Theoretical expression of link performance in OFDM cellular networks with MIMO compared to simulation and measurements View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-12

AUTHORS

Mohamed Kadhem Karray, Miodrag Jovanovic, Bartłomiej Błaszczyszyn

ABSTRACT

The objective of this paper is to establish a theoretical expression of the link performance in the downlink of a multiple input multiple output (MIMO) cellular network and compare it to the real Long-Term Evolution (LTE ) performance. In order to account for the interference, we prove that the worst additive noise process in the MIMO context is the white Gaussian one. Based on this theoretical result, we build an analytic expression of the link performance in LTE cellular networks with MIMO. We study also the minimum mean square error (MMSE) scheme currently implemented in the field, as well as its improvement MMSE-SIC (successive interference cancellation) known to achieve the MIMO capacity. Comparison to simulation results as well as to measurements in the field shows that the theoretical expression predicts well practical link performance of LTE cellular networks. This theoretical expression of link performance is the basis of a global analytic approach to the evaluation of the quality of service perceived by the users in the long run of their arrivals and departures. More... »

PAGES

479-490

References to SciGraph publications

Journal

TITLE

Annals of Telecommunications

ISSUE

11-12

VOLUME

70

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12243-015-0469-4

DOI

http://dx.doi.org/10.1007/s12243-015-0469-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1043571617


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1005", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Communications Technologies", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/10", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Technology", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Orange (France)", 
          "id": "https://www.grid.ac/institutes/grid.89485.38", 
          "name": [
            "Orange Labs, 38/40 rue du G\u00e9n\u00e9ral Leclerc, 92794, Issy-Moulineaux, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Karray", 
        "givenName": "Mohamed Kadhem", 
        "id": "sg:person.015464012570.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015464012570.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Orange (France)", 
          "id": "https://www.grid.ac/institutes/grid.89485.38", 
          "name": [
            "Orange Labs, 38/40 rue du G\u00e9n\u00e9ral Leclerc, 92794, Issy-Moulineaux, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jovanovic", 
        "givenName": "Miodrag", 
        "id": "sg:person.010012655523.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010012655523.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "INRIA and ENS, 23 Avenue d\u2019Italie, 75214, Paris Cedex 13, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "B\u0142aszczyszyn", 
        "givenName": "Bart\u0142omiej", 
        "id": "sg:person.013154315266.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013154315266.38"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1023/a:1008889222784", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005549860", 
          "https://doi.org/10.1023/a:1008889222784"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11134-009-9144-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018937858", 
          "https://doi.org/10.1007/s11134-009-9144-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11134-009-9144-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018937858", 
          "https://doi.org/10.1007/s11134-009-9144-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-68402-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028889906", 
          "https://doi.org/10.1007/978-3-540-68402-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-68402-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028889906", 
          "https://doi.org/10.1007/978-3-540-68402-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/j.1538-7305.1948.tb01338.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052867467"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/18.749007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061100883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/18.749008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061100884"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/18.771147", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061101004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/18.868478", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061101417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/18.959289", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061101813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/26.634685", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061137792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/26.864159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061138597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/26.983319", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061139076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/jsac.2003.810294", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061316397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/lcomm.2002.1010868", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061346264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tit.2002.805084", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061649673"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tit.2004.833358", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061650208"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tit.2006.887071", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061651212"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tit.2013.2248875", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061654359"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tvt.2010.2091657", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061820625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tvt.2013.2245692", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061821679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1561/0100000001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068000260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/vetecs.2007.260", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094907760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/glocom.2012.6503488", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095101163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9780511807213", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098713051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/1676", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098885998"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-12", 
    "datePublishedReg": "2015-12-01", 
    "description": "The objective of this paper is to establish a theoretical expression of the link performance in the downlink of a multiple input multiple output (MIMO) cellular network and compare it to the real Long-Term Evolution (LTE ) performance. In order to account for the interference, we prove that the worst additive noise process in the MIMO context is the white Gaussian one. Based on this theoretical result, we build an analytic expression of the link performance in LTE cellular networks with MIMO. We study also the minimum mean square error (MMSE) scheme currently implemented in the field, as well as its improvement MMSE-SIC (successive interference cancellation) known to achieve the MIMO capacity. Comparison to simulation results as well as to measurements in the field shows that the theoretical expression predicts well practical link performance of LTE cellular networks. This theoretical expression of link performance is the basis of a global analytic approach to the evaluation of the quality of service perceived by the users in the long run of their arrivals and departures.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12243-015-0469-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1120575", 
        "issn": [
          "0003-4347", 
          "1958-9395"
        ], 
        "name": "Annals of Telecommunications", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11-12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "70"
      }
    ], 
    "name": "Theoretical expression of link performance in OFDM cellular networks with MIMO compared to simulation and measurements", 
    "pagination": "479-490", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "cf8c07bb47762b64f36d51b9675d033416b165a9d86aab58811271273da2ac4f"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12243-015-0469-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1043571617"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12243-015-0469-4", 
      "https://app.dimensions.ai/details/publication/pub.1043571617"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:49", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8684_00000523.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs12243-015-0469-4"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12243-015-0469-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12243-015-0469-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12243-015-0469-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12243-015-0469-4'


 

This table displays all metadata directly associated to this object as RDF triples.

155 TRIPLES      21 PREDICATES      52 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12243-015-0469-4 schema:about anzsrc-for:10
2 anzsrc-for:1005
3 schema:author N61c3c7b9921646c3897266be8c082634
4 schema:citation sg:pub.10.1007/978-3-540-68402-2
5 sg:pub.10.1007/s11134-009-9144-7
6 sg:pub.10.1023/a:1008889222784
7 https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
8 https://doi.org/10.1017/cbo9780511807213
9 https://doi.org/10.1109/18.749007
10 https://doi.org/10.1109/18.749008
11 https://doi.org/10.1109/18.771147
12 https://doi.org/10.1109/18.868478
13 https://doi.org/10.1109/18.959289
14 https://doi.org/10.1109/26.634685
15 https://doi.org/10.1109/26.864159
16 https://doi.org/10.1109/26.983319
17 https://doi.org/10.1109/glocom.2012.6503488
18 https://doi.org/10.1109/jsac.2003.810294
19 https://doi.org/10.1109/lcomm.2002.1010868
20 https://doi.org/10.1109/tit.2002.805084
21 https://doi.org/10.1109/tit.2004.833358
22 https://doi.org/10.1109/tit.2006.887071
23 https://doi.org/10.1109/tit.2013.2248875
24 https://doi.org/10.1109/tvt.2010.2091657
25 https://doi.org/10.1109/tvt.2013.2245692
26 https://doi.org/10.1109/vetecs.2007.260
27 https://doi.org/10.1142/1676
28 https://doi.org/10.1561/0100000001
29 schema:datePublished 2015-12
30 schema:datePublishedReg 2015-12-01
31 schema:description The objective of this paper is to establish a theoretical expression of the link performance in the downlink of a multiple input multiple output (MIMO) cellular network and compare it to the real Long-Term Evolution (LTE ) performance. In order to account for the interference, we prove that the worst additive noise process in the MIMO context is the white Gaussian one. Based on this theoretical result, we build an analytic expression of the link performance in LTE cellular networks with MIMO. We study also the minimum mean square error (MMSE) scheme currently implemented in the field, as well as its improvement MMSE-SIC (successive interference cancellation) known to achieve the MIMO capacity. Comparison to simulation results as well as to measurements in the field shows that the theoretical expression predicts well practical link performance of LTE cellular networks. This theoretical expression of link performance is the basis of a global analytic approach to the evaluation of the quality of service perceived by the users in the long run of their arrivals and departures.
32 schema:genre research_article
33 schema:inLanguage en
34 schema:isAccessibleForFree false
35 schema:isPartOf N90e8593d1a384ec28cdbb5e6a33eea72
36 Nf9a69831167840d39d60b08a7680b79e
37 sg:journal.1120575
38 schema:name Theoretical expression of link performance in OFDM cellular networks with MIMO compared to simulation and measurements
39 schema:pagination 479-490
40 schema:productId N2b0c03a943984434b5ad07ef2c24f4bd
41 Nbba7c44b69964f53806b101bebf3a852
42 Nce43e7cf4b224538aeef6bdfdef406ea
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043571617
44 https://doi.org/10.1007/s12243-015-0469-4
45 schema:sdDatePublished 2019-04-10T20:49
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher N407f59f400144cc8ad174b7586188f01
48 schema:url http://link.springer.com/10.1007%2Fs12243-015-0469-4
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N2b0c03a943984434b5ad07ef2c24f4bd schema:name dimensions_id
53 schema:value pub.1043571617
54 rdf:type schema:PropertyValue
55 N407f59f400144cc8ad174b7586188f01 schema:name Springer Nature - SN SciGraph project
56 rdf:type schema:Organization
57 N46d3cd0112e9468bb8b4a32d675baeed schema:name INRIA and ENS, 23 Avenue d’Italie, 75214, Paris Cedex 13, France
58 rdf:type schema:Organization
59 N61c3c7b9921646c3897266be8c082634 rdf:first sg:person.015464012570.16
60 rdf:rest Ne9eab6ad085e4541a7ac65a7f59d7067
61 N90e8593d1a384ec28cdbb5e6a33eea72 schema:volumeNumber 70
62 rdf:type schema:PublicationVolume
63 Nbba7c44b69964f53806b101bebf3a852 schema:name doi
64 schema:value 10.1007/s12243-015-0469-4
65 rdf:type schema:PropertyValue
66 Nce43e7cf4b224538aeef6bdfdef406ea schema:name readcube_id
67 schema:value cf8c07bb47762b64f36d51b9675d033416b165a9d86aab58811271273da2ac4f
68 rdf:type schema:PropertyValue
69 Ne9eab6ad085e4541a7ac65a7f59d7067 rdf:first sg:person.010012655523.25
70 rdf:rest Nf559932132d84d83b594add2469572cc
71 Nf559932132d84d83b594add2469572cc rdf:first sg:person.013154315266.38
72 rdf:rest rdf:nil
73 Nf9a69831167840d39d60b08a7680b79e schema:issueNumber 11-12
74 rdf:type schema:PublicationIssue
75 anzsrc-for:10 schema:inDefinedTermSet anzsrc-for:
76 schema:name Technology
77 rdf:type schema:DefinedTerm
78 anzsrc-for:1005 schema:inDefinedTermSet anzsrc-for:
79 schema:name Communications Technologies
80 rdf:type schema:DefinedTerm
81 sg:journal.1120575 schema:issn 0003-4347
82 1958-9395
83 schema:name Annals of Telecommunications
84 rdf:type schema:Periodical
85 sg:person.010012655523.25 schema:affiliation https://www.grid.ac/institutes/grid.89485.38
86 schema:familyName Jovanovic
87 schema:givenName Miodrag
88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010012655523.25
89 rdf:type schema:Person
90 sg:person.013154315266.38 schema:affiliation N46d3cd0112e9468bb8b4a32d675baeed
91 schema:familyName Błaszczyszyn
92 schema:givenName Bartłomiej
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013154315266.38
94 rdf:type schema:Person
95 sg:person.015464012570.16 schema:affiliation https://www.grid.ac/institutes/grid.89485.38
96 schema:familyName Karray
97 schema:givenName Mohamed Kadhem
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015464012570.16
99 rdf:type schema:Person
100 sg:pub.10.1007/978-3-540-68402-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028889906
101 https://doi.org/10.1007/978-3-540-68402-2
102 rdf:type schema:CreativeWork
103 sg:pub.10.1007/s11134-009-9144-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018937858
104 https://doi.org/10.1007/s11134-009-9144-7
105 rdf:type schema:CreativeWork
106 sg:pub.10.1023/a:1008889222784 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005549860
107 https://doi.org/10.1023/a:1008889222784
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1002/j.1538-7305.1948.tb01338.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052867467
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1017/cbo9780511807213 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098713051
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1109/18.749007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061100883
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1109/18.749008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061100884
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1109/18.771147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061101004
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1109/18.868478 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061101417
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1109/18.959289 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061101813
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1109/26.634685 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061137792
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1109/26.864159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061138597
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1109/26.983319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061139076
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1109/glocom.2012.6503488 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095101163
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1109/jsac.2003.810294 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061316397
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1109/lcomm.2002.1010868 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061346264
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1109/tit.2002.805084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061649673
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1109/tit.2004.833358 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061650208
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1109/tit.2006.887071 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061651212
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1109/tit.2013.2248875 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061654359
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1109/tvt.2010.2091657 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061820625
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1109/tvt.2013.2245692 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061821679
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1109/vetecs.2007.260 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094907760
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1142/1676 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098885998
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1561/0100000001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068000260
152 rdf:type schema:CreativeWork
153 https://www.grid.ac/institutes/grid.89485.38 schema:alternateName Orange (France)
154 schema:name Orange Labs, 38/40 rue du Général Leclerc, 92794, Issy-Moulineaux, France
155 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...