Compressive sensing aided data detection for GSM systems in MIMO ISI wireless channels

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Abstract

Generalized spatial modulation (GSM) is a variant of spatial modulation (SM) which offers enhanced spectral efficiency with a moderate increase in signal processing complexity. This paper proposes a novel compressive sensing (CS) aided detection algorithm which offers better performance than traditional CS based detection algorithms. In contrast to widely considered frequency-flat channel models, we have adopted frequency-selective wireless channel models to account for high data-rate applications. Our proposed algorithm offers superior performance over traditional CS based algorithms even in the presence of channel estimation errors. Numerical experiments are conducted to investigate the mathematical analysis under different suppositions on channel state information. Normalized mean-square error (NMSE) and bit-error rate (BER) versus signal-to-noise (SNR) curves are studied to investigate the performance under different detection algorithms.

LanguageEnglish
Title of host publicationICC 2015 - 2015 IEEE International Conference on Communications
Place of PublicationPiscataway, N.J.
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages4582-4586
Number of pages5
Volume2015-September
ISBN (Electronic)9781467364324, 9781467364317
DOIs
Publication statusPublished - Jun 2015
EventIEEE International Conference on Communications, ICC 2015 - London, United Kingdom
Duration: 8 Jun 201512 Jun 2015

Publication series

NameIEEE International Conference on Communications
PublisherIEEE
ISSN (Print)1550-3607

Other

OtherIEEE International Conference on Communications, ICC 2015
CountryUnited Kingdom
CityLondon
Period8/06/1512/06/15

Fingerprint

MIMO systems
Modulation
Channel state information
Channel estimation
Mean square error
Bit error rate
Signal processing
Experiments

Cite this

Shaikh, Z. A., Collings, I. B., Hanly, S. V., & Whiting, P. (2015). Compressive sensing aided data detection for GSM systems in MIMO ISI wireless channels. In ICC 2015 - 2015 IEEE International Conference on Communications (Vol. 2015-September, pp. 4582-4586). [7249045] (IEEE International Conference on Communications). Piscataway, N.J.: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICC.2015.7249045
Shaikh, Z. A. ; Collings, I. B. ; Hanly, S. V. ; Whiting, P. / Compressive sensing aided data detection for GSM systems in MIMO ISI wireless channels. ICC 2015 - 2015 IEEE International Conference on Communications. Vol. 2015-September Piscataway, N.J. : Institute of Electrical and Electronics Engineers (IEEE), 2015. pp. 4582-4586 (IEEE International Conference on Communications).
@inproceedings{5a64573c4e884dfca5d826e0aba5641c,
title = "Compressive sensing aided data detection for GSM systems in MIMO ISI wireless channels",
abstract = "Generalized spatial modulation (GSM) is a variant of spatial modulation (SM) which offers enhanced spectral efficiency with a moderate increase in signal processing complexity. This paper proposes a novel compressive sensing (CS) aided detection algorithm which offers better performance than traditional CS based detection algorithms. In contrast to widely considered frequency-flat channel models, we have adopted frequency-selective wireless channel models to account for high data-rate applications. Our proposed algorithm offers superior performance over traditional CS based algorithms even in the presence of channel estimation errors. Numerical experiments are conducted to investigate the mathematical analysis under different suppositions on channel state information. Normalized mean-square error (NMSE) and bit-error rate (BER) versus signal-to-noise (SNR) curves are studied to investigate the performance under different detection algorithms.",
author = "Shaikh, {Z. A.} and Collings, {I. B.} and Hanly, {S. V.} and P. Whiting",
year = "2015",
month = "6",
doi = "10.1109/ICC.2015.7249045",
language = "English",
volume = "2015-September",
series = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "4582--4586",
booktitle = "ICC 2015 - 2015 IEEE International Conference on Communications",
address = "United States",

}

Shaikh, ZA, Collings, IB, Hanly, SV & Whiting, P 2015, Compressive sensing aided data detection for GSM systems in MIMO ISI wireless channels. in ICC 2015 - 2015 IEEE International Conference on Communications. vol. 2015-September, 7249045, IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, N.J., pp. 4582-4586, IEEE International Conference on Communications, ICC 2015, London, United Kingdom, 8/06/15. https://doi.org/10.1109/ICC.2015.7249045

Compressive sensing aided data detection for GSM systems in MIMO ISI wireless channels. / Shaikh, Z. A.; Collings, I. B.; Hanly, S. V.; Whiting, P.

ICC 2015 - 2015 IEEE International Conference on Communications. Vol. 2015-September Piscataway, N.J. : Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 4582-4586 7249045 (IEEE International Conference on Communications).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

TY - GEN

T1 - Compressive sensing aided data detection for GSM systems in MIMO ISI wireless channels

AU - Shaikh, Z. A.

AU - Collings, I. B.

AU - Hanly, S. V.

AU - Whiting, P.

PY - 2015/6

Y1 - 2015/6

N2 - Generalized spatial modulation (GSM) is a variant of spatial modulation (SM) which offers enhanced spectral efficiency with a moderate increase in signal processing complexity. This paper proposes a novel compressive sensing (CS) aided detection algorithm which offers better performance than traditional CS based detection algorithms. In contrast to widely considered frequency-flat channel models, we have adopted frequency-selective wireless channel models to account for high data-rate applications. Our proposed algorithm offers superior performance over traditional CS based algorithms even in the presence of channel estimation errors. Numerical experiments are conducted to investigate the mathematical analysis under different suppositions on channel state information. Normalized mean-square error (NMSE) and bit-error rate (BER) versus signal-to-noise (SNR) curves are studied to investigate the performance under different detection algorithms.

AB - Generalized spatial modulation (GSM) is a variant of spatial modulation (SM) which offers enhanced spectral efficiency with a moderate increase in signal processing complexity. This paper proposes a novel compressive sensing (CS) aided detection algorithm which offers better performance than traditional CS based detection algorithms. In contrast to widely considered frequency-flat channel models, we have adopted frequency-selective wireless channel models to account for high data-rate applications. Our proposed algorithm offers superior performance over traditional CS based algorithms even in the presence of channel estimation errors. Numerical experiments are conducted to investigate the mathematical analysis under different suppositions on channel state information. Normalized mean-square error (NMSE) and bit-error rate (BER) versus signal-to-noise (SNR) curves are studied to investigate the performance under different detection algorithms.

UR - http://www.scopus.com/inward/record.url?scp=84953709487&partnerID=8YFLogxK

U2 - 10.1109/ICC.2015.7249045

DO - 10.1109/ICC.2015.7249045

M3 - Conference proceeding contribution

VL - 2015-September

T3 - IEEE International Conference on Communications

SP - 4582

EP - 4586

BT - ICC 2015 - 2015 IEEE International Conference on Communications

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, N.J.

ER -

Shaikh ZA, Collings IB, Hanly SV, Whiting P. Compressive sensing aided data detection for GSM systems in MIMO ISI wireless channels. In ICC 2015 - 2015 IEEE International Conference on Communications. Vol. 2015-September. Piscataway, N.J.: Institute of Electrical and Electronics Engineers (IEEE). 2015. p. 4582-4586. 7249045. (IEEE International Conference on Communications). https://doi.org/10.1109/ICC.2015.7249045