Finding Friendly Neighborhood: Optimal D2D Relaying in mmWave IoT Networks
Device-to-Device (D2D) relaying helps improve the coverage range and throughput of the millimeter Wave (mmWave) networks. This work focuses on improving the uplink throughput in a single-cell mmWave-based Internet-of-Things (IoT) network. The key factors involve the placement of relays and neighbor...
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2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10985741/ |
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| author | J. Vamshi Vijay Krishna V. Mahendran Venkataramana Badarla |
| author_facet | J. Vamshi Vijay Krishna V. Mahendran Venkataramana Badarla |
| author_sort | J. Vamshi Vijay Krishna |
| collection | DOAJ |
| description | Device-to-Device (D2D) relaying helps improve the coverage range and throughput of the millimeter Wave (mmWave) networks. This work focuses on improving the uplink throughput in a single-cell mmWave-based Internet-of-Things (IoT) network. The key factors involve the placement of relays and neighbor selection (NS) (<inline-formula> <tex-math notation="LaTeX">$, i.e$ </tex-math></inline-formula>., the process of selecting source IoTs within the relay node’s coverage range). The problem is formulated using model-based bandits, and the associated structural results are analyzed. Considering the resource-constrained nature of IoTs, we have developed a simple rule-based NS as an alternative to computationally intensive learning-based neighbor-selection processes from state of the art. By utilizing the rule-based NS, we show that there exists a conducive coverage range (called a friendly neighborhood) for the relay node to choose the neighbors. Accordingly, a geometry-based relay placement mechanism is proposed to maximize the uplink throughput. The optimality of the proposed solutions is shown analytically, and their performance concerning the state of the art is evaluated using extensive simulation. |
| format | Article |
| id | doaj-art-a5a81abfbe15496eae15f5304fa509a2 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-a5a81abfbe15496eae15f5304fa509a22025-08-20T03:48:26ZengIEEEIEEE Access2169-35362025-01-0113891938920710.1109/ACCESS.2025.356674310985741Finding Friendly Neighborhood: Optimal D2D Relaying in mmWave IoT NetworksJ. Vamshi Vijay Krishna0https://orcid.org/0000-0002-9545-697XV. Mahendran1Venkataramana Badarla2Department of Computer Science and Engineering, Indian Institute of Technology at Tirupati, Tirupati, Andhra Pradesh, IndiaDepartment of Computer Science and Engineering, Indian Institute of Technology at Tirupati, Tirupati, Andhra Pradesh, IndiaDepartment of Computer Science and Engineering, Indian Institute of Technology at Tirupati, Tirupati, Andhra Pradesh, IndiaDevice-to-Device (D2D) relaying helps improve the coverage range and throughput of the millimeter Wave (mmWave) networks. This work focuses on improving the uplink throughput in a single-cell mmWave-based Internet-of-Things (IoT) network. The key factors involve the placement of relays and neighbor selection (NS) (<inline-formula> <tex-math notation="LaTeX">$, i.e$ </tex-math></inline-formula>., the process of selecting source IoTs within the relay node’s coverage range). The problem is formulated using model-based bandits, and the associated structural results are analyzed. Considering the resource-constrained nature of IoTs, we have developed a simple rule-based NS as an alternative to computationally intensive learning-based neighbor-selection processes from state of the art. By utilizing the rule-based NS, we show that there exists a conducive coverage range (called a friendly neighborhood) for the relay node to choose the neighbors. Accordingly, a geometry-based relay placement mechanism is proposed to maximize the uplink throughput. The optimality of the proposed solutions is shown analytically, and their performance concerning the state of the art is evaluated using extensive simulation.https://ieeexplore.ieee.org/document/10985741/D2DmmWave5G ProSeperformance modeling and analysisMABGittins indices |
| spellingShingle | J. Vamshi Vijay Krishna V. Mahendran Venkataramana Badarla Finding Friendly Neighborhood: Optimal D2D Relaying in mmWave IoT Networks IEEE Access D2D mmWave 5G ProSe performance modeling and analysis MAB Gittins indices |
| title | Finding Friendly Neighborhood: Optimal D2D Relaying in mmWave IoT Networks |
| title_full | Finding Friendly Neighborhood: Optimal D2D Relaying in mmWave IoT Networks |
| title_fullStr | Finding Friendly Neighborhood: Optimal D2D Relaying in mmWave IoT Networks |
| title_full_unstemmed | Finding Friendly Neighborhood: Optimal D2D Relaying in mmWave IoT Networks |
| title_short | Finding Friendly Neighborhood: Optimal D2D Relaying in mmWave IoT Networks |
| title_sort | finding friendly neighborhood optimal d2d relaying in mmwave iot networks |
| topic | D2D mmWave 5G ProSe performance modeling and analysis MAB Gittins indices |
| url | https://ieeexplore.ieee.org/document/10985741/ |
| work_keys_str_mv | AT jvamshivijaykrishna findingfriendlyneighborhoodoptimald2drelayinginmmwaveiotnetworks AT vmahendran findingfriendlyneighborhoodoptimald2drelayinginmmwaveiotnetworks AT venkataramanabadarla findingfriendlyneighborhoodoptimald2drelayinginmmwaveiotnetworks |