated title	INMIC 2011
Country/Territory	Pakistan
City	Karachi
Period	22/12/11 → 24/12/11

Keywords

MIMO
OFDM
Quadratic Programming
Space Division Multiplexing

Access to Document

10.1109/INMIC.2011.6151497

Cite this

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title = "MIMO OFDM signal detection using quadratic programming",

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.",

keywords = "MIMO, OFDM, Quadratic Programming, Space Division Multiplexing",

author = "Bhatti, {Farrukh A.} and Khan, {Shoaib A.} and Rehman, {Saeed Ur} and Faiz Rasool",

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doi = "10.1109/INMIC.2011.6151497",

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note = "14th IEEE International Multitopic Conference 2011, INMIC 2011 ; Conference date: 22-12-2011 Through 24-12-2011",

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T1 - MIMO OFDM signal detection using quadratic programming

AU - Bhatti, Farrukh A.

AU - Khan, Shoaib A.

AU - Rehman, Saeed Ur

AU - Rasool, Faiz

PY - 2012/2/13

Y1 - 2012/2/13

N2 - 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.

AB - 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.

KW - MIMO

KW - OFDM

KW - Quadratic Programming

KW - Space Division Multiplexing

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BT - 2011 IEEE 14th International Multitopic Conference

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Y2 - 22 December 2011 through 24 December 2011

ER -

MIMO OFDM signal detection using quadratic programming

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Keywords

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