Medium Access Control Techniques for Massive Machine-Type Communications in Cellular IoT Networks Article Swipe
Carlos A. Astudillo
,
Nelson L. S. da Fonseca
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.19153/cleiej.26.1.2
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.19153/cleiej.26.1.2
A key component of the Internet of things (IoT) ecosystem is wide-area network connectivity, for which cellular network technologies are a promising option through their support of massive machine-type communications (mMTC). However, numerous devices transmitting sporadically small data packets in a highly synchronized way can generate overload on the radio access network. This situation leads to a shortage of resources, especially those associated with the random access procedure for contention, control, and data transmission, causing preamble collision, control message blocking, and data collision. As a result, mMTC traffic can jeopardize the provisioning of quality of service (QoS) to end-devices, decrease the network efficiency, and increase access latency and device energy consumption. This paper proposes medium access control (MAC) techniques for addressing problems related to the support of mMTC in cellularnetworks. First, a solution for allocating control resources with QoS provisioning and access differentiation is provided, including a resource management model, a scheduling algorithm, and a message prioritization policy. Second, a mechanism for reducing data collisions is also proposed. This solution comprises a protocol in which every device with scheduled retransmission uses a probabilistic policy to decide whether to retransmit, a novel method at the device to estimate the number of nodes trying random access, and two different retransmission policies employing this estimation. Results show that the proposals support QoS, decrease access latency, decrease the device energy consumption, and increase resource utilization under massive random access.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.19153/cleiej.26.1.2
- https://clei.org/cleiej/index.php/cleiej/article/download/596/446
- OA Status
- diamond
- Cited By
- 4
- References
- 51
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4378192822
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4378192822Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.19153/cleiej.26.1.2Digital Object Identifier
- Title
-
Medium Access Control Techniques for Massive Machine-Type Communications in Cellular IoT NetworksWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-05-25Full publication date if available
- Authors
-
Carlos A. Astudillo, Nelson L. S. da FonsecaList of authors in order
- Landing page
-
https://doi.org/10.19153/cleiej.26.1.2Publisher landing page
- PDF URL
-
https://clei.org/cleiej/index.php/cleiej/article/download/596/446Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://clei.org/cleiej/index.php/cleiej/article/download/596/446Direct OA link when available
- Concepts
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Computer network, Retransmission, Computer science, Access control, Quality of service, Network packet, Random access, Provisioning, Scheduling (production processes), Energy consumption, Engineering, Electrical engineering, Operations managementTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2024: 3, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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51Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.latency | 106 |
| abstract_inverted_index.massive | 27, 232 |
| abstract_inverted_index.message | 78, 155 |
| abstract_inverted_index.network | 12, 17, 101 |
| abstract_inverted_index.packets | 38 |
| abstract_inverted_index.policy. | 157 |
| abstract_inverted_index.quality | 93 |
| abstract_inverted_index.related | 122 |
| abstract_inverted_index.result, | 85 |
| abstract_inverted_index.service | 95 |
| abstract_inverted_index.support | 25, 125, 217 |
| abstract_inverted_index.through | 23 |
| abstract_inverted_index.traffic | 87 |
| abstract_inverted_index.whether | 186 |
| abstract_inverted_index.However, | 31 |
| abstract_inverted_index.Internet | 5 |
| abstract_inverted_index.cellular | 16 |
| abstract_inverted_index.control, | 70 |
| abstract_inverted_index.decrease | 99, 219, 222 |
| abstract_inverted_index.estimate | 196 |
| abstract_inverted_index.generate | 45 |
| abstract_inverted_index.increase | 104, 228 |
| abstract_inverted_index.latency, | 221 |
| abstract_inverted_index.network. | 51 |
| abstract_inverted_index.numerous | 32 |
| abstract_inverted_index.overload | 46 |
| abstract_inverted_index.policies | 208 |
| abstract_inverted_index.preamble | 75 |
| abstract_inverted_index.problems | 121 |
| abstract_inverted_index.proposes | 113 |
| abstract_inverted_index.protocol | 172 |
| abstract_inverted_index.reducing | 162 |
| abstract_inverted_index.resource | 147, 229 |
| abstract_inverted_index.shortage | 57 |
| abstract_inverted_index.solution | 132, 169 |
| abstract_inverted_index.blocking, | 79 |
| abstract_inverted_index.component | 2 |
| abstract_inverted_index.comprises | 170 |
| abstract_inverted_index.different | 206 |
| abstract_inverted_index.ecosystem | 9 |
| abstract_inverted_index.employing | 209 |
| abstract_inverted_index.including | 145 |
| abstract_inverted_index.mechanism | 160 |
| abstract_inverted_index.procedure | 67 |
| abstract_inverted_index.promising | 21 |
| abstract_inverted_index.proposals | 216 |
| abstract_inverted_index.proposed. | 167 |
| abstract_inverted_index.provided, | 144 |
| abstract_inverted_index.resources | 136 |
| abstract_inverted_index.scheduled | 178 |
| abstract_inverted_index.situation | 53 |
| abstract_inverted_index.wide-area | 11 |
| abstract_inverted_index.addressing | 120 |
| abstract_inverted_index.algorithm, | 152 |
| abstract_inverted_index.allocating | 134 |
| abstract_inverted_index.associated | 62 |
| abstract_inverted_index.collision, | 76 |
| abstract_inverted_index.collision. | 82 |
| abstract_inverted_index.collisions | 164 |
| abstract_inverted_index.especially | 60 |
| abstract_inverted_index.jeopardize | 89 |
| abstract_inverted_index.management | 148 |
| abstract_inverted_index.resources, | 59 |
| abstract_inverted_index.scheduling | 151 |
| abstract_inverted_index.techniques | 118 |
| abstract_inverted_index.contention, | 69 |
| abstract_inverted_index.efficiency, | 102 |
| abstract_inverted_index.estimation. | 211 |
| abstract_inverted_index.retransmit, | 188 |
| abstract_inverted_index.utilization | 230 |
| abstract_inverted_index.consumption, | 226 |
| abstract_inverted_index.consumption. | 110 |
| abstract_inverted_index.end-devices, | 98 |
| abstract_inverted_index.machine-type | 28 |
| abstract_inverted_index.provisioning | 91, 139 |
| abstract_inverted_index.sporadically | 35 |
| abstract_inverted_index.synchronized | 42 |
| abstract_inverted_index.technologies | 18 |
| abstract_inverted_index.transmitting | 34 |
| abstract_inverted_index.access.
 | 234 |
| abstract_inverted_index.connectivity, | 13 |
| abstract_inverted_index.probabilistic | 182 |
| abstract_inverted_index.transmission, | 73 |
| abstract_inverted_index.communications | 29 |
| abstract_inverted_index.prioritization | 156 |
| abstract_inverted_index.retransmission | 179, 207 |
| abstract_inverted_index.differentiation | 142 |
| abstract_inverted_index.cellularnetworks. | 129 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8100000023841858 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.67229972 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |