A combining design of precoder and equalizer based on shared redundancy to improve performance of ISI MIMO systems
There have been a number of researches on block transmission systems via MIMO channels due to really high data transmission rate. However, because of the existence of inter-symbol interference (ISI) in the systems, guard intervals are added to eliminate the ISI, leading to a reduction in channel ene...
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| Published in: | Wireless networks Vol. 25; no. 5; pp. 2741 - 2750 |
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| Language: | English |
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| Abstract | There have been a number of researches on block transmission systems via MIMO channels due to really high data transmission rate. However, because of the existence of inter-symbol interference (ISI) in the systems, guard intervals are added to eliminate the ISI, leading to a reduction in channel energy and bandwidth efficiency. In order to optimize these systems, there are many solutions in which a combining design of precoder and equalizer appears as a potential candidate. In this paper, a jointly optimal design for precoder and equalizer for ISI multiple input multiple output (MIMO) channels based on sharing redundancy is proposed. Theory analysis and simulation results demonstrate that the proposed design produces a significant improvement in the system performance such as a reduction in bit error rate, a decrease in channel energy loss and an increase in system throughput. |
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| AbstractList | There have been a number of researches on block transmission systems via MIMO channels due to really high data transmission rate. However, because of the existence of inter-symbol interference (ISI) in the systems, guard intervals are added to eliminate the ISI, leading to a reduction in channel energy and bandwidth efficiency. In order to optimize these systems, there are many solutions in which a combining design of precoder and equalizer appears as a potential candidate. In this paper, a jointly optimal design for precoder and equalizer for ISI multiple input multiple output (MIMO) channels based on sharing redundancy is proposed. Theory analysis and simulation results demonstrate that the proposed design produces a significant improvement in the system performance such as a reduction in bit error rate, a decrease in channel energy loss and an increase in system throughput. |
| Author | Quan, Do Thanh Hieu, Ta Chi Doanh, Bui Quoc Hiep, Pham Thanh |
| Author_xml | – sequence: 1 givenname: Bui Quoc orcidid: 0000-0003-1623-0356 surname: Doanh fullname: Doanh, Bui Quoc email: buiquocdoanh@tcu.edu.vn organization: Le Quy Don Technical University – sequence: 2 givenname: Do Thanh surname: Quan fullname: Quan, Do Thanh organization: Le Quy Don Technical University – sequence: 3 givenname: Pham Thanh surname: Hiep fullname: Hiep, Pham Thanh organization: Le Quy Don Technical University – sequence: 4 givenname: Ta Chi surname: Hieu fullname: Hieu, Ta Chi organization: Le Quy Don Technical University |
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| CitedBy_id | crossref_primary_10_1007_s11277_021_09404_0 crossref_primary_10_1016_j_aeue_2020_153572 |
| Cites_doi | 10.1109/T-WC.2008.070348 10.1109/26.974266 10.1109/TCOMM.2007.908551 10.1109/MITP.2017.9 10.1109/78.992130 10.1109/TVT.2012.2207750 10.1109/TSP.2006.882067 10.1109/COMST.2016.2532458 10.1109/78.771047 10.1109/TSP.2009.2033000 10.1109/LCOMM.2011.103111.110542 10.1109/TIT.2013.2289860 10.1109/LSP.2009.2016455 10.5772/56034 10.1109/TCOMM.2011.062311.100342 10.1109/ACCESS.2015.2461602 10.1109/MWC.2015.7054723 10.1109/ICASSP.2016.7472336 10.1109/18.761338 10.1109/TWC.2016.2643658 10.1109/ACCESS.2017.2779844 10.1109/78.995062 10.1109/LPT.2019.2899891 10.1109/JSAC.1987.1146527 10.1109/TSP.2012.2188717 10.1109/JSTSP.2008.922476 10.1109/TSP.2009.2037347 10.1109/JSAC.2018.2824360 10.1109/TVT.2018.2876788 10.1109/WCL.2012.050112.120189 10.1109/TVLSI.2009.2031137 10.1049/iet-com:20070037 |
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| Keywords | Sharing redundancy Precoder Equalizer Trailing zero Block transmission Leading zero ISI MIMO systems BER |
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S-Y Cheng (1990_CR10) 2011; 19 A Gupta (1990_CR2) 2015; 3 WA Martins (1990_CR40) 2010; 58 H Yang (1990_CR32) 2018; 67 AH Mehana (1990_CR22) 2014; 60 A Scaglione (1990_CR30) 1999; 45 N Al-Falahy (1990_CR4) 2017; 19 A Scaglione (1990_CR16) 2002; 50 K Kuchi (1990_CR25) 2012; 1 1990_CR36 1990_CR37 S Song (1990_CR27) 2011; 59 1990_CR34 1990_CR1 1990_CR35 H Sampath (1990_CR31) 2001; 49 M Agiwal (1990_CR3) 2016; 18 1990_CR6 1990_CR38 B Vrigneau (1990_CR11) 2008; 2 1990_CR17 Y Zhai (1990_CR33) 2019; 31 1990_CR9 C Dong (1990_CR26) 2012; 61 M Grossmann (1990_CR12) 2009; 16 W Zeng (1990_CR15) 2012; 60 C-Y Lin (1990_CR8) 2008; 7 Y Cao (1990_CR20) 2018; 36 M Sandell (1990_CR14) 2011; 15 M-W Kwan (1990_CR24) 2007; 55 AA Saleh (1990_CR41) 1987; 5 1990_CR23 GA Akpakwu (1990_CR5) 2018; 6 P Xiao (1990_CR13) 2010; 58 A Scaglione (1990_CR29) 1999; 47 X Gao (1990_CR7) 2007; 55 X Shao (1990_CR21) 2007; 1 J Guo (1990_CR19) 2017; 16 R Gupta (1990_CR28) 2012; 3 Y-P Lin (1990_CR39) 2002; 50 N Zhao (1990_CR18) 2015; 22 |
| References_xml | – reference: AgiwalMRoyASaxenaNNext generation 5G wireless networks: A comprehensive surveyIEEE Communications Surveys and Tutorials20161831617165510.1109/COMST.2016.2532458 – reference: SampathHStoicaPPaulrajAGeneralized linear precoder and decoder design for MIMO channels using the weighted MMSE criterionIEEE Transactions on Communications200149122198220610.1109/26.974266 – reference: KwanM-WKokC-WMmse equalizer for MIMO-ISI channel with shorten guard periodIEEE Transactions on Signal Processing2007551389395238068810.1109/TSP.2006.8820671391.94678 – reference: ZengWXiaoCWangMLuJLinear precoding for finite-alphabet inputs over MIMO fading channels with statistical CSIIEEE Transactions on Signal Processing201260631343148292407710.1109/TSP.2012.21887171393.94766 – reference: VrigneauBLetessierJRostaingPCollinLBurelGExtension of the MIMO precoder based on the minimum euclidean distance: A cross-form matrixIEEE Journal of Selected Topics in Signal Processing20082213510.1109/JSTSP.2008.922476 – reference: MehanaAHNosratiniaADiversity of MIMO linear precodingIEEE Transactions on Information Theory201460210191038316496010.1109/TIT.2013.22898601364.94298 – reference: YangHChenCZhongWAlphonesAJoint precoder and equalizer design for multi-user multi-cell MIMO VLC systemsIEEE Transactions on Vehicular Technology20186712113541136410.1109/TVT.2018.2876788 – reference: Dall’Anese, E., Pupolin, S., & Assalini, A., (2011). Sum mutual information of block-faded MIMO MAC with LMMSE channel estimation for packet transmission. In 14th international symposium on wireless personal multimedia communications (WPMC) (pp. 1–5). New York: IEEE. – reference: Liu, C., Ta, C. H., & Weiss, S., (2007). Joint precoding and equalisation design using oversampled filter banks for dispersive channels with correlated noise. In IEEE workshop on signal processing systems (pp. 232–236). New York: IEEE. – reference: GuptaRGroverABER performance analysis of MIMO systems using equalization techniquesInnovative Systems Design and Engineering20123101125 – reference: Gohil, A., Modi, H., & Patel, S. K. (2013). 5G technology of mobile communication: A survey. In 2013 international conference on intelligent systems and signal processing (ISSP) (pp. 288–292). 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| SubjectTerms | Bandwidths Bit error rate Channels Communications Engineering Computer Communication Networks Data transmission Electrical Engineering Energy dissipation Engineering IT in Business MIMO (control systems) Networks Optimization Performance enhancement Reduction Redundancy Wireless networks |
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