Machine learning-enabled dimensioning of slicing-based private mobile communication networks:
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
Düren
Shaker Verlag
2024
|
| Edition: | 1. Auflage |
| Series: | Dortmunder Beiträge zu Kommunikationsnetzen und -systemen
Band 23 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | xvii, 144 Seiten Illustrationen, Diagramme, Karten 21 cm x 14.8 cm, 243 g |
| ISBN: | 9783844095487 3844095489 |
Staff View
MARC
| LEADER | 00000nam a22000008cb4500 | ||
|---|---|---|---|
| 001 | BV049804276 | ||
| 003 | DE-604 | ||
| 005 | 20241002 | ||
| 007 | t| | ||
| 008 | 240731s2024 gw a||| m||| 00||| eng d | ||
| 015 | |a 24,N23 |2 dnb | ||
| 016 | 7 | |a 1331203503 |2 DE-101 | |
| 020 | |a 9783844095487 |9 978-3-8440-9548-7 | ||
| 020 | |a 3844095489 |9 3-8440-9548-9 | ||
| 035 | |a (OCoLC)1466924170 | ||
| 035 | |a (DE-599)DNB1331203503 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a gw |c XA-DE-NW | ||
| 049 | |a DE-83 | ||
| 084 | |a ZN 6560 |0 (DE-625)157572: |2 rvk | ||
| 084 | |8 1\p |a 004 |2 23sdnb | ||
| 100 | 1 | |a Bektas, Caner |d 1991- |e Verfasser |0 (DE-588)1335962115 |4 aut | |
| 245 | 1 | 0 | |a Machine learning-enabled dimensioning of slicing-based private mobile communication networks |c Caner Bektas |
| 264 | 1 | |a Düren |b Shaker Verlag |c 2024 | |
| 300 | |a xvii, 144 Seiten |b Illustrationen, Diagramme, Karten |c 21 cm x 14.8 cm, 243 g | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Dortmunder Beiträge zu Kommunikationsnetzen und -systemen |v Band 23 | |
| 502 | |b Dissertation |c Technische Universität Dortmund |d 2024 | ||
| 650 | 0 | 7 | |a 5G |0 (DE-588)1188755676 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Corporate Network |0 (DE-588)4402944-5 |2 gnd |9 rswk-swf |
| 653 | |a 5G Network Slicing | ||
| 653 | |a Private 5G Networks | ||
| 653 | |a Automated Network Planning | ||
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 689 | 0 | 0 | |a 5G |0 (DE-588)1188755676 |D s |
| 689 | 0 | 1 | |a Corporate Network |0 (DE-588)4402944-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 830 | 0 | |a Dortmunder Beiträge zu Kommunikationsnetzen und -systemen |v Band 23 |w (DE-604)BV041418989 |9 23 | |
| 856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035144823&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 883 | 1 | |8 1\p |a vlb |d 20240530 |q DE-101 |u https://d-nb.info/provenance/plan#vlb | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035144823 | |
Record in the Search Index
| _version_ | 1817696469468053504 |
|---|---|
| adam_text |
CONTENTS
ACKNOWLEDGMENT
III
ABSTRACT
V
KURZFASSUNG
VII
LIST
OF
ABBREVIATIONS
XIII
1
INTRODUCTION
1
1.1
MOTIVATION
FOR
NETWORK
SLICING-BASED
(PRIVATE)
5G
AND
BEYOND
COMMUNICATION
NETWORKS
.
1
1.2
OVERVIEW
OF
RESEARCH
TOPICS,
METHODOLOGIES
AND
STRUCTURE
.
7
2
RELATED
WORK
REGARDING
PRIVATE
5G
NETWORKS,
5G
NETWORK
SLICING,
AND
AUTOMATED
NETWORK
PLANNING
11
2.1
RECENT
DEVELOPMENTS
CONCERNING
PRIVATE
5G
NETWORKS
.
11
2.1.1
GENERAL
OVERVIEWS
AND
SURVEYS
.
12
2.1.2
EMPIRICAL
RESULTS
AND
ANALYSES
.
12
2.1.3
SUMMARY
.
14
2.2
RELATED
WORK
IN
NETWORK
SLICING
FOR
THE
RADIO
ACCESS
NETWORK
.
15
2.2.1
RAN
SLICING
WITHOUT
MACHINE
LEARNING
.
16
2.2.2
MACHINE
LEARNING-BASED
RAN
SLICING
.
17
2.2.3
SUMMARY
.
19
2.3
RELATED
WORK
IN
AUTOMATED
NETWORK
PLANNING
.
22
2.3.1
TRADITIONAL
AUTOMATED
NETWORK
PLANNING
.
22
2.3.2
AUTOMATED
NETWORK
PLANNING
BASED
ON
MACHINE
LEARNING
23
2.3.3
SUMMARY
.
24
3
DEVELOPMENT
AND
EVALUATION
OF
DYNAMIC
RADIO
NETWORK
SLICING
BASED
ON
EXPERIMENTAL
AND
SIMULATIVE
APPROACHES
27
3.1
FIRST
EVALUATION
OF
NETWORK
SLICING
USING
4G
CONCEPTS
.
27
3.1.1
ARCHITECTURE
OF
THE
DEVELOPED
4G-BASED
END-TO-END
NET
WORK
SLICING
SYSTEM
.
28
3.1.2
TESTING
ENVIRONMENT
AND
EVALUATION
SCENARIO
OF
THE
DE
VELOPED
4G-BASED
END-TO-END
NETWORK
SLICING
SYSTEM
.
.
31
3.1.3
EVALUATION
RESULTS
OF
THE
DEVELOPED
4G-BASED
END-TO-END
NETWORK
SLICING
SYSTEM
.
34
CONTENTS
3.1.4
SUMMARY,
CONCLUSION,
AND
NEXT
STEPS
.
37
3.2
DEVELOPMENT
AND
EVALUATION
OF
A
FIRST
SDR-BASED
RADIO
ACCESS
NETWORK
SLICING
SCHEDULER
.
38
3.2.1
DESIGN
AND
DEVELOPMENT
OF
THE
SDR-BASED
RAN
SLICING
SCHEDULER
.
38
3.2.2
LABORATORY
SETUP
BASED
ON
SDR
AND
SDN
.
40
3.2.3
EMPIRICAL
EVALUATION
OF
THE
DEVELOPED
RAN
SLICING
SCHEDULER
41
3.2.4
SUMMARY,
CONCLUSION,
AND
NEXT
STEPS
.
47
3.3
DESIGN
AND
SIMULATIVE
EVALUATION
OF
A
MACHINE
LEARNING-BASED
SCHEDULER
FOR
RELIABLE
5G
NETWORK
SLICING
.
48
3.3.1
MOTIVATION
FOR
DEVELOPING
A
5G
NETWORK
SLICING
SCHEDULER
BASED
ON
MACHINE
LEARNING
.
48
3.3.2
DESIGN
OF
THE
DEVELOPED
5G
RESOURCE
GRID
SIMULATION
(5G-RGS)
FOR
SCHEDULER
PROTOTYPING
.
52
3.3.3
TECHNICAL
DESIGN
AND
IMPLEMENTATION
OF
THE
SLICE-AWARE
MACHINE
LEARNING-BASED
ULTRA-RELIABLE
SCHEDULING
(SAMUS)
PROTOTYPE
.
54
3.3.4
EVALUATION
OF
THE
SAMUS
PROTOTYPE
BASED
ON
REALISTIC
SCENARIOS
AND
DATASETS
.
56
3.3.5
SUMMARY,
CONCLUSION,
AND
NEXT
STEPS
.
65
4
DEVELOPMENT
AND
EVALUATION
OF
AUTOMATED
NETWORK
PLANNING
FOR
NETWORK
SLICING-BASED
COMMUNICATION
NETWORKS
67
4.1
BENEFITS
OF
DEMAND-BASED
PLANNING
AND
CONFIGURATION
OF
PRIVATE
5
G
NETWORKS
.
68
4.1.1
MOTIVATION
AND
BASIC
ARCHITECTURE
OF
AUTOMATIC
DEMAND
BASED
NETWORK
PLANNING
AND
CONFIGURATION
.
68
4.1.2
DESCRIPTION
OF
THE
DEVELOPED
EXPERIMENT
SHOWCASE
VIDEO
69
4.1.3
THEORETICAL
UNDERPINNINGS
AND
OUTCOMES
OF
THE
SIMULATIVE
VALIDATION
.
75
4.1.4
VISION
FOR
COMBINED
PRIVATE
5G
NETWORK
AND
EVENT
OPERATION
79
4.1.5
SUMMARY,
CONCLUSION,
AND
NEXT
STEPS
.
81
4.2
RAPID
AND
AUTOMATED
NETWORK
PLANNING
OF
PRIVATE
5G
NETWORKS
BASED
ON
UNSUPERVISED
MACHINE
LEARNING
.
82
4.2.1
DESCRIPTION
OF
THE
DEVELOPED
METHOD
FOR
RAPID
AUTOMATED
NETWORK
PLANNING
.
82
4.2.2
DETAILED
DESCRIPTION
OF
CLUSTERING
ANALYSIS
FOR
AUTOMATED
NETWORK
PLANNING
.
89
4.2.3
IMPORTANCE
OF
CLUSTERING
OR
UNSUPERVISED
LEARNING
FOR
AUTOMATED
NETWORK
PLANNING
.
92
4.2.4
EVALUATION
OF
THE
AUTOMATED
NETWORK
PLANNING
METHOD
.
94
4.2.5
SUMMARY,
CONCLUSION,
AND
NEXT
STEPS
.
101
CONTENTS
4.3
AUTOMATED
COVERAGE
AND
CAPACITY
PLANNING
FOR
NETWORK
SLICING
BASED
PRIVATE
5G
NETWORKS
.
102
4.3.1
WHY
NOVEL
CONCEPTS
IN
CAPACITY
PLANNING
ARE
NEEDED
FOR
FUTURE
MOBILE
COMMUNICATION
NETWORKS
.
103
4.3.2
DATA
PREDICTABILITY
IN
THE
CONTEXT
OF
CAPACITY
PLANNING
.
105
4.3.3
OVERALL
ARCHITECTURE
OF
THE
DEVELOPED
COVERAGE
AND
CA
PACITY
PLANNING
FRAMEWORK
.
107
4.3.4
EVALUATION
OF
THE
IMPACT
OF
DATA
UNCERTAINTY
IN
ML-BASED
NETWORK
SLICING
ON
NETWORK
PLANNING
.
112
4.3.5
SUMMARY,
CONCLUSION,
AND
NEXT
STEPS
.
117
4.4
PERFORMANCE
COMPARISON
OF
THE
DEVELOPED
NETWORK
PLANNING
METHOD
WITH
THE
OPTIMAL
SOLUTION
(EXHAUSTIVE
SEARCH)
.
118
4.4.1
SUMMARY
AND
CONCLUSION
.
122
5
CONCLUSION
AND
FUTURE
WORK
125
5.1
CLOSING
SUMMARY
.
125
5.2
DERIVED
POTENTIALS
AND
FUTURE
WORK
.
128
BIBLIOGRAPHY
131
SCIENTIFIC
ACTIVITY
REPORT
141 |
| any_adam_object | 1 |
| author | Bektas, Caner 1991- |
| author_GND | (DE-588)1335962115 |
| author_facet | Bektas, Caner 1991- |
| author_role | aut |
| author_sort | Bektas, Caner 1991- |
| author_variant | c b cb |
| building | Verbundindex |
| bvnumber | BV049804276 |
| classification_rvk | ZN 6560 |
| ctrlnum | (OCoLC)1466924170 (DE-599)DNB1331203503 |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| edition | 1. Auflage |
| format | Thesis Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a22000008cb4500</leader><controlfield tag="001">BV049804276</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20241002</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">240731s2024 gw a||| m||| 00||| eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">24,N23</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">1331203503</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783844095487</subfield><subfield code="9">978-3-8440-9548-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3844095489</subfield><subfield code="9">3-8440-9548-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1466924170</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB1331203503</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">XA-DE-NW</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-83</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ZN 6560</subfield><subfield code="0">(DE-625)157572:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="8">1\p</subfield><subfield code="a">004</subfield><subfield code="2">23sdnb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bektas, Caner</subfield><subfield code="d">1991-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1335962115</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine learning-enabled dimensioning of slicing-based private mobile communication networks</subfield><subfield code="c">Caner Bektas</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Düren</subfield><subfield code="b">Shaker Verlag</subfield><subfield code="c">2024</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xvii, 144 Seiten</subfield><subfield code="b">Illustrationen, Diagramme, Karten</subfield><subfield code="c">21 cm x 14.8 cm, 243 g</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Dortmunder Beiträge zu Kommunikationsnetzen und -systemen</subfield><subfield code="v">Band 23</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="b">Dissertation</subfield><subfield code="c">Technische Universität Dortmund</subfield><subfield code="d">2024</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">5G</subfield><subfield code="0">(DE-588)1188755676</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Corporate Network</subfield><subfield code="0">(DE-588)4402944-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">5G Network Slicing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Private 5G Networks</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Automated Network Planning</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">5G</subfield><subfield code="0">(DE-588)1188755676</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Corporate Network</subfield><subfield code="0">(DE-588)4402944-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Dortmunder Beiträge zu Kommunikationsnetzen und -systemen</subfield><subfield code="v">Band 23</subfield><subfield code="w">(DE-604)BV041418989</subfield><subfield code="9">23</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">DNB Datenaustausch</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035144823&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">vlb</subfield><subfield code="d">20240530</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#vlb</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035144823</subfield></datafield></record></collection> |
| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV049804276 |
| illustrated | Illustrated |
| indexdate | 2024-12-06T13:07:17Z |
| institution | BVB |
| institution_GND | (DE-588)1064118135 |
| isbn | 9783844095487 3844095489 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035144823 |
| oclc_num | 1466924170 |
| open_access_boolean | |
| owner | DE-83 |
| owner_facet | DE-83 |
| physical | xvii, 144 Seiten Illustrationen, Diagramme, Karten 21 cm x 14.8 cm, 243 g |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Shaker Verlag |
| record_format | marc |
| series | Dortmunder Beiträge zu Kommunikationsnetzen und -systemen |
| series2 | Dortmunder Beiträge zu Kommunikationsnetzen und -systemen |
| spelling | Bektas, Caner 1991- Verfasser (DE-588)1335962115 aut Machine learning-enabled dimensioning of slicing-based private mobile communication networks Caner Bektas Düren Shaker Verlag 2024 xvii, 144 Seiten Illustrationen, Diagramme, Karten 21 cm x 14.8 cm, 243 g txt rdacontent n rdamedia nc rdacarrier Dortmunder Beiträge zu Kommunikationsnetzen und -systemen Band 23 Dissertation Technische Universität Dortmund 2024 5G (DE-588)1188755676 gnd rswk-swf Corporate Network (DE-588)4402944-5 gnd rswk-swf 5G Network Slicing Private 5G Networks Automated Network Planning (DE-588)4113937-9 Hochschulschrift gnd-content 5G (DE-588)1188755676 s Corporate Network (DE-588)4402944-5 s DE-604 Dortmunder Beiträge zu Kommunikationsnetzen und -systemen Band 23 (DE-604)BV041418989 23 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035144823&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p vlb 20240530 DE-101 https://d-nb.info/provenance/plan#vlb |
| spellingShingle | Bektas, Caner 1991- Machine learning-enabled dimensioning of slicing-based private mobile communication networks Dortmunder Beiträge zu Kommunikationsnetzen und -systemen 5G (DE-588)1188755676 gnd Corporate Network (DE-588)4402944-5 gnd |
| subject_GND | (DE-588)1188755676 (DE-588)4402944-5 (DE-588)4113937-9 |
| title | Machine learning-enabled dimensioning of slicing-based private mobile communication networks |
| title_auth | Machine learning-enabled dimensioning of slicing-based private mobile communication networks |
| title_exact_search | Machine learning-enabled dimensioning of slicing-based private mobile communication networks |
| title_full | Machine learning-enabled dimensioning of slicing-based private mobile communication networks Caner Bektas |
| title_fullStr | Machine learning-enabled dimensioning of slicing-based private mobile communication networks Caner Bektas |
| title_full_unstemmed | Machine learning-enabled dimensioning of slicing-based private mobile communication networks Caner Bektas |
| title_short | Machine learning-enabled dimensioning of slicing-based private mobile communication networks |
| title_sort | machine learning enabled dimensioning of slicing based private mobile communication networks |
| topic | 5G (DE-588)1188755676 gnd Corporate Network (DE-588)4402944-5 gnd |
| topic_facet | 5G Corporate Network Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035144823&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV041418989 |
| work_keys_str_mv | AT bektascaner machinelearningenableddimensioningofslicingbasedprivatemobilecommunicationnetworks |