Context-Aware Beam Selection for IRS-Assisted mmWave V2I Communications
Millimeter wave (mmWave) technology, with its ultra-high bandwidth and low latency, holds significant promise for vehicle-to-everything (V2X) communications. However, it faces challenges such as high propagation losses and limited coverage in dense urban vehicular environments. Intelligent Reflectin...
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MDPI AG
2025-06-01
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| Online Access: | https://www.mdpi.com/1424-8220/25/13/3924 |
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| author | Ricardo Suarez del Valle Abdulkadir Kose Haeyoung Lee |
| author_facet | Ricardo Suarez del Valle Abdulkadir Kose Haeyoung Lee |
| author_sort | Ricardo Suarez del Valle |
| collection | DOAJ |
| description | Millimeter wave (mmWave) technology, with its ultra-high bandwidth and low latency, holds significant promise for vehicle-to-everything (V2X) communications. However, it faces challenges such as high propagation losses and limited coverage in dense urban vehicular environments. Intelligent Reflecting Surfaces (IRSs) help address these issues by enhancing mmWave signal paths around obstacles, thereby maintaining reliable communication. This paper introduces a novel Contextual Multi-Armed Bandit (C-MAB) algorithm designed to dynamically adapt beam and IRS selections based on real-time environmental context. Simulation results demonstrate that the proposed C-MAB approach significantly improves link stability, doubling average beam sojourn times compared to traditional SNR-based strategies and standard MAB methods, and achieving gains of up to four times the performance in scenarios with IRS assistance. This approach enables optimized resource allocation and significantly improves coverage, data rate, and resource utilization compared to conventional methods. |
| format | Article |
| id | doaj-art-4182373c17d84b2c85973e4bdaf70b34 |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-4182373c17d84b2c85973e4bdaf70b342025-08-20T02:36:31ZengMDPI AGSensors1424-82202025-06-012513392410.3390/s25133924Context-Aware Beam Selection for IRS-Assisted mmWave V2I CommunicationsRicardo Suarez del Valle0Abdulkadir Kose1Haeyoung Lee2Department of Electronic Engineering, University of Surrey, Guildford GU2 7XH, UKDepartment of Computer Engineering, Abdullah Gül University, Kayseri 38080, TürkiyeSchool of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UKMillimeter wave (mmWave) technology, with its ultra-high bandwidth and low latency, holds significant promise for vehicle-to-everything (V2X) communications. However, it faces challenges such as high propagation losses and limited coverage in dense urban vehicular environments. Intelligent Reflecting Surfaces (IRSs) help address these issues by enhancing mmWave signal paths around obstacles, thereby maintaining reliable communication. This paper introduces a novel Contextual Multi-Armed Bandit (C-MAB) algorithm designed to dynamically adapt beam and IRS selections based on real-time environmental context. Simulation results demonstrate that the proposed C-MAB approach significantly improves link stability, doubling average beam sojourn times compared to traditional SNR-based strategies and standard MAB methods, and achieving gains of up to four times the performance in scenarios with IRS assistance. This approach enables optimized resource allocation and significantly improves coverage, data rate, and resource utilization compared to conventional methods.https://www.mdpi.com/1424-8220/25/13/3924mmWaveV2XRISmachine learningmulti-armed bandit |
| spellingShingle | Ricardo Suarez del Valle Abdulkadir Kose Haeyoung Lee Context-Aware Beam Selection for IRS-Assisted mmWave V2I Communications Sensors mmWave V2X RIS machine learning multi-armed bandit |
| title | Context-Aware Beam Selection for IRS-Assisted mmWave V2I Communications |
| title_full | Context-Aware Beam Selection for IRS-Assisted mmWave V2I Communications |
| title_fullStr | Context-Aware Beam Selection for IRS-Assisted mmWave V2I Communications |
| title_full_unstemmed | Context-Aware Beam Selection for IRS-Assisted mmWave V2I Communications |
| title_short | Context-Aware Beam Selection for IRS-Assisted mmWave V2I Communications |
| title_sort | context aware beam selection for irs assisted mmwave v2i communications |
| topic | mmWave V2X RIS machine learning multi-armed bandit |
| url | https://www.mdpi.com/1424-8220/25/13/3924 |
| work_keys_str_mv | AT ricardosuarezdelvalle contextawarebeamselectionforirsassistedmmwavev2icommunications AT abdulkadirkose contextawarebeamselectionforirsassistedmmwavev2icommunications AT haeyounglee contextawarebeamselectionforirsassistedmmwavev2icommunications |