Adaptive Resource Allocation and Mode Switching for D2D Networks With Imperfect CSI in AGV-Based Factory Automation
In industrial factory automation and control system, reliable communication for automated guided vehicles (AGVs) in dynamic, interference laden factory settings are essential particularly for real-time operations. Device-to-device (D2D) technology can enhance industrial network performance by offloa...
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IEEE
2025-01-01
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| Series: | IEEE Open Journal of Vehicular Technology |
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| Online Access: | https://ieeexplore.ieee.org/document/10804206/ |
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| author | Safiu A. Gbadamosi Gerhard P. Hancke Adnan M. Abu-Mahfouz |
| author_facet | Safiu A. Gbadamosi Gerhard P. Hancke Adnan M. Abu-Mahfouz |
| author_sort | Safiu A. Gbadamosi |
| collection | DOAJ |
| description | In industrial factory automation and control system, reliable communication for automated guided vehicles (AGVs) in dynamic, interference laden factory settings are essential particularly for real-time operations. Device-to-device (D2D) technology can enhance industrial network performance by offloading traffic and improving resource utilization. However, deploying D2D-enabled networks presents challenges such as interference control and imperfect channel state information (ICSI). In this paper, we investigate an adaptive resource allocation and mode switching strategy (ARAMS) in D2D-enabled industrial small cell (SC) networks with ICSI to maximize the system throughput and address reuse interference for AGVs. The ARAMS scheme integrates mode switching (MS), channel-quality factor (CQF), and power control (PC) within a bi-phasic resource-sharing (RS) algorithm to lower the computational complexity. In the initial phase, the operational mode for each D2D user (DU) per cell is adaptively selected based on the channel gain ratio (CGR). Subsequently, it computes the CQF for each cell with a reuse DU to identify an optimal reuse partner. The final phase employs the Lagrangian dual decomposition method to decide the DU's and industrial cellular users (CUs) optimum distributed power to maximize the system throughput under the interference constraints. The numerical results show that as channel estimation error variance (CEEV) increases, the ARAMS scheme consistently outperforms other approaches in maximizing system throughput, except for the AIMS scheme. |
| format | Article |
| id | doaj-art-72c4bbbf77fe4324ae876246e5b47f45 |
| institution | Kabale University |
| issn | 2644-1330 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Vehicular Technology |
| spelling | doaj-art-72c4bbbf77fe4324ae876246e5b47f452025-01-14T00:02:58ZengIEEEIEEE Open Journal of Vehicular Technology2644-13302025-01-01628830010.1109/OJVT.2024.351913510804206Adaptive Resource Allocation and Mode Switching for D2D Networks With Imperfect CSI in AGV-Based Factory AutomationSafiu A. Gbadamosi0https://orcid.org/0000-0002-3583-9346Gerhard P. Hancke1https://orcid.org/0000-0002-2388-3542Adnan M. Abu-Mahfouz2https://orcid.org/0000-0002-6413-3924Department of Electrical and Electronic Engineering, Federal University of Technology, Minna, NigeriaDepartment of Computer Science, City University of Hong Kong, Kowloon Tong, Kowloon, Hong KongDepartment of Electrical Electronic and Computer Engineering, University of Pretoria, Pretoria, South AfricaIn industrial factory automation and control system, reliable communication for automated guided vehicles (AGVs) in dynamic, interference laden factory settings are essential particularly for real-time operations. Device-to-device (D2D) technology can enhance industrial network performance by offloading traffic and improving resource utilization. However, deploying D2D-enabled networks presents challenges such as interference control and imperfect channel state information (ICSI). In this paper, we investigate an adaptive resource allocation and mode switching strategy (ARAMS) in D2D-enabled industrial small cell (SC) networks with ICSI to maximize the system throughput and address reuse interference for AGVs. The ARAMS scheme integrates mode switching (MS), channel-quality factor (CQF), and power control (PC) within a bi-phasic resource-sharing (RS) algorithm to lower the computational complexity. In the initial phase, the operational mode for each D2D user (DU) per cell is adaptively selected based on the channel gain ratio (CGR). Subsequently, it computes the CQF for each cell with a reuse DU to identify an optimal reuse partner. The final phase employs the Lagrangian dual decomposition method to decide the DU's and industrial cellular users (CUs) optimum distributed power to maximize the system throughput under the interference constraints. The numerical results show that as channel estimation error variance (CEEV) increases, the ARAMS scheme consistently outperforms other approaches in maximizing system throughput, except for the AIMS scheme.https://ieeexplore.ieee.org/document/10804206/Channel quality factor (CQF)D2D usersinterference-control (IC)imperfect channel state information (ICSI)mode switching (MS)channel estimation error variance (CEEV) |
| spellingShingle | Safiu A. Gbadamosi Gerhard P. Hancke Adnan M. Abu-Mahfouz Adaptive Resource Allocation and Mode Switching for D2D Networks With Imperfect CSI in AGV-Based Factory Automation IEEE Open Journal of Vehicular Technology Channel quality factor (CQF) D2D users interference-control (IC) imperfect channel state information (ICSI) mode switching (MS) channel estimation error variance (CEEV) |
| title | Adaptive Resource Allocation and Mode Switching for D2D Networks With Imperfect CSI in AGV-Based Factory Automation |
| title_full | Adaptive Resource Allocation and Mode Switching for D2D Networks With Imperfect CSI in AGV-Based Factory Automation |
| title_fullStr | Adaptive Resource Allocation and Mode Switching for D2D Networks With Imperfect CSI in AGV-Based Factory Automation |
| title_full_unstemmed | Adaptive Resource Allocation and Mode Switching for D2D Networks With Imperfect CSI in AGV-Based Factory Automation |
| title_short | Adaptive Resource Allocation and Mode Switching for D2D Networks With Imperfect CSI in AGV-Based Factory Automation |
| title_sort | adaptive resource allocation and mode switching for d2d networks with imperfect csi in agv based factory automation |
| topic | Channel quality factor (CQF) D2D users interference-control (IC) imperfect channel state information (ICSI) mode switching (MS) channel estimation error variance (CEEV) |
| url | https://ieeexplore.ieee.org/document/10804206/ |
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