Comparison of precoding methods for broadband MIMO systems

W.E.A.E. Alhanafy; S. Weiss

doi:10.1109/CAMSAP.2009.5413248

Comparison of precoding methods for broadband MIMO systems

W.E.A.E. Alhanafy, S. Weiss

Electronic And Electrical Engineering

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2 Citations (Scopus)

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Abstract

In this paper we investigate non-linear precoding solutions for the problem of broadband multiple-input multipleoutput (MIMO) systems. Based on a broadband singular value decomposition (BSVD) we can decouple a broadband MIMO channel into independent dispersive spectrally majorised singleinput single-output (SISO) subchannels. Bit loading is proposed to optimally utilise these SISO subchannels after mitigating their individual inter-symbol-interference (ISI) using Tomlinson- Harashima precoding (THP). This method is benchmarked against recent results of both MMSE linear and THP designed for frequency-selective MIMO channels. Simulation results show that better bit-error-ratio (BER) can be achieved especially for higher throughput targets when compared to the benchmark

Original language	English
DOIs	https://doi.org/10.1109/CAMSAP.2009.5413248
Publication status	Published - 13 Dec 2009
Event	IEEE 3rd International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP 09 - Aruba, Dutch Antilles Duration: 13 Dec 2009 → 16 Dec 2009

Conference

Conference	IEEE 3rd International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP 09
City	Aruba, Dutch Antilles
Period	13/12/09 → 16/12/09

Keywords

precoding methods
broadband MIMO systems
broadband
adaptive processing

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10.1109/CAMSAP.2009.5413248

MIMOstrathprints027154Submitted manuscript, 220 KB

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title = "Comparison of precoding methods for broadband MIMO systems",

abstract = "In this paper we investigate non-linear precoding solutions for the problem of broadband multiple-input multipleoutput (MIMO) systems. Based on a broadband singular value decomposition (BSVD) we can decouple a broadband MIMO channel into independent dispersive spectrally majorised singleinput single-output (SISO) subchannels. Bit loading is proposed to optimally utilise these SISO subchannels after mitigating their individual inter-symbol-interference (ISI) using Tomlinson- Harashima precoding (THP). This method is benchmarked against recent results of both MMSE linear and THP designed for frequency-selective MIMO channels. Simulation results show that better bit-error-ratio (BER) can be achieved especially for higher throughput targets when compared to the benchmark",

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AU - Alhanafy, W.E.A.E.

AU - Weiss, S.

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N2 - In this paper we investigate non-linear precoding solutions for the problem of broadband multiple-input multipleoutput (MIMO) systems. Based on a broadband singular value decomposition (BSVD) we can decouple a broadband MIMO channel into independent dispersive spectrally majorised singleinput single-output (SISO) subchannels. Bit loading is proposed to optimally utilise these SISO subchannels after mitigating their individual inter-symbol-interference (ISI) using Tomlinson- Harashima precoding (THP). This method is benchmarked against recent results of both MMSE linear and THP designed for frequency-selective MIMO channels. Simulation results show that better bit-error-ratio (BER) can be achieved especially for higher throughput targets when compared to the benchmark

AB - In this paper we investigate non-linear precoding solutions for the problem of broadband multiple-input multipleoutput (MIMO) systems. Based on a broadband singular value decomposition (BSVD) we can decouple a broadband MIMO channel into independent dispersive spectrally majorised singleinput single-output (SISO) subchannels. Bit loading is proposed to optimally utilise these SISO subchannels after mitigating their individual inter-symbol-interference (ISI) using Tomlinson- Harashima precoding (THP). This method is benchmarked against recent results of both MMSE linear and THP designed for frequency-selective MIMO channels. Simulation results show that better bit-error-ratio (BER) can be achieved especially for higher throughput targets when compared to the benchmark

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KW - adaptive processing

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Y2 - 13 December 2009 through 16 December 2009

ER -

Comparison of precoding methods for broadband MIMO systems

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Keywords

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