2022 Fiscal Year Research-status Report
Radio Resource Management in 5G and Beyond Networks: A Layered In-network Learning Approach
| Project/Area Number |
20K11764
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| Research Institution | Ibaraki University |
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Principal Investigator |
王 瀟岩 茨城大学, 理工学研究科(工学野), 准教授 (10725667)
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| Co-Investigator(Kenkyū-buntansha) |
梅比良 正弘 茨城大学, 理工学研究科(工学野), 特命研究員 (00436239)
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Keywords | wireless access / federated learning |
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| Outline of Annual Research Achievements |
In FY2022, we investigate the practical global model update process in wireless networks by proposing a robust asynchronized computing and communication process. Specifically, we proposed to decouple the computing and communication processes, and let the edge server use a subset of asynchronized local gradients to update the global model. We proved the algorithm’s convergence and evaluated its performance by simulations.
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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 journal papers, 2 internal conference papers and multiple domestic conference papers in FY2022 under the support of this funding.
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| Strategy for Future Research Activity |
In the following year, we will implement the proposed layered in-network learning approach. Specifically, the main functions of FL will be implemented in the edge server (a GPU-workstation), and meanwhile, global gradient updating features would be added to the intelligent BSs. We will extensively evaluate the performance in terms of network throughput, spectrum utilization, bandwidth consumption and convergence speed, by using our developed testbed.
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| Causes of Carryover |
Due to the affect of COVID19, most of the conferences are held online. Therefore, the grant originally planed for attending the conferences has not been used. These unused grant will be used as the participation fee for domestic and international conferences in FY2023.
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