| Project/Area Number |
15K18062
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Communication/Network engineering
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| Research Institution | Tohoku University |
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Principal Investigator |
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| Project Period (FY) |
2015-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2016: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2015: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | 5G / resource allocation / wireless communications / energy-efficiency / spectral efficiency |
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| Outline of Final Research Achievements |
In this research, we focused on the challenging task of designing energy-efficient radio resource management (RRM) modules for hyper dense heterogeneous networks (HDHNs). In brief, the following tasks were fulfilled: (I) Developing velocity estimation algorithms with high accuracy for HDHNs (II) Designing a fuzzy logic based cell-selection and handover algorithm for HDHNs (III) Aiming at improving the energy-efficiency (EE) and spectral-Efficiency (SE) of HDHNs (IV) Developing a smart phone application for wireless data collection, to verify the performance of RRM algorithms.
For instance, one of proposed RRM algorithms was an intelligent and energy-efficient user association algorithm based on base station (BS)’s estimated load and signal to interference and noise ratio (SINR). Simulation results show that this algorithm yields significant performance gains up to 26.4% and 22% compared to the benchmark in terms of average energy consumption and BS load, respectively.
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