Improving IoRT Networks: Cross-Tier Resource Allocation for Multi-Antenna UAV Relays in SAGIN
In response to reducing power consumption while reducing equipment and maintaining high data rate requirements in Space-Air-Ground Integrated Networks (SAGIN) as part of the Internet of Remote Things (IoRT) networks, this paper proposes a system model and optimization scheme. Our modified architectu...
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2024-01-01
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| author | Zahra Khodadadi Foroogh S. Tabataba Mohammad Sadegh Fazel Mehdi Naderi Soorki Halim Yanikomeroglu |
| author_facet | Zahra Khodadadi Foroogh S. Tabataba Mohammad Sadegh Fazel Mehdi Naderi Soorki Halim Yanikomeroglu |
| author_sort | Zahra Khodadadi |
| collection | DOAJ |
| description | In response to reducing power consumption while reducing equipment and maintaining high data rate requirements in Space-Air-Ground Integrated Networks (SAGIN) as part of the Internet of Remote Things (IoRT) networks, this paper proposes a system model and optimization scheme. Our modified architecture features multi-antenna Unmanned Aerial Vehicle (UAV) relays, gateway selection among existing UAVs for communication with satellite, and integration of Free Space Optic (FSO) space links to enhance air-space link data rates. The optimization problem aims to minimize the weighted sum of the number of gateways and the total UAV power consumption by jointly optimizing UAV deployment, UAV power allocation, gateway selection, and channel allocation. By jointly adopting proposed size-constrained PSO-K-means clustering, Simulated Annealing (SA) method, and Successive Convex Approximation (SCA) method, a two-stage scheme is devised to solve the proposed NP-hard and non-convex problem. Our simulation results indicate that an average performance improvement of 44% is achieved by our proposed scheme compared to the case where only clustering is performed. Furthermore, our proposed solution finds the number of gateways for different scenarios. For instance, almost all UAVs are selected as gateways to minimize UAV power consumption without considering any constraint on the number of gateways. Moreover, the performance difference between considering total UAV power consumption and only transmission power in the system optimization is shown. The results indicate that taking circuit power into account influences the selection of the number of gateways, as circuit power consumption is substantially higher than transmission power. |
| format | Article |
| id | doaj-art-c8e45623bdb748aabf65e8da43e02d9b |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-c8e45623bdb748aabf65e8da43e02d9b2024-12-11T00:05:11ZengIEEEIEEE Access2169-35362024-01-011217974817976310.1109/ACCESS.2024.350785610770119Improving IoRT Networks: Cross-Tier Resource Allocation for Multi-Antenna UAV Relays in SAGINZahra Khodadadi0https://orcid.org/0009-0002-6670-9189Foroogh S. Tabataba1https://orcid.org/0000-0001-6383-0659Mohammad Sadegh Fazel2https://orcid.org/0000-0001-9116-5211Mehdi Naderi Soorki3Halim Yanikomeroglu4https://orcid.org/0000-0003-4776-9354Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, IranDepartment of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, IranDepartment of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, IranResearch Laboratory of Intelligent Wireless Networks (IWiN), Engineering Faculty, Shahid Chamran University of Ahvaz, Ahvaz, IranDepartment of Systems and Computer Engineering, Non-Terrestrial Networks (NTN) Laboratory, Carleton University, Ottawa, ON, CanadaIn response to reducing power consumption while reducing equipment and maintaining high data rate requirements in Space-Air-Ground Integrated Networks (SAGIN) as part of the Internet of Remote Things (IoRT) networks, this paper proposes a system model and optimization scheme. Our modified architecture features multi-antenna Unmanned Aerial Vehicle (UAV) relays, gateway selection among existing UAVs for communication with satellite, and integration of Free Space Optic (FSO) space links to enhance air-space link data rates. The optimization problem aims to minimize the weighted sum of the number of gateways and the total UAV power consumption by jointly optimizing UAV deployment, UAV power allocation, gateway selection, and channel allocation. By jointly adopting proposed size-constrained PSO-K-means clustering, Simulated Annealing (SA) method, and Successive Convex Approximation (SCA) method, a two-stage scheme is devised to solve the proposed NP-hard and non-convex problem. Our simulation results indicate that an average performance improvement of 44% is achieved by our proposed scheme compared to the case where only clustering is performed. Furthermore, our proposed solution finds the number of gateways for different scenarios. For instance, almost all UAVs are selected as gateways to minimize UAV power consumption without considering any constraint on the number of gateways. Moreover, the performance difference between considering total UAV power consumption and only transmission power in the system optimization is shown. The results indicate that taking circuit power into account influences the selection of the number of gateways, as circuit power consumption is substantially higher than transmission power.https://ieeexplore.ieee.org/document/10770119/Space-air-ground networkRF/FSOresource allocationgateway selectionmulti-antenna UAVssize-constrained PSO-K-means clustering |
| spellingShingle | Zahra Khodadadi Foroogh S. Tabataba Mohammad Sadegh Fazel Mehdi Naderi Soorki Halim Yanikomeroglu Improving IoRT Networks: Cross-Tier Resource Allocation for Multi-Antenna UAV Relays in SAGIN IEEE Access Space-air-ground network RF/FSO resource allocation gateway selection multi-antenna UAVs size-constrained PSO-K-means clustering |
| title | Improving IoRT Networks: Cross-Tier Resource Allocation for Multi-Antenna UAV Relays in SAGIN |
| title_full | Improving IoRT Networks: Cross-Tier Resource Allocation for Multi-Antenna UAV Relays in SAGIN |
| title_fullStr | Improving IoRT Networks: Cross-Tier Resource Allocation for Multi-Antenna UAV Relays in SAGIN |
| title_full_unstemmed | Improving IoRT Networks: Cross-Tier Resource Allocation for Multi-Antenna UAV Relays in SAGIN |
| title_short | Improving IoRT Networks: Cross-Tier Resource Allocation for Multi-Antenna UAV Relays in SAGIN |
| title_sort | improving iort networks cross tier resource allocation for multi antenna uav relays in sagin |
| topic | Space-air-ground network RF/FSO resource allocation gateway selection multi-antenna UAVs size-constrained PSO-K-means clustering |
| url | https://ieeexplore.ieee.org/document/10770119/ |
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