A bilevel game matching algorithm in cellular-D2D hybrid scenario
With the rapid development of wireless technologies,wireless access networks enter the 5G system phase.5G environment with various technical scenarios is heterogeneous and dynamic,causing great challenges for wireless resource management.Hence,it is significant to achieve the optimal matching betwee...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2018-01-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2018027 |
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| _version_ | 1850213624907300864 |
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| author | Tian YAO Hui ZHANG |
| author_facet | Tian YAO Hui ZHANG |
| author_sort | Tian YAO |
| collection | DOAJ |
| description | With the rapid development of wireless technologies,wireless access networks enter the 5G system phase.5G environment with various technical scenarios is heterogeneous and dynamic,causing great challenges for wireless resource management.Hence,it is significant to achieve the optimal matching between network resources and user demands.Therefore,wireless resource matching algorithms in 5G environment have become one of the hottest research directions.A bilevel game matching algorithm in cellular-D2D hybrid scenario was proposed:a QoE based matching model considering user fairness was constructed,the bilevel matching game theory was used to solve this optimization problem,and the effectiveness of proposed algorithm was verified through simulations. |
| format | Article |
| id | doaj-art-6a38064eb536497ca0a249deb279fbf6 |
| institution | OA Journals |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2018-01-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-6a38064eb536497ca0a249deb279fbf62025-08-20T02:09:06ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012018-01-0134435159597503A bilevel game matching algorithm in cellular-D2D hybrid scenarioTian YAOHui ZHANGWith the rapid development of wireless technologies,wireless access networks enter the 5G system phase.5G environment with various technical scenarios is heterogeneous and dynamic,causing great challenges for wireless resource management.Hence,it is significant to achieve the optimal matching between network resources and user demands.Therefore,wireless resource matching algorithms in 5G environment have become one of the hottest research directions.A bilevel game matching algorithm in cellular-D2D hybrid scenario was proposed:a QoE based matching model considering user fairness was constructed,the bilevel matching game theory was used to solve this optimization problem,and the effectiveness of proposed algorithm was verified through simulations.http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.20180275G environment;cellular scenario;D2D scenario;resource matching;matching game |
| spellingShingle | Tian YAO Hui ZHANG A bilevel game matching algorithm in cellular-D2D hybrid scenario Dianxin kexue 5G environment;cellular scenario;D2D scenario;resource matching;matching game |
| title | A bilevel game matching algorithm in cellular-D2D hybrid scenario |
| title_full | A bilevel game matching algorithm in cellular-D2D hybrid scenario |
| title_fullStr | A bilevel game matching algorithm in cellular-D2D hybrid scenario |
| title_full_unstemmed | A bilevel game matching algorithm in cellular-D2D hybrid scenario |
| title_short | A bilevel game matching algorithm in cellular-D2D hybrid scenario |
| title_sort | bilevel game matching algorithm in cellular d2d hybrid scenario |
| topic | 5G environment;cellular scenario;D2D scenario;resource matching;matching game |
| url | http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2018027 |
| work_keys_str_mv | AT tianyao abilevelgamematchingalgorithmincellulard2dhybridscenario AT huizhang abilevelgamematchingalgorithmincellulard2dhybridscenario AT tianyao bilevelgamematchingalgorithmincellulard2dhybridscenario AT huizhang bilevelgamematchingalgorithmincellulard2dhybridscenario |