2017 Fiscal Year Research-status Report
Sensing Augmented Database-Driven Spectrum Sharing Framework
| Project/Area Number |
17K12670
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| Research Institution | Ibaraki University |
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Principal Investigator |
王 瀟岩 茨城大学, 工学部, 助教 (10725667)
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| Project Period (FY) |
2017-04-01 – 2020-03-31
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| Keywords | spectrum sharing |
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| Outline of Annual Research Achievements |
In the past year, we studied [1] the exclusive zone refinement problem by using random sensing result, and [2] crowdsourcing incentive mechanism by using monetary reward.
Specifically, we studied the tradeoff between spectrum database accuracy and sensing cost. We proposed a decision tree based approach to select the sensing point. For the second problem, we propose a novel fine-grained incentive mechanism for sensing augmented spectrum database. Simulation results demonstrate that the
proposed mechanism could save noticeable expenditure compared to two baseline schemes.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
We consider that the research progresses smoothly. We have published 2 internal conference papers and multiple domestic conference papers in the past year under this funding. The 2 research problems considered in the application form are all well addressed.
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| Strategy for Future Research Activity |
In the following year, we will continue the research with emphasis on more complex research problems, i.e., [P1-2] Refining the zone by using sensing results from specific area and [P2-2] Resource reward based incentive mechanism. Also, we will try to implement our proposal on real testbed.
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