Bidirectional Viterbi decoding algorithm for OvTDM

Overlapped time domain multiplexing (OvTDM) is an innovative encoding scheme that can obtain high spectral efficiency. However, the intentional inter-symbol interference (ISI) caused by OvTDM will make the decoding process more complex. The computational complexity of maximum likelihood sequence det...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:China communications Ročník 17; číslo 7; s. 183 - 192
Hlavní autoři: Wang, Haocheng, Wang, Yafeng, Hu, Yue
Médium: Journal Article
Jazyk:angličtina
Vydáno: China Institute of Communications 01.07.2020
Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
Témata:
ISSN:1673-5447
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Overlapped time domain multiplexing (OvTDM) is an innovative encoding scheme that can obtain high spectral efficiency. However, the intentional inter-symbol interference (ISI) caused by OvTDM will make the decoding process more complex. The computational complexity of maximum likelihood sequence detection increases exponentially with the growth of spectral efficiency in OvTDM. As a consequence of high complexity, the decoding effort for a given spectral efficiency may occasionally exceed the physical limitations of the decoder, leading inevitably to buffer overflows and information erasures. In this paper, we propose a bidirectional Viterbi algorithm (BVA) based on the bidirectional sequence decoding for OvTDM. With the BVA, the decoding operation starts simultaneously from the both ends of the corresponding trellis and stops at the middle of trellis. The simulation results show that compared with Viterbi algorithm (VA), the decoding time of BVA can be reduced by about half. And the memory space of two decoders in BVA are about half of that in VA, which means that the BVA has lower memory requirements for decoder. And the decoding performance of BVA is almost the same as VA.
AbstractList Overlapped time domain multi-plexing (OvTDM) is an innovative encoding scheme that can obtain high spectral efficien-cy. However, the intentional inter-symbol in-terference (ISI) caused by OvTDM will make the decoding process more complex. The computational complexity of maximum like-lihood sequence detection increases exponen-tially with the growth of spectral efficiency in OvTDM. As a consequence of high complex-ity, the decoding effort for a given spectral ef-ficiency may occasionally exceed the physical limitations of the decoder, leading inevitably to buffer overflows and information erasures. In this paper, we propose a bidirectional Viter-bi algorithm (BVA) based on the bidirectional sequence decoding for OvTDM. With the BVA, the decoding operation starts simultane-ously from the both ends of the corresponding trellis and stops at the middle of trellis. The simulation results show that compared with Viterbi algorithm (VA), the decoding time of BVA can be reduced by about half. And the memory space of two decoders in BVA are about half of that in VA, which means that the BVA has lower memory requirements for de-coder. And the decoding performance of BVA is almost the same as VA.
Overlapped time domain multiplexing (OvTDM) is an innovative encoding scheme that can obtain high spectral efficiency. However, the intentional inter-symbol interference (ISI) caused by OvTDM will make the decoding process more complex. The computational complexity of maximum likelihood sequence detection increases exponentially with the growth of spectral efficiency in OvTDM. As a consequence of high complexity, the decoding effort for a given spectral efficiency may occasionally exceed the physical limitations of the decoder, leading inevitably to buffer overflows and information erasures. In this paper, we propose a bidirectional Viterbi algorithm (BVA) based on the bidirectional sequence decoding for OvTDM. With the BVA, the decoding operation starts simultaneously from the both ends of the corresponding trellis and stops at the middle of trellis. The simulation results show that compared with Viterbi algorithm (VA), the decoding time of BVA can be reduced by about half. And the memory space of two decoders in BVA are about half of that in VA, which means that the BVA has lower memory requirements for decoder. And the decoding performance of BVA is almost the same as VA.
Author Wang, Haocheng
Wang, Yafeng
Hu, Yue
AuthorAffiliation Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
AuthorAffiliation_xml – name: Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
Author_xml – sequence: 1
  givenname: Haocheng
  surname: Wang
  fullname: Wang, Haocheng
  organization: Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
– sequence: 2
  givenname: Yafeng
  surname: Wang
  fullname: Wang, Yafeng
  organization: Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
– sequence: 3
  givenname: Yue
  surname: Hu
  fullname: Hu, Yue
  organization: Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
BookMark eNo9kD1PwzAQhj0UiVL6AxBLFsaE80fseIRAgaqoS2G1HNsJrtoYOeHz15MSxC23PM_p3vcETdrQOoTOMGSESiwvl1lZZgQIZCAywHSCppgLmuaMiWM077otDFNwTjmZInLtrY_O9D60epc8-97FyifWmWB92yR614To-5d9UoeYrN83N4-n6KjWu87N__YMPS1uN-V9ulrfPZRXq9QQJvq0MLgwtZOslrnQIAthLJWOVJpyh43ljGMM1lYV4WCMsLowxg6QrqocrKQzdDHe_dBtrdtGbcNbHJ7s1HfTfx4SghjyDRweORND10VXq9fo9zp-KQzqtxO1VGWpDoYCoUbnfHS8c-6fl5gJzAj9Ad3ZYLI
CODEN CCHOBE
ContentType Journal Article
Copyright Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
Copyright_xml – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
DBID 97E
RIA
RIE
AAYXX
CITATION
2B.
4A8
92I
93N
PSX
TCJ
DOI 10.23919/J.CC.2020.07.013
DatabaseName IEEE Xplore (IEEE)
IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE Electronic Library (IEL)
CrossRef
Wanfang Data Journals - Hong Kong
WANFANG Data Centre
Wanfang Data Journals
万方数据期刊 - 香港版
China Online Journals (COJ)
China Online Journals (COJ)
DatabaseTitle CrossRef
DatabaseTitleList

Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Economics
EndPage 192
ExternalDocumentID zgtx202007013
10_23919_J_CC_2020_07_013
9147142
Genre orig-research
GroupedDBID -SI
-SJ
-S~
0R~
29B
4.4
5GY
6IK
92H
92I
97E
AAHTB
AAJGR
AARMG
AASAJ
AAWTH
ABAZT
ABJNI
ABPEJ
ABQJQ
ABVLG
AENEX
AGQYO
AGSQL
AHBIQ
AKJIK
AKQYR
ALMA_UNASSIGNED_HOLDINGS
ATWAV
AZLTO
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CAJEI
CAJEJ
EBS
EJD
HZ~
IFIPE
IPLJI
JAVBF
M43
O9-
OCL
Q--
Q-9
RIA
RIE
RNS
TCJ
TGT
U1G
U5S
U5T
AAYXX
CITATION
2B.
4A8
93N
PSX
RIG
ID FETCH-LOGICAL-c247t-8c18cfe94f957a0987cd39e2ba36e1cd646110ddbb260cc7da8ccd7cdabb50d93
IEDL.DBID RIE
ISICitedReferencesCount 1
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000551546900014&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1673-5447
IngestDate Thu May 29 03:54:25 EDT 2025
Sat Nov 29 04:28:52 EST 2025
Wed Aug 27 02:17:10 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 7
Keywords Viterbi algorithm (VA)
overlapped time domain multi-plexing (OvTDM)
decoding performance
bi-directional Viterbi algorithm (BVA)
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c247t-8c18cfe94f957a0987cd39e2ba36e1cd646110ddbb260cc7da8ccd7cdabb50d93
PageCount 10
ParticipantIDs wanfang_journals_zgtx202007013
crossref_primary_10_23919_J_CC_2020_07_013
ieee_primary_9147142
PublicationCentury 2000
PublicationDate 2020-07-01
PublicationDateYYYYMMDD 2020-07-01
PublicationDate_xml – month: 07
  year: 2020
  text: 2020-07-01
  day: 01
PublicationDecade 2020
PublicationTitle China communications
PublicationTitleAbbrev ChinaComm
PublicationTitle_FL China Communications
PublicationYear 2020
Publisher China Institute of Communications
Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
Publisher_xml – name: China Institute of Communications
– name: Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
SSID ssj0000866362
Score 2.1554375
Snippet Overlapped time domain multiplexing (OvTDM) is an innovative encoding scheme that can obtain high spectral efficiency. However, the intentional inter-symbol...
Overlapped time domain multi-plexing (OvTDM) is an innovative encoding scheme that can obtain high spectral efficien-cy. However, the intentional inter-symbol...
SourceID wanfang
crossref
ieee
SourceType Aggregation Database
Index Database
Publisher
StartPage 183
SubjectTerms bidirectional Viterbi algorithm (BVA)
Convolutional codes
decoding performance
Encoding
Maximum likelihood decoding
Multiplexing
overlapped time domain multiplexing (OvTDM)
Spectral efficiency
Viterbi algorithm
Viterbi algorithm (VA)
Title Bidirectional Viterbi decoding algorithm for OvTDM
URI https://ieeexplore.ieee.org/document/9147142
https://d.wanfangdata.com.cn/periodical/zgtx202007013
Volume 17
WOSCitedRecordID wos000551546900014&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVIEE
  databaseName: IEEE Electronic Library (IEL)
  issn: 1673-5447
  databaseCode: RIE
  dateStart: 20130101
  customDbUrl:
  isFulltext: true
  dateEnd: 99991231
  titleUrlDefault: https://ieeexplore.ieee.org/
  omitProxy: false
  ssIdentifier: ssj0000866362
  providerName: IEEE
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3LS8MwGA9zCHrxNcX5GD14Eru1Tdo0R60OGTo9zLFbyHMOtJOtG-Jfb5J2Q8GLtx7yQfml_d6_7wPggkWRwhpyH2mJfKMluc8kFr4dFIM1x4i7nZHDB9zvp6MRea6BqzUXRinlms9U2z66Wr6cioVNlXVIaFQpMgp3A-Ok5Gqt8ynGNU-g2x8aJtjW-xEui5gRJCHp9NpZZqLBKHCjOkP4ywy5vSqOtZNrlo9_GJju7v9ebQ_sVI6kd13e_D6oqfwAbK14xvMGiG4mpb1yyT5vaLnGfOJJE29ae-Wxt_F0Nile3z3jt3pPy8Ht4yF46d4Nsnu_2pDgiwjhwk9FmAqtCNIkxiwgKRYSEhVxBhMVCpmgxJh3KTk3YYsQWLJUCHMVknEeB5LAI1DPp7k6Bp7tRo5lbKezY6Q5JEgwhmKRGAEe66AJLleA0Y9yEAY1AYRDl_ZollGLLg0wNeg2QcNCtD5YodMErQpiWv0pc_o1Lj6tpFE9ITz5W-4UbNsjZZfsGagXs4U6B5tiWUzms5b7Dr4BkNKv2Q
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV05T8MwFH6qAAkWbkQ5SgYmREoSO3E8QgBxlMJQUDfLV0olSFGbIsSvx3ZCBRILWwY_KfqcvPt7D-CQR5EmORI-zhX2jZYUPldE-nZQDMkFwcLtjHzqkG437ffpQwOOZ1wYrbVrPtNt--hq-WokpzZVdkJDo0qxUbjzMcZRULG1ZhkV45wnyG0QDRNiK_6YVGXMCNGQnty0s8zEg1HghnWG6JchcptVHG-nyHkx-GFiLlf-93KrsFy7kt5pdfdr0NDFOix-M40nGxCdDSuL5dJ93pNlG4uhp0zEaS2Wx18Go_GwfH71jOfq3b_3zu824fHyopdd-fWOBF9GmJR-KsNU5prinMaEBzQlUiGqI8FRokOpEpwYA6-UECZwkZIonkppLkNxIeJAUbQFc8Wo0Nvg2X7kWMV2PjvBuUAUS85xLBMjIOI8aMLRN2DsrRqFwUwI4dBlNyzLmEWXBYQZdJuwYSGaHazRaUKrhpjV_8qEfQ7KDytplE-Idv6WO4DFq95dh3Wuu7e7sGSPVz2zezBXjqd6HxbkezmcjFvum_gC5w-zIA
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Bidirectional+Viterbi+decoding+algorithm+for+OvTDM&rft.jtitle=China+communications&rft.au=Wang%2C+Haocheng&rft.au=Wang%2C+Yafeng&rft.au=Hu%2C+Yue&rft.date=2020-07-01&rft.issn=1673-5447&rft.volume=17&rft.issue=7&rft.spage=183&rft.epage=192&rft_id=info:doi/10.23919%2FJ.CC.2020.07.013&rft.externalDBID=n%2Fa&rft.externalDocID=10_23919_J_CC_2020_07_013
thumbnail_s http://cvtisr.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fzgtx%2Fzgtx.jpg