nach oben

Wireless Personal Communications

Erschienen in:

06.09.2020

Improved Performance of Alamouti Scheme Using Cyclic Delay Diversity and Doppler Diversity for MIMO Systems-Based

verfasst von: Saeed Ghazi-Maghrebi, Behnam Akbarian

Erschienen in: Wireless Personal Communications | Ausgabe 3/2021

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

This paper addresses a novel Alamouti space frequency block decoding scheme for multiple-input multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM) based systems using diversity techniques over highly frequency selective channels. Unlike the standard Alamouti space-frequency block code (SFBC), that suffer from performance degradation in highly frequency-selective channels, the proposed method combats this problem. Also, this scheme has capability to combine with different methods such as OFDM and some special diversity such as: cyclic delay diversity (CDD) and discontinuous Doppler diversity (DDoD). In addition, a novelty transceiver using CDD is proposed, which performs valuable results. In this paper, this scheme is called “Efficient Δh-Alamouti with CDD”. This efficient Alamouti encoder and decoder allow a high reliability and capacity enhancement. In order to evaluate its capability, we have implemented this scheme for the second generation terrestrial video broadcasting (DVB-T2) system. The properties of the proposed scheme is investigated over different channels. Also, mathematical analyses and simulation results of the bit error performance for the modified encoding method with these diversity techniques, perform mostly better than the other forms of encoding Alamouti over highly frequency-selective channels such as single frequency networks (SFN). The other advantages of the proposed method are simplicity, flexibility and standard compatibility.

Vorheriger Artikel Performance Assessment of Time Series Forecasting Models for Cloud Datacenter Networks’ Workload Prediction

Nächster Artikel Denial-of-Service Attacks on Wireless Sensor Network and Defense Techniques

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Omri, A., Hamila, R., Hazmi, A., Bouallegue, R., & Al-Dweik, A. (2011). Enhanced Alamouti decoding scheme for DVB-T2 systems in SFN channels. In IEEE international symposium on personal, indoor and mobile radio communications PIMRC (pp. 1626–1630). https://doi.org/10.1109/pimrc.2011.6139779.

Simon, E. P., Ros, L., Hijazi, H., & Ghogho, M. (2012). Joint carrier frequency offset and channel estimation for OFDM systems via the EM algorithm in the presence of very high mobility. IEEE Transactions on Signal Processing, 60(2), 754–765. https://doi.org/10.1109/Tsp.2011.2174053.MathSciNetCrossRefMATH

Yao, J., et al. (2019). Comprehensive study on MIMO-related interference management in WLANs. IEEE Communications Surveys and Tutorials, 21(3), 2087–2110. https://doi.org/10.1109/COMST.2019.2894160.CrossRef

Nazarov, L. E. (2019). Signal constructions based on OFDM signals resistant to the influence of spectrum-concentrated interference. Journal of Communications Technology and Electronics, 64(8), 774–782. https://doi.org/10.1134/S106422691907012X.CrossRef

Yang, K., Yang, N., Xing, C., Wu, J., & An, J. (2016). Space–time network coding with antenna selection. IEEE Transactions on Vehicular Technology, 65(7), 5264–5274. https://doi.org/10.1109/TVT.2015.2455233.CrossRef

Biglieri, E., Calderbank, R., Constantinides, A., Goldsmith, A. J., Paulraj, A., & Poor, H. V. (2007). MIMO wireless communications. Cambridge: Cambridge University Press.CrossRef

Fernando, N., Hong, Y., Member, S., & Viterbo, E. (2016). MIMO self-heterodyne OFDM. IEEE Transactions on Vehicular Technology, 65(3), 1271–1280.CrossRef

Ahmed, S. H., Talha, S. M. U., & Khan, A. (2012). Performance evaluation of DVB-T based OFDM over wireless communication channels. Lecture Notes in Engineering and Computer Science, vol. 2195.

Tormos, M., Tanougast, C., Dandache, A., Masse, D., & Kasser, P. (2013). Modeling and performance evaluations of Alamouti technique in a single frequency network for DVB-T2. EURASIP Journal on Wireless Communications and Networking, 2013(1), 1. https://doi.org/10.1186/1687-1499-2013-78.CrossRef

10.

Liu, T. H. (2015). Analysis of the Alamouti STBC MIMO system with spatial division multiplexing over the Rayleigh fading channel. IEEE Transactions on Wireless Communications, 14(9), 5156–5170. https://doi.org/10.1109/TWC.2015.2433924.CrossRef

11.

Dammann, A., & Kaiser, S. (2002). Low complex standard conformable antenna diversity techniques for OFDM systems and its application to the DVB-T system. In ITG FACHBERICHT.

12.

Cornillet, N., Crussiere, M., & Helard, J. F. (2011). Performance of the DVB-T2 system in a single frequency network: Analysis of the distributed alamouti scheme. In IEEE international symposium on broadband multimedia systems and broadcasting, BMSB 2011—conference programme. https://doi.org/10.1109/bmsb.2011.5954961.

13.

Yang, K., Yang, N., Xing, C., Wu, J., & Zhang, Z. (2015). Space-time network coding with transmit antenna selection and maximal-ratio combining. IEEE Transactions on Wireless Communications, 14(4), 2106–2117. https://doi.org/10.1109/TWC.2014.2381217.CrossRef

14.

Zakaria, R., & Le Ruyet, D. (2012). A novel filter-bank multicarrier scheme to mitigate the intrinsic interference: Application to MIMO systems. IEEE Transactions on Wireless Communications, 11(3), 1112–1123. https://doi.org/10.1109/TWC.2012.012412.110607.CrossRef

15.

Lu, S., Narasimhan, B., & Al-Dhahir, N. (2008). A novel SFBC-OFDM scheme for doubly selective channels. IEEE Transactions on Vehicular Technology, 58(5), 2573–2578.

16.

Banawan, K. A., & Sourour, E. (2013). Turbo equalization of precoded collaborative MIMO for the uplink of LTE-advanced. In 2013 International conference on computer network and communication ICNC (pp. 988–993). https://doi.org/10.1109/ICCNC.2013.6504225.

17.

Jung, Y., & Song, H. (2018). Low-complexity and robust symbol timing synchronization scheme for MIMO DVB-T2 systems. IEEE Access, 6, 43384–43391. https://doi.org/10.1109/ACCESS.2018.2863255.CrossRef

18.

Arbi, T., Geller, B., Yang, J., Nour, C. A., & Rioul, O. (2018). Uniformly projected RCQD QAM: A low-complexity signal space diversity solution over fading channels with or without erasures. IEEE Transactions on Broadcasting, 64(4), 803–815. https://doi.org/10.1109/TBC.2018.2811618.CrossRef

19.

Sato, T., Roland, B., Ivan, P., & Pablo, A. (2006). A comparison between theoretical and practical planning approaches. In 2015 IEEE international symposium on broadband multimedia systems and broadcasting. IEEE 2015.

20.

Fay, L., Michael, L., Gómez-Barquero, D., Ammar, N., & Caldwell, M. W. (2016). An overview of the ATSC 3.0 physical layer specification. IEEE Transactions on Broadcasting, 62(1), 159–171. https://doi.org/10.1109/tbc.2015.2505417.CrossRef

21.

Alamouti, S. M. (1998). A simple transmit diversity technique for wireless communication. IEEE Journal on Selected Areas in Communications, 16(8), 1451–1458.CrossRef

22.

Gozálvez, D., Gómez-Barquero, D., Vargas, D., & Cardona, N. (2011). Time diversity in mobile DVB-T2 systems. IEEE Transactions on Broadcasting, 57(3), 617–628. https://doi.org/10.1109/TBC.2011.2161189.CrossRef

23.

Kaiser, S. (2000). Spatial transmit diversity techniques for broadband OFDM systems. Globecom’00—IEEE global telecommunication conference (Cat. No.00CH37137), vol. 3 (pp. 1824–1828), 1824. https://doi.org/10.1109/glocom.2000.891949.

24.

Zhang, Y., Cosmas, J., Loo, K. K., Bard, M., & Bari, R. D. (2007). Analysis of cyclic delay diversity on DVB-H systems over spatially correlated channel. IEEE Transactions on Broadcasting, 53(1), 247–254. https://doi.org/10.1109/TBC.2007.891702.CrossRef

25.

Plass, S., Dammann, A., Richter, G., & Bossert, M. (2008). Channel correlation properties in OFDM by using time-varying cyclic delay diversity. Journal of Communications, 3(3), 19–26.CrossRef

26.

Liu, M., & Crussi, M. (2012). Enhanced mobile digital video broadcasting with distributed space-time coding. In 2012 IEEE international conference on communications (ICC), vol. 4 (pp. 6971–6976).

27.

Plass, S., Dammann, A., & Sand, S. (2008). An overview of cyclic delay diversity and its applications. IEEE Vehicular Technology Conference. https://doi.org/10.1109/VETECF.2008.133.CrossRef

28.

Dammann, A. (2007). On the influence of cyclic delay diversity and doppler diversity on the channel characteristics in OFDM systems. In IEEE international conference on communications (pp. 4179–4184). https://doi.org/10.1109/icc.2007.689.

29.

Raulefs, R., Dammann, A., Kaiser, S., & Auer, G. (2003). The Doppler spread—Gaining diversity for future mobile radio systems. In Globecom’03—IEEE global telecommunication conference (IEEE Cat. No.03CH37489), no. December (pp. 1301–1305).

30.

Akbarian, B. (2015). Better performance of new generation of digital video broadcasting-terrestrial (DVB-T2) using Alamouti scheme with cyclic delay diversity no. Dd.

31.

Implementation guidelines for a second generation digital terrestrial television broadcasting system (DVB-T2), no. February 2012.

32.

Hamarsheh, Q., & Daoud, O. (2015). Enhancing DVB-H BER based OFDM systems. Journal of Communications Technology and Electronics, 60(8), 880–889. https://doi.org/10.1134/S1064226915080069.CrossRef

33.

Dammann, A., Raulefs, R., & Plass, S. (2007). Soft cyclic delay diversity and its performance for DVB-T in ricean channels. In GLOBECOM—IEEE global telecommunications conference (pp. 4210–4214). https://doi.org/10.1109/glocom.2007.801.

34.

Dammann, A., Plass, S., & Sand, S. (2008). Cyclic delay diversity—A simple, flexible and effective multi-antenna technology for OFDM. In IEEE international symposium on spread spectrum techniques and applications (pp. 550–554). https://doi.org/10.1109/isssta.2008.108.

35.

Gómez-Calero, C., Cuéllar, L., De Haro, L., & Martínez, R. (2009). A 2 × 2 novel MIMO testbed for DVB-T2 systems. In 2009 IEEE international symposium on broadband multimedia systems and broadcasting BMSB. https://doi.org/10.1109/isbmsb.2009.5133823.

36.

Zhou, W., Wu, J., & Fan, P. (2015). High mobility wireless communications with Doppler diversity: Fundamental performance limits. IEEE Transactions on Wireless Communications, 14(12), 6981–6992. https://doi.org/10.1109/TWC.2015.2463276.CrossRef

37.

De Haro, L. (2010). A 2 × 2 MIMO DVB-T2 system: Design, new channel estimation scheme and measurements with polarization diversity. IEEE Transactions on Broadcasting, 56(2), 184–192.CrossRef

38.

Chanthirasekaran, K., Bhagyaveni, M. A., & Parvathy, L. R. (2015). Multi-parameter based scheduling for multi-user MIMO systems. Journal of Electrical Engineering & Technology, 10(6), 2406–2412.CrossRef

39.

Tan, C. W., & Calderbank, A. R. (2009). Multiuser detection of alamouti signals. IEEE Transactions on Communications, 57(7), 2080–2089. https://doi.org/10.1109/TCOMM.2009.07.070592.CrossRef

40.

Fioranelli, F., Ritchie, M., Gürbüz, S. Z., & Griffiths, H. (2017). Feature diversity for optimized human micro-Doppler classification using multistatic radar. IEEE Transactions on Aerospace and Electronic Systems, 53(2), 640–654. https://doi.org/10.1109/TAES.2017.2651678.CrossRef

41.

Li, B., Member, S., Zhou, S., & Stojanovic, M. (2008). Differential orthogonal space-time block coding modulation for time-variant underwater acoustic channels. IEEE Journal of Oceanic Engineering, 33(2), 198–209.CrossRef

Titel: Improved Performance of Alamouti Scheme Using Cyclic Delay Diversity and Doppler Diversity for MIMO Systems-Based
verfasst von: Saeed Ghazi-Maghrebi
Behnam Akbarian
Publikationsdatum: 06.09.2020
Verlag: Springer US
Erschienen in: Wireless Personal Communications / Ausgabe 3/2021
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-020-07775-4

Neuer Inhalt

Bildnachweise

VDI-Icon, Profil Icon, inhalt2, Springer Professional Modul/© Springer Fachmedien Wiesbaden GmbH, Nachhaltigkeitsaward Key Visual/© Cometis AG/Global ESG Monitor | Daniel Rupp | Generiert mit KI, Search Icon, Banner Hanser, Kryptowährungen/© gopixa / Getty Images / iStock, MG4 aus China auf dem Prüfstand im ADAC-Technik-Zentrum in Landsberg am Lech/© ADAC e.V., Chassis eines Elektrofahrzeugs/© chesky / stock.adobe.com, Zeitschrift Wissensmanagement Cover, PatentFit-Logo/© Springer Fachmedien Wiesbaden GmbH, Sustainibility Finance/© Robert Kneschke / stock.adobe.com / Springer Fachmedien Wiesbaden GmbH, Zukunftswerkstatt Sales Excellence 2024/© AndreyPopov / Getty Images / iStock, 2023_Antrieb/© supervisuell

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 3/2021

Interference Management for Different 5G Cellular Network Constructions

Privacy-Preserving Lightweight Data Monitoring in Internet of Things Environments

Evaluating Regression Models for Temporal Prediction of Wi-Fi Device Mobility

Multi-objective Virtual Machine Selection in Cloud Data Centers Using Optimized Scheduling

Modified Naïve Bayes Classifier for Mode Switching and Mobility Management Using Cellular Networks

Enhancing the Spectrum Sensing Performance of Cluster-Based Cooperative Cognitive Radio Networks via Sequential Multiple Reporting Channels

Neuer Inhalt

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.