Trading-based dynamic spectrum access and allocation in cognitive internet of things
Next-generation mobile communication networks promise the support for vast number of IoT devices with strong demand for spectrum access. The cater for the continuous growth of IoT applications, one of the challenges to mobile communication network providers is to allow dynamic spectrum access to a g...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/138022 |
| _version_ | 1826112195240394752 |
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| author | Li, Feng Lam, Kwok-Yan Meng, Limin Luo, Hao Wang, Li |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Li, Feng Lam, Kwok-Yan Meng, Limin Luo, Hao Wang, Li |
| author_sort | Li, Feng |
| collection | NTU |
| description | Next-generation mobile communication networks promise the support for vast number of IoT devices with strong demand for spectrum access. The cater for the continuous growth of IoT applications, one of the challenges to mobile communication network providers is to allow dynamic spectrum access to a gigantic number of densely distributed and low-power IoT networks. In this paper, a novel dynamic spectrum access method is proposed based on spectrum trading for distributed IoT devices. The notion of access benefit is introduced which is based on the purchased band number and modulation mode provided to the mobile user. In the proposed solution, IoT users aim achieve optimization of their spectrum access by ensuring that the spectrum price will not exceed the access benefits from the spectrum trading by solving the spectrum optimization function. Due to the complexity of optimization objective function, pattern search algorithm is utilized to complete the final spectrum allocation optimization. Numerical results are also provided to testify the performances of the proposed spectrum optimization method. |
| first_indexed | 2024-10-01T03:03:00Z |
| format | Journal Article |
| id | ntu-10356/138022 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:03:00Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1380222020-09-26T22:04:15Z Trading-based dynamic spectrum access and allocation in cognitive internet of things Li, Feng Lam, Kwok-Yan Meng, Limin Luo, Hao Wang, Li School of Computer Science and Engineering Engineering::Computer science and engineering Internet of Things Dynamic Spectrum Access Next-generation mobile communication networks promise the support for vast number of IoT devices with strong demand for spectrum access. The cater for the continuous growth of IoT applications, one of the challenges to mobile communication network providers is to allow dynamic spectrum access to a gigantic number of densely distributed and low-power IoT networks. In this paper, a novel dynamic spectrum access method is proposed based on spectrum trading for distributed IoT devices. The notion of access benefit is introduced which is based on the purchased band number and modulation mode provided to the mobile user. In the proposed solution, IoT users aim achieve optimization of their spectrum access by ensuring that the spectrum price will not exceed the access benefits from the spectrum trading by solving the spectrum optimization function. Due to the complexity of optimization objective function, pattern search algorithm is utilized to complete the final spectrum allocation optimization. Numerical results are also provided to testify the performances of the proposed spectrum optimization method. NRF (Natl Research Foundation, S’pore) Published version 2020-04-22T03:07:21Z 2020-04-22T03:07:21Z 2019 Journal Article Li, F., Lam, K.-Y., Meng, L., Luo, H., & Wang, L. (2019). Trading-based dynamic spectrum access and allocation in cognitive internet of things. IEEE Access, 7, 125952-125959. doi:10.1109/ACCESS.2019.2937582 2169-3536 https://hdl.handle.net/10356/138022 10.1109/ACCESS.2019.2937582 2-s2.0-85072575591 7 125952 125959 en IEEE Access This journal is 100% open access, which means that all content is freely available without charge to users or their institutions. All articles accepted after 12 June 2019 are published under a CC BY 4.0 license, and the author retains copyright. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, as long as proper attribution is given. application/pdf |
| spellingShingle | Engineering::Computer science and engineering Internet of Things Dynamic Spectrum Access Li, Feng Lam, Kwok-Yan Meng, Limin Luo, Hao Wang, Li Trading-based dynamic spectrum access and allocation in cognitive internet of things |
| title | Trading-based dynamic spectrum access and allocation in cognitive internet of things |
| title_full | Trading-based dynamic spectrum access and allocation in cognitive internet of things |
| title_fullStr | Trading-based dynamic spectrum access and allocation in cognitive internet of things |
| title_full_unstemmed | Trading-based dynamic spectrum access and allocation in cognitive internet of things |
| title_short | Trading-based dynamic spectrum access and allocation in cognitive internet of things |
| title_sort | trading based dynamic spectrum access and allocation in cognitive internet of things |
| topic | Engineering::Computer science and engineering Internet of Things Dynamic Spectrum Access |
| url | https://hdl.handle.net/10356/138022 |
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