Resource Allocation for Hybrid RF/FSO Multi-Channel Multi-Radio Wireless Mesh Networks
The overwhelming data rates in next generation wireless networks impose a burden on the high-capacity network planning. One promising strategy to meet the demand for high-capacity communications is to augment radio frequency (RF) based multi-channel multi-radio (MCMR) wireless mesh network (WMN) by...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8952700/ |
| _version_ | 1831560457581756416 |
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| author | Yan Zhao Wenxiao Shi Hanyang Shi Wei Liu Zhuo Wang Jiadong Zhang |
| author_facet | Yan Zhao Wenxiao Shi Hanyang Shi Wei Liu Zhuo Wang Jiadong Zhang |
| author_sort | Yan Zhao |
| collection | DOAJ |
| description | The overwhelming data rates in next generation wireless networks impose a burden on the high-capacity network planning. One promising strategy to meet the demand for high-capacity communications is to augment radio frequency (RF) based multi-channel multi-radio (MCMR) wireless mesh network (WMN) by free-space optics (FSO). In this paper, we construct a hybrid RF/FSO MCMR WMN topology and address its resource allocation (RA) problem in terms of interface assignment, channel allocation, routing, FSO link allocation, and topology control. Considering the weather effects on FSO link availability and the fading nature of RF links, the RA problem is formulated as a two-stage optimization problem with the objective of maximizing the network throughput. In our optimization model, we formulate each stage as a mixed integer linear program, and the bottleneck RF links are gradually upgraded by FSO links. To avoid the computational complexity of the second stage optimization, an improved iterated local search algorithm is proposed. Simulation results show that our RA scheme is efficient and the throughput can be enhanced dramatically by proper FSO link augmentation. |
| first_indexed | 2024-12-17T05:46:20Z |
| format | Article |
| id | doaj.art-5be7821d203e44edb7c3e06c3a2e1eca |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T05:46:20Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-5be7821d203e44edb7c3e06c3a2e1eca2022-12-21T22:01:18ZengIEEEIEEE Access2169-35362020-01-0189358937010.1109/ACCESS.2020.29650818952700Resource Allocation for Hybrid RF/FSO Multi-Channel Multi-Radio Wireless Mesh NetworksYan Zhao0https://orcid.org/0000-0002-5099-6825Wenxiao Shi1https://orcid.org/0000-0002-0715-1800Hanyang Shi2https://orcid.org/0000-0002-8274-8367Wei Liu3https://orcid.org/0000-0001-8078-1879Zhuo Wang4https://orcid.org/0000-0002-4716-7970Jiadong Zhang5https://orcid.org/0000-0001-8947-5915College of Communication Engineering, Jilin University, Changchun, ChinaCollege of Communication Engineering, Jilin University, Changchun, ChinaCollege of Communication Engineering, Jilin University, Changchun, ChinaCollege of Communication Engineering, Jilin University, Changchun, ChinaCollege of Communication Engineering, Jilin University, Changchun, ChinaCollege of Communication Engineering, Jilin University, Changchun, ChinaThe overwhelming data rates in next generation wireless networks impose a burden on the high-capacity network planning. One promising strategy to meet the demand for high-capacity communications is to augment radio frequency (RF) based multi-channel multi-radio (MCMR) wireless mesh network (WMN) by free-space optics (FSO). In this paper, we construct a hybrid RF/FSO MCMR WMN topology and address its resource allocation (RA) problem in terms of interface assignment, channel allocation, routing, FSO link allocation, and topology control. Considering the weather effects on FSO link availability and the fading nature of RF links, the RA problem is formulated as a two-stage optimization problem with the objective of maximizing the network throughput. In our optimization model, we formulate each stage as a mixed integer linear program, and the bottleneck RF links are gradually upgraded by FSO links. To avoid the computational complexity of the second stage optimization, an improved iterated local search algorithm is proposed. Simulation results show that our RA scheme is efficient and the throughput can be enhanced dramatically by proper FSO link augmentation.https://ieeexplore.ieee.org/document/8952700/Resource allocationmulti-channel multi-radiohybrid RF/FSO networkswireless mesh networksmixed integer linear program |
| spellingShingle | Yan Zhao Wenxiao Shi Hanyang Shi Wei Liu Zhuo Wang Jiadong Zhang Resource Allocation for Hybrid RF/FSO Multi-Channel Multi-Radio Wireless Mesh Networks IEEE Access Resource allocation multi-channel multi-radio hybrid RF/FSO networks wireless mesh networks mixed integer linear program |
| title | Resource Allocation for Hybrid RF/FSO Multi-Channel Multi-Radio Wireless Mesh Networks |
| title_full | Resource Allocation for Hybrid RF/FSO Multi-Channel Multi-Radio Wireless Mesh Networks |
| title_fullStr | Resource Allocation for Hybrid RF/FSO Multi-Channel Multi-Radio Wireless Mesh Networks |
| title_full_unstemmed | Resource Allocation for Hybrid RF/FSO Multi-Channel Multi-Radio Wireless Mesh Networks |
| title_short | Resource Allocation for Hybrid RF/FSO Multi-Channel Multi-Radio Wireless Mesh Networks |
| title_sort | resource allocation for hybrid rf fso multi channel multi radio wireless mesh networks |
| topic | Resource allocation multi-channel multi-radio hybrid RF/FSO networks wireless mesh networks mixed integer linear program |
| url | https://ieeexplore.ieee.org/document/8952700/ |
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