Group layer MU-MIMO for 5G wireless systems View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Walid A. Al-Hussaibi, Falah H. Ali

ABSTRACT

Multiple-input multiple-output (MIMO) and nonorthogonal multiple access technologies are considered as fundamental components to meet the high spectral efficiency requirements of the forthcoming 5G wireless systems and beyond. In this context, group layer multiuser MIMO (GL-MU-MIMO) scheme has been proposed by the authors with linear group multiuser detection and receive antenna selection (RAS) to increase the number of simultaneously and reliably connected users more than the utilized number of radio frequency chains at the base station. In this paper, we derive the sum rate and capacity region expressions for GL-MU-MIMO uplink Rayleigh fading channels to demonstrate the impact of power allocation on the system performance and user-fairness. In addition, two low complexity RAS algorithms are proposed to maximize the sum rate of designed users’ groups and overall channel capacity. These techniques are utilized for new dynamic user grouping, RAS, and power allocation strategy to optimize the system performance under total received power and minimum user rate constrains. Compared with the generic MU-MIMO, numerical simulations demonstrate valuable tradeoffs between user overloading, complexity, and achieved performance through efficient utilization of groups’ power allocation. The new outcomes of GL-MU-MIMO extends the state-of-the-art towards diverse multi-antenna applications for future communications. More... »

PAGES

525-540

Journal

TITLE

Telecommunication Systems

ISSUE

4

VOLUME

70

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11235-018-00536-6

DOI

http://dx.doi.org/10.1007/s11235-018-00536-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111058248


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": {
          "name": [
            "Department of Electrical Techniques, BTI, Southern Technical University, 42001, Basrah, Iraq"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Al-Hussaibi", 
        "givenName": "Walid A.", 
        "id": "sg:person.014321730175.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014321730175.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Sussex", 
          "id": "https://www.grid.ac/institutes/grid.12082.39", 
          "name": [
            "Communications Research Group, School of Engineering and Informatics, University of Sussex, BN1 9QT, Brighton, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ali", 
        "givenName": "Falah H.", 
        "id": "sg:person.01256700604.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256700604.44"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1109/access.2016.2563462", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000187336"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/access.2016.2551040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008983894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tvt.2015.2477457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020985690"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.simpat.2012.01.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023332819"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/wcm.2564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031025967"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11277-012-0745-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032132113", 
          "https://doi.org/10.1007/s11277-012-0745-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/access.2016.2646183", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061252448"
        ], 
        "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/jsac.2016.2549378", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061318911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/jsac.2016.2605238", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061319004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/lcomm.2016.2559459", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061351813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/lcomm.2016.2606596", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061352091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/lwc.2015.2426709", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061380134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mcom.2012.6316788", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061395724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mcom.2014.6736745", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061396012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mcom.2016.1500743rp", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061396556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tcomm.2006.869778", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061556207"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tcomm.2015.2462350", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061559813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tvt.2008.923672", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061819786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tvt.2008.924973", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061819798"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tvt.2012.2186619", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061821172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/twc.2009.071404", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061826608"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/twc.2010.02.080100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061827129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/twc.2013.040213.120942", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061828641"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/twc.2014.2334325", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061829363"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/twc.2015.2414413", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061829758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/twc.2015.2475746", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061830042"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/twc.2015.2488634", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061830097"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/twc.2016.2518182", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061830242"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/twc.2016.2599521", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061830527"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mcom.2017.1500657cm", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083717938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11276-017-1467-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083903159", 
          "https://doi.org/10.1007/s11276-017-1467-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11276-017-1467-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083903159", 
          "https://doi.org/10.1007/s11276-017-1467-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mcom.2017.1601107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086006794"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/vtcspring.2015.7145629", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093851848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/glocom.2015.7417765", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1097221053"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/glocom.2015.7417765", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1097221053"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9780511807213", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098713051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/comst.2018.2835558", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103957727"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tvt.2018.2837041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103998103"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mvt.2018.2811912", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104148848"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04", 
    "datePublishedReg": "2019-04-01", 
    "description": "Multiple-input multiple-output (MIMO) and nonorthogonal multiple access technologies are considered as fundamental components to meet the high spectral efficiency requirements of the forthcoming 5G wireless systems and beyond. In this context, group layer multiuser MIMO (GL-MU-MIMO) scheme has been proposed by the authors with linear group multiuser detection and receive antenna selection (RAS) to increase the number of simultaneously and reliably connected users more than the utilized number of radio frequency chains at the base station. In this paper, we derive the sum rate and capacity region expressions for GL-MU-MIMO uplink Rayleigh fading channels to demonstrate the impact of power allocation on the system performance and user-fairness. In addition, two low complexity RAS algorithms are proposed to maximize the sum rate of designed users\u2019 groups and overall channel capacity. These techniques are utilized for new dynamic user grouping, RAS, and power allocation strategy to optimize the system performance under total received power and minimum user rate constrains. Compared with the generic MU-MIMO, numerical simulations demonstrate valuable tradeoffs between user overloading, complexity, and achieved performance through efficient utilization of groups\u2019 power allocation. The new outcomes of GL-MU-MIMO extends the state-of-the-art towards diverse multi-antenna applications for future communications.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11235-018-00536-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1049187", 
        "issn": [
          "1018-4864", 
          "1572-9451"
        ], 
        "name": "Telecommunication Systems", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "70"
      }
    ], 
    "name": "Group layer MU-MIMO for 5G wireless systems", 
    "pagination": "525-540", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e8b5fea33b0e72eb2f88cd4fd9d4d6c490f9bbb0679a266dead253095155d350"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11235-018-00536-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111058248"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11235-018-00536-6", 
      "https://app.dimensions.ai/details/publication/pub.1111058248"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:06", 
    "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/v90/0000000366_0000000366/records_112076_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11235-018-00536-6"
  }
]
 

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/s11235-018-00536-6'

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/s11235-018-00536-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11235-018-00536-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11235-018-00536-6'


 

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

189 TRIPLES      21 PREDICATES      66 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11235-018-00536-6 schema:about anzsrc-for:10
2 anzsrc-for:1005
3 schema:author N5613d587a7f64c4f9a39aaddbdf7a3d0
4 schema:citation sg:pub.10.1007/s11276-017-1467-4
5 sg:pub.10.1007/s11277-012-0745-9
6 https://doi.org/10.1002/wcm.2564
7 https://doi.org/10.1016/j.simpat.2012.01.009
8 https://doi.org/10.1017/cbo9780511807213
9 https://doi.org/10.1109/access.2016.2551040
10 https://doi.org/10.1109/access.2016.2563462
11 https://doi.org/10.1109/access.2016.2646183
12 https://doi.org/10.1109/comst.2018.2835558
13 https://doi.org/10.1109/glocom.2015.7417765
14 https://doi.org/10.1109/jsac.2003.810294
15 https://doi.org/10.1109/jsac.2016.2549378
16 https://doi.org/10.1109/jsac.2016.2605238
17 https://doi.org/10.1109/lcomm.2016.2559459
18 https://doi.org/10.1109/lcomm.2016.2606596
19 https://doi.org/10.1109/lwc.2015.2426709
20 https://doi.org/10.1109/mcom.2012.6316788
21 https://doi.org/10.1109/mcom.2014.6736745
22 https://doi.org/10.1109/mcom.2016.1500743rp
23 https://doi.org/10.1109/mcom.2017.1500657cm
24 https://doi.org/10.1109/mcom.2017.1601107
25 https://doi.org/10.1109/mvt.2018.2811912
26 https://doi.org/10.1109/tcomm.2006.869778
27 https://doi.org/10.1109/tcomm.2015.2462350
28 https://doi.org/10.1109/tvt.2008.923672
29 https://doi.org/10.1109/tvt.2008.924973
30 https://doi.org/10.1109/tvt.2012.2186619
31 https://doi.org/10.1109/tvt.2015.2477457
32 https://doi.org/10.1109/tvt.2018.2837041
33 https://doi.org/10.1109/twc.2009.071404
34 https://doi.org/10.1109/twc.2010.02.080100
35 https://doi.org/10.1109/twc.2013.040213.120942
36 https://doi.org/10.1109/twc.2014.2334325
37 https://doi.org/10.1109/twc.2015.2414413
38 https://doi.org/10.1109/twc.2015.2475746
39 https://doi.org/10.1109/twc.2015.2488634
40 https://doi.org/10.1109/twc.2016.2518182
41 https://doi.org/10.1109/twc.2016.2599521
42 https://doi.org/10.1109/vtcspring.2015.7145629
43 schema:datePublished 2019-04
44 schema:datePublishedReg 2019-04-01
45 schema:description Multiple-input multiple-output (MIMO) and nonorthogonal multiple access technologies are considered as fundamental components to meet the high spectral efficiency requirements of the forthcoming 5G wireless systems and beyond. In this context, group layer multiuser MIMO (GL-MU-MIMO) scheme has been proposed by the authors with linear group multiuser detection and receive antenna selection (RAS) to increase the number of simultaneously and reliably connected users more than the utilized number of radio frequency chains at the base station. In this paper, we derive the sum rate and capacity region expressions for GL-MU-MIMO uplink Rayleigh fading channels to demonstrate the impact of power allocation on the system performance and user-fairness. In addition, two low complexity RAS algorithms are proposed to maximize the sum rate of designed users’ groups and overall channel capacity. These techniques are utilized for new dynamic user grouping, RAS, and power allocation strategy to optimize the system performance under total received power and minimum user rate constrains. Compared with the generic MU-MIMO, numerical simulations demonstrate valuable tradeoffs between user overloading, complexity, and achieved performance through efficient utilization of groups’ power allocation. The new outcomes of GL-MU-MIMO extends the state-of-the-art towards diverse multi-antenna applications for future communications.
46 schema:genre research_article
47 schema:inLanguage en
48 schema:isAccessibleForFree false
49 schema:isPartOf N142b6e4aa4e54716a1ad13ec6edca0c5
50 N8c434d3ea8464cb185ead936b0415673
51 sg:journal.1049187
52 schema:name Group layer MU-MIMO for 5G wireless systems
53 schema:pagination 525-540
54 schema:productId N5fad41d544204ce58c0989ff6a83e0d0
55 Nb24ee02e0ca04aadbb7d15ad3c6dda1f
56 Nc452a4992bee45a8a1fefc11a95052af
57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111058248
58 https://doi.org/10.1007/s11235-018-00536-6
59 schema:sdDatePublished 2019-04-11T13:06
60 schema:sdLicense https://scigraph.springernature.com/explorer/license/
61 schema:sdPublisher N3e906c458b894b9a823629628ce5ce65
62 schema:url https://link.springer.com/10.1007%2Fs11235-018-00536-6
63 sgo:license sg:explorer/license/
64 sgo:sdDataset articles
65 rdf:type schema:ScholarlyArticle
66 N107b60662e8643a4ad4f43ee31c7a55e schema:name Department of Electrical Techniques, BTI, Southern Technical University, 42001, Basrah, Iraq
67 rdf:type schema:Organization
68 N142b6e4aa4e54716a1ad13ec6edca0c5 schema:issueNumber 4
69 rdf:type schema:PublicationIssue
70 N3e906c458b894b9a823629628ce5ce65 schema:name Springer Nature - SN SciGraph project
71 rdf:type schema:Organization
72 N5613d587a7f64c4f9a39aaddbdf7a3d0 rdf:first sg:person.014321730175.91
73 rdf:rest Nceea985c3a484b98bf040b1fa4c7d98c
74 N5fad41d544204ce58c0989ff6a83e0d0 schema:name doi
75 schema:value 10.1007/s11235-018-00536-6
76 rdf:type schema:PropertyValue
77 N8c434d3ea8464cb185ead936b0415673 schema:volumeNumber 70
78 rdf:type schema:PublicationVolume
79 Nb24ee02e0ca04aadbb7d15ad3c6dda1f schema:name readcube_id
80 schema:value e8b5fea33b0e72eb2f88cd4fd9d4d6c490f9bbb0679a266dead253095155d350
81 rdf:type schema:PropertyValue
82 Nc452a4992bee45a8a1fefc11a95052af schema:name dimensions_id
83 schema:value pub.1111058248
84 rdf:type schema:PropertyValue
85 Nceea985c3a484b98bf040b1fa4c7d98c rdf:first sg:person.01256700604.44
86 rdf:rest rdf:nil
87 anzsrc-for:10 schema:inDefinedTermSet anzsrc-for:
88 schema:name Technology
89 rdf:type schema:DefinedTerm
90 anzsrc-for:1005 schema:inDefinedTermSet anzsrc-for:
91 schema:name Communications Technologies
92 rdf:type schema:DefinedTerm
93 sg:journal.1049187 schema:issn 1018-4864
94 1572-9451
95 schema:name Telecommunication Systems
96 rdf:type schema:Periodical
97 sg:person.01256700604.44 schema:affiliation https://www.grid.ac/institutes/grid.12082.39
98 schema:familyName Ali
99 schema:givenName Falah H.
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256700604.44
101 rdf:type schema:Person
102 sg:person.014321730175.91 schema:affiliation N107b60662e8643a4ad4f43ee31c7a55e
103 schema:familyName Al-Hussaibi
104 schema:givenName Walid A.
105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014321730175.91
106 rdf:type schema:Person
107 sg:pub.10.1007/s11276-017-1467-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083903159
108 https://doi.org/10.1007/s11276-017-1467-4
109 rdf:type schema:CreativeWork
110 sg:pub.10.1007/s11277-012-0745-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032132113
111 https://doi.org/10.1007/s11277-012-0745-9
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1002/wcm.2564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031025967
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/j.simpat.2012.01.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023332819
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1017/cbo9780511807213 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098713051
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1109/access.2016.2551040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008983894
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1109/access.2016.2563462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000187336
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1109/access.2016.2646183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061252448
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1109/comst.2018.2835558 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103957727
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1109/glocom.2015.7417765 schema:sameAs https://app.dimensions.ai/details/publication/pub.1097221053
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1109/jsac.2003.810294 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061316397
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1109/jsac.2016.2549378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061318911
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1109/jsac.2016.2605238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061319004
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1109/lcomm.2016.2559459 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061351813
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1109/lcomm.2016.2606596 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061352091
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1109/lwc.2015.2426709 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061380134
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1109/mcom.2012.6316788 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061395724
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1109/mcom.2014.6736745 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061396012
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1109/mcom.2016.1500743rp schema:sameAs https://app.dimensions.ai/details/publication/pub.1061396556
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1109/mcom.2017.1500657cm schema:sameAs https://app.dimensions.ai/details/publication/pub.1083717938
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1109/mcom.2017.1601107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086006794
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1109/mvt.2018.2811912 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104148848
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1109/tcomm.2006.869778 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061556207
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1109/tcomm.2015.2462350 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061559813
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1109/tvt.2008.923672 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061819786
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1109/tvt.2008.924973 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061819798
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1109/tvt.2012.2186619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061821172
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1109/tvt.2015.2477457 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020985690
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1109/tvt.2018.2837041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103998103
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1109/twc.2009.071404 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061826608
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1109/twc.2010.02.080100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061827129
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1109/twc.2013.040213.120942 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061828641
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1109/twc.2014.2334325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061829363
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1109/twc.2015.2414413 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061829758
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1109/twc.2015.2475746 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061830042
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1109/twc.2015.2488634 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061830097
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1109/twc.2016.2518182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061830242
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1109/twc.2016.2599521 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061830527
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1109/vtcspring.2015.7145629 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093851848
186 rdf:type schema:CreativeWork
187 https://www.grid.ac/institutes/grid.12082.39 schema:alternateName University of Sussex
188 schema:name Communications Research Group, School of Engineering and Informatics, University of Sussex, BN1 9QT, Brighton, UK
189 rdf:type schema:Organization
 




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


...