Autonomous Optimization Techniques for Heterogeneous Type Cognitive Radio Networks
| Project/Area Number |
22700084
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Computer system/Network
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| Research Institution | Tokyo University of Science |
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Principal Investigator |
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2012: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
Fiscal Year 2011: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2010: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | コグニティブ無線 / モバイルネットワーク / ヘテロジニアスワイヤレスネットワーク / 組合せ最適化 / カオス / 無線リソースマネージメント / コグニティブ無線ネットワーク / ヘテロジニアスネットワーク / ヘチロジニアスワイヤレスネットワーク / 無線リソースマネジメント / IEEE1900.4 |
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| Research Abstract |
This research proposed autonomous optimization techniques for heterogeneous type cognitive radio networks. Those algorithms select themost appropriate wireless network setting from various available networks for the users and hands over to the selected networks. The proposed techniques using neural network based optimization and machine learning were implemented on real wireless devices, and their effectiveness were shown by the experiments using thoseimplemented systems
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Report
(4 results)
Research Products
(142 results)
