Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3744
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJayakody, D N K-
dc.contributor.authorYang, F-
dc.contributor.authorUllah, W-
dc.date.accessioned2024-09-11T06:13:54Z-
dc.date.available2024-09-11T06:13:54Z-
dc.date.issued2024-12-
dc.identifier.issn1389-1286-
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/3744-
dc.description.abstractThis paper investigates the performance of coded massive multiple-input multiple-output (MIMO) systems utilizing Orthogonal Time Frequency and Space modulation (OTFS). Our innovative approach harnesses the power of OTFS modulation, a cutting-edge modulation technique renowned for its capacity to mitigate the detrimental effects of time-varying channels. Additionally, we introduce a comprehensive system model that incorporates the pivotal elements of channel coding and decoding The system model incorporates channel coding and decoding to improve the bit error rate and enhance the overall performance. The numerical results show that the proposed scheme outperforms existing techniques in terms of BER and spectral efficiency, especially in high-mobility scenarios. The proposed system demonstrates significant robustness against channel estimation errors and Doppler spread. This indicates that coded massive MIMO employing OTFS modulation offers a highly effective solution for future wireless communication systems. The findings highlight the potential of this approach to enhance the reliability and performance of next-generation networks.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofseriesComputer Networks;Volume 254-
dc.subjectLDPC codesen_US
dc.subjectOTFSen_US
dc.subjectOFDMen_US
dc.subjectMassive MIMOen_US
dc.subjectChannel codingen_US
dc.subjectDelay doppleren_US
dc.subject5G and 6Gen_US
dc.titleOTFS modulated massive MIMO with 5G NR LDPC coding: Trends, challenges and future directionsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.comnet.2024.110751en_US
Appears in Collections:Department of Electrical and Electronic Engineering

Files in This Item:
File Description SizeFormat 
1-s2.0-S1389128624005838-main.pdf
  Until 2050-12-31
1.39 MBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.