Resource Allocation for Cognitive LEO Satellite Systems: Facilitating IoT Communications
Due to the characteristics of global coverage, on-demand access, and large capacity, the low earth orbit (LEO) satellite communication (SatCom) has become one promising technology to support the Internet-of-Things (IoT). However, due to the scarcity of satellite spectrum and the high cost of designi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/8/3875 |
| _version_ | 1797603540883996672 |
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| author | Bowen Cai Qianqian Zhang Jungang Ge Weiliang Xie |
| author_facet | Bowen Cai Qianqian Zhang Jungang Ge Weiliang Xie |
| author_sort | Bowen Cai |
| collection | DOAJ |
| description | Due to the characteristics of global coverage, on-demand access, and large capacity, the low earth orbit (LEO) satellite communication (SatCom) has become one promising technology to support the Internet-of-Things (IoT). However, due to the scarcity of satellite spectrum and the high cost of designing satellites, it is difficult to launch a dedicated satellite for IoT communications. To facilitate IoT communications over LEO SatCom, in this paper, we propose the cognitive LEO satellite system, where the IoT users act as the secondary user to access the legacy LEO satellites and cognitively use the spectrum of the legacy LEO users. Due to the flexibility of code division multiple access (CDMA) in multiple access and the wide use of CDMA in LEO SatCom, we apply CDMA to support cognitive satellite IoT communications. For the cognitive LEO satellite system, we are interested in the achievable rate analysis and resource allocation. Specifically, considering the randomness of spreading codes, we use the random matrix theory to analyze the asymptotic signal-to-interference-plus-noise ratios (SINRs) and accordingly obtain the achievable rates for both legacy and IoT systems. The power of the legacy and IoT transmissions at the receiver are jointly allocated to maximize the sum rate of the IoT transmission subject to the legacy satellite system performance requirement and the maximum received power constraints. We prove that the sum rate of the IoT users is quasi-concave over the satellite terminal receive power, based on which the optimal receive powers for these two systems are derived. Finally, the resource allocation scheme proposed in this paper has been verified by extensive simulations. |
| first_indexed | 2024-03-11T04:33:34Z |
| format | Article |
| id | doaj.art-fb595c0afbe141c1954ed97f36ee167a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T04:33:34Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-fb595c0afbe141c1954ed97f36ee167a2023-11-17T21:15:52ZengMDPI AGSensors1424-82202023-04-01238387510.3390/s23083875Resource Allocation for Cognitive LEO Satellite Systems: Facilitating IoT CommunicationsBowen Cai0Qianqian Zhang1Jungang Ge2Weiliang Xie3China Telecom Research Institute, Beijing 102209, ChinaUniversity of Electronic Science and Technology of China (UESTC), Chengdu 611731, ChinaUniversity of Electronic Science and Technology of China (UESTC), Chengdu 611731, ChinaChina Telecom Research Institute, Beijing 102209, ChinaDue to the characteristics of global coverage, on-demand access, and large capacity, the low earth orbit (LEO) satellite communication (SatCom) has become one promising technology to support the Internet-of-Things (IoT). However, due to the scarcity of satellite spectrum and the high cost of designing satellites, it is difficult to launch a dedicated satellite for IoT communications. To facilitate IoT communications over LEO SatCom, in this paper, we propose the cognitive LEO satellite system, where the IoT users act as the secondary user to access the legacy LEO satellites and cognitively use the spectrum of the legacy LEO users. Due to the flexibility of code division multiple access (CDMA) in multiple access and the wide use of CDMA in LEO SatCom, we apply CDMA to support cognitive satellite IoT communications. For the cognitive LEO satellite system, we are interested in the achievable rate analysis and resource allocation. Specifically, considering the randomness of spreading codes, we use the random matrix theory to analyze the asymptotic signal-to-interference-plus-noise ratios (SINRs) and accordingly obtain the achievable rates for both legacy and IoT systems. The power of the legacy and IoT transmissions at the receiver are jointly allocated to maximize the sum rate of the IoT transmission subject to the legacy satellite system performance requirement and the maximum received power constraints. We prove that the sum rate of the IoT users is quasi-concave over the satellite terminal receive power, based on which the optimal receive powers for these two systems are derived. Finally, the resource allocation scheme proposed in this paper has been verified by extensive simulations.https://www.mdpi.com/1424-8220/23/8/3875Internet of Things (IoT)low earth orbit (LEO) satellite communicationcognitive radioresource allocation |
| spellingShingle | Bowen Cai Qianqian Zhang Jungang Ge Weiliang Xie Resource Allocation for Cognitive LEO Satellite Systems: Facilitating IoT Communications Sensors Internet of Things (IoT) low earth orbit (LEO) satellite communication cognitive radio resource allocation |
| title | Resource Allocation for Cognitive LEO Satellite Systems: Facilitating IoT Communications |
| title_full | Resource Allocation for Cognitive LEO Satellite Systems: Facilitating IoT Communications |
| title_fullStr | Resource Allocation for Cognitive LEO Satellite Systems: Facilitating IoT Communications |
| title_full_unstemmed | Resource Allocation for Cognitive LEO Satellite Systems: Facilitating IoT Communications |
| title_short | Resource Allocation for Cognitive LEO Satellite Systems: Facilitating IoT Communications |
| title_sort | resource allocation for cognitive leo satellite systems facilitating iot communications |
| topic | Internet of Things (IoT) low earth orbit (LEO) satellite communication cognitive radio resource allocation |
| url | https://www.mdpi.com/1424-8220/23/8/3875 |
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