| Project/Area Number |
18K11269
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 60060:Information network-related
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| Research Institution | The University of Aizu |
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Principal Investigator |
PHAM T. Anh 会津大学, コンピュータ理工学部, 教授 (80404896)
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| Project Period (FY) |
2018-04-01 – 2021-03-31
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| Project Status |
Completed (Fiscal Year 2020)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2020: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | massive IoT / M2M Communications / Random Access Protocol / Distributed Queue / Access Class Barring / RFID / Massive IoT / Dueling Deep Q-Network / M2M / Identification Protocol / Protocol Design / Mobile network / Internet of Things |
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| Outline of Final Research Achievements |
The project has three main achievements. First, we proposed a novel access protocol based on the distributed queue (DQ) mechanism to tackle the massive access issue in cellular-based IoT. We also built a simulation model to validate the analytical model and the effectiveness of the proposed protocol. Second, we exploited the fact that a significant portion of devices is covered by densely deployed small-cells such that a small-cell base station (SBS) may act as a representative for its MTDs during the preamble transmission step to reduce the load on signaling channels. Finally, we proposed a Dueling Deep Q-Network (DNN)-based dynamic ACB solution that explicitly considered energy consumption and controlled both the barring factor and the mean barring time. We confirmed that the proposed method could achieve a good delay performance at a significantly lower energy cost. Furthermore, our proposed scheme could efficiently realize the tradeoff between access delay and energy consumption.
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| Academic Significance and Societal Importance of the Research Achievements |
私達は5Gモバイルネットワークによってサポートされるモノのインターネット（IoT）の時代で、大規模なマシン通信（MTC）デバイス用のランダムアクセスプロトコルの設計と開発に取り組んでいる。 大規模なIoTをサポートする5Gモバイルネットワークでは、セルあたり3万MTCデバイスに対応する機能を備えたモバイルセルを想定する必要がある。 私達はスマートシティアプリケーションの負荷パターンに典型的な、膨大な量（数万の同時オーダー）の異なる優先度で規則的または緊急のトラフィックをサポートできるアクセスプロトコルの新しい設計とアーキテクチャを提案している。
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