Energy spreading transform approach to achieve full diversity and full rate for MIMO systems

Taewon Hwang; Yunesung Kim; Hyunsung Park

doi:10.1109/TSP.2012.2214217

Energy spreading transform approach to achieve full diversity and full rate for MIMO systems

Taewon Hwang, Yunesung Kim, Hyunsung Park

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

Full-diversity full-rate (FDFR) space-time codes achieve both high data rate and good reliability at the cost of high decoding complexity. In this paper, we propose a low-complexity MIMO scheme that achieves both full diversity and full rate over flat fading channels for a sufficiently large number of transmit and receive antennas. The proposed scheme is constructed by applying energy spreading transforms (EST's) to multiple data streams and spatially multiplexing the streams to multiple transmit antennas. Simulation results show that the proposed FDFR scheme outperforms the threaded algebraic space-time (TAST) code, which is a FDFR code based on maximum likelihood (ML) detection, when the number of transmit antennas (with the same number of receive antennas) are three and four. However, its detection complexity is only that of a decision-feedback detector.

Original language	English
Article number	6275503
Pages (from-to)	6547-6560
Number of pages	14
Journal	IEEE Transactions on Signal Processing
Volume	60
Issue number	12
DOIs	https://doi.org/10.1109/TSP.2012.2214217
Publication status	Published - 2012

Bibliographical note

Funding Information:
Manuscript received January 25, 2012; revised May 29, 2012 and August 03, 2012; accepted August 04, 2012. Date of publication August 20, 2012; date of current version November 20, 2012. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Xiang-Gen Xia. This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2011-0003625).

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering

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10.1109/TSP.2012.2214217

Cite this

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title = "Energy spreading transform approach to achieve full diversity and full rate for MIMO systems",

abstract = "Full-diversity full-rate (FDFR) space-time codes achieve both high data rate and good reliability at the cost of high decoding complexity. In this paper, we propose a low-complexity MIMO scheme that achieves both full diversity and full rate over flat fading channels for a sufficiently large number of transmit and receive antennas. The proposed scheme is constructed by applying energy spreading transforms (EST's) to multiple data streams and spatially multiplexing the streams to multiple transmit antennas. Simulation results show that the proposed FDFR scheme outperforms the threaded algebraic space-time (TAST) code, which is a FDFR code based on maximum likelihood (ML) detection, when the number of transmit antennas (with the same number of receive antennas) are three and four. However, its detection complexity is only that of a decision-feedback detector.",

author = "Taewon Hwang and Yunesung Kim and Hyunsung Park",

note = "Funding Information: Manuscript received January 25, 2012; revised May 29, 2012 and August 03, 2012; accepted August 04, 2012. Date of publication August 20, 2012; date of current version November 20, 2012. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Xiang-Gen Xia. This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2011-0003625).",

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AU - Hwang, Taewon

AU - Kim, Yunesung

AU - Park, Hyunsung

N1 - Funding Information: Manuscript received January 25, 2012; revised May 29, 2012 and August 03, 2012; accepted August 04, 2012. Date of publication August 20, 2012; date of current version November 20, 2012. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Xiang-Gen Xia. This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2011-0003625).

PY - 2012

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N2 - Full-diversity full-rate (FDFR) space-time codes achieve both high data rate and good reliability at the cost of high decoding complexity. In this paper, we propose a low-complexity MIMO scheme that achieves both full diversity and full rate over flat fading channels for a sufficiently large number of transmit and receive antennas. The proposed scheme is constructed by applying energy spreading transforms (EST's) to multiple data streams and spatially multiplexing the streams to multiple transmit antennas. Simulation results show that the proposed FDFR scheme outperforms the threaded algebraic space-time (TAST) code, which is a FDFR code based on maximum likelihood (ML) detection, when the number of transmit antennas (with the same number of receive antennas) are three and four. However, its detection complexity is only that of a decision-feedback detector.

AB - Full-diversity full-rate (FDFR) space-time codes achieve both high data rate and good reliability at the cost of high decoding complexity. In this paper, we propose a low-complexity MIMO scheme that achieves both full diversity and full rate over flat fading channels for a sufficiently large number of transmit and receive antennas. The proposed scheme is constructed by applying energy spreading transforms (EST's) to multiple data streams and spatially multiplexing the streams to multiple transmit antennas. Simulation results show that the proposed FDFR scheme outperforms the threaded algebraic space-time (TAST) code, which is a FDFR code based on maximum likelihood (ML) detection, when the number of transmit antennas (with the same number of receive antennas) are three and four. However, its detection complexity is only that of a decision-feedback detector.

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Energy spreading transform approach to achieve full diversity and full rate for MIMO systems

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