Modified MCP-Based Modeling and Performance Analysis of 3-D Cellular Networks
<p dir="ltr">In this paper, we introduce a new stochastic geometry model, the ‘Modified Matérn Cluster Process (MMCP)’, to provide an accurate representation of cell locations in a network. This model not only incorporates realistic constraints but also takes into account the cluster...
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| مؤلفون آخرون: | , , , |
| منشور في: |
2025
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| _version_ | 1864513533243293696 |
|---|---|
| author | Dorsaf Ghozlani (22502816) |
| author2 | Aymen Omri (19418755) Seifeddine Bouallegue (21364763) Hela Chamkhia (21393911) Ridha Bouallegue (19769292) |
| author2_role | author author author author |
| author_facet | Dorsaf Ghozlani (22502816) Aymen Omri (19418755) Seifeddine Bouallegue (21364763) Hela Chamkhia (21393911) Ridha Bouallegue (19769292) |
| author_role | author |
| dc.creator.none.fl_str_mv | Dorsaf Ghozlani (22502816) Aymen Omri (19418755) Seifeddine Bouallegue (21364763) Hela Chamkhia (21393911) Ridha Bouallegue (19769292) |
| dc.date.none.fl_str_mv | 2025-05-12T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2025.3569202 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Modified_MCP-Based_Modeling_and_Performance_Analysis_of_3-D_Cellular_Networks/30528800 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Communications engineering Information and computing sciences Applied computing Artificial intelligence Computer vision and multimedia computation 3-D HetNets Interference management Successful transmission probability Stochastic geometry Performance analysis |
| dc.title.none.fl_str_mv | Modified MCP-Based Modeling and Performance Analysis of 3-D Cellular Networks |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">In this paper, we introduce a new stochastic geometry model, the ‘Modified Matérn Cluster Process (MMCP)’, to provide an accurate representation of cell locations in a network. This model not only incorporates realistic constraints but also takes into account the clustered distribution of user equipment (UE). Specifically, UEs are assumed to cluster around small-cell base stations (SCBs), which adhere to a minimum separation distance and are organized according to a Matérn Hard-Core Process (MHCP) II, ensuring efficient spatial distribution and reduced interference. To further enhance network performance, we propose a novel transmission scheme specifically designed to mitigate interference. This innovative approach results in the development of a tractable analytical framework, which includes a detailed assessment of the non-interference probability, thereby optimizing resource allocation strategies across the network. Within this framework, we derive expressions for the successful transmission probabilities for both uplink and downlink communications. Additionally, we explore the average ergodic capacity, a crucial metric for evaluating the overall efficacy of the three-dimensional (3-D) MMCP. These derivations enable a deeper understanding of the model’s impact on network performance. To validate our theoretical findings, we conduct extensive Monte Carlo simulations, which demonstrate the accuracy of our proposed model. Our results highlight the critical importance of accounting for user distribution when evaluating dynamic system performance.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" rel="noreferrer" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2025.3569202" target="_blank">https://dx.doi.org/10.1109/access.2025.3569202</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_d0feb124413b9c6cb8c8ec1d88982fa5 |
| identifier_str_mv | 10.1109/access.2025.3569202 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/30528800 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Modified MCP-Based Modeling and Performance Analysis of 3-D Cellular NetworksDorsaf Ghozlani (22502816)Aymen Omri (19418755)Seifeddine Bouallegue (21364763)Hela Chamkhia (21393911)Ridha Bouallegue (19769292)EngineeringCommunications engineeringInformation and computing sciencesApplied computingArtificial intelligenceComputer vision and multimedia computation3-D HetNetsInterference managementSuccessful transmission probabilityStochastic geometryPerformance analysis<p dir="ltr">In this paper, we introduce a new stochastic geometry model, the ‘Modified Matérn Cluster Process (MMCP)’, to provide an accurate representation of cell locations in a network. This model not only incorporates realistic constraints but also takes into account the clustered distribution of user equipment (UE). Specifically, UEs are assumed to cluster around small-cell base stations (SCBs), which adhere to a minimum separation distance and are organized according to a Matérn Hard-Core Process (MHCP) II, ensuring efficient spatial distribution and reduced interference. To further enhance network performance, we propose a novel transmission scheme specifically designed to mitigate interference. This innovative approach results in the development of a tractable analytical framework, which includes a detailed assessment of the non-interference probability, thereby optimizing resource allocation strategies across the network. Within this framework, we derive expressions for the successful transmission probabilities for both uplink and downlink communications. Additionally, we explore the average ergodic capacity, a crucial metric for evaluating the overall efficacy of the three-dimensional (3-D) MMCP. These derivations enable a deeper understanding of the model’s impact on network performance. To validate our theoretical findings, we conduct extensive Monte Carlo simulations, which demonstrate the accuracy of our proposed model. Our results highlight the critical importance of accounting for user distribution when evaluating dynamic system performance.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" rel="noreferrer" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2025.3569202" target="_blank">https://dx.doi.org/10.1109/access.2025.3569202</a></p>2025-05-12T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2025.3569202https://figshare.com/articles/journal_contribution/Modified_MCP-Based_Modeling_and_Performance_Analysis_of_3-D_Cellular_Networks/30528800CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/305288002025-05-12T03:00:00Z |
| spellingShingle | Modified MCP-Based Modeling and Performance Analysis of 3-D Cellular Networks Dorsaf Ghozlani (22502816) Engineering Communications engineering Information and computing sciences Applied computing Artificial intelligence Computer vision and multimedia computation 3-D HetNets Interference management Successful transmission probability Stochastic geometry Performance analysis |
| status_str | publishedVersion |
| title | Modified MCP-Based Modeling and Performance Analysis of 3-D Cellular Networks |
| title_full | Modified MCP-Based Modeling and Performance Analysis of 3-D Cellular Networks |
| title_fullStr | Modified MCP-Based Modeling and Performance Analysis of 3-D Cellular Networks |
| title_full_unstemmed | Modified MCP-Based Modeling and Performance Analysis of 3-D Cellular Networks |
| title_short | Modified MCP-Based Modeling and Performance Analysis of 3-D Cellular Networks |
| title_sort | Modified MCP-Based Modeling and Performance Analysis of 3-D Cellular Networks |
| topic | Engineering Communications engineering Information and computing sciences Applied computing Artificial intelligence Computer vision and multimedia computation 3-D HetNets Interference management Successful transmission probability Stochastic geometry Performance analysis |