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Network resource management for delay-sensitive applications in mobile networks (本文)

伊藤, 暢彦 慶應義塾大学

2020.09.21

概要

The chapter organization is illustrated in Fig. 1.7. The following chapter describes the mobile network architecture assumed in this research and conventional network resource management methods, i.e., scheduling techniques with priority control on evolved NodeB (eNB) and bandwidth assignment techniques with MBR control on eNB and the serving gateway and packet data network gateway (S/P-GW).

Chapter 3 proposes a scheduler implemented on eNB for cycle flow. The proposed scheduler decides the priority in accordance with the application characteristics, such as deadline and data size, and the network conditions, such as the fluctuation of radio quality. Network simulations confirm that the proposed scheduler achieves better performance than conventional schedulers. The scheduler proposed in Chapter 3 was first presented in [41].

Chapter 4 proposes a method for allocating uplink and downlink deadlines to each link in accordance with the deadline of the cycle flow and congestion levels of uplink and downlink radio sections. Network simulations confirm that the introduction of the proposed method into the scheduler proposed in Chapter 3 achieves better performance than the proposed scheduler alone. The method proposed in Chapter 4 was first presented in [42].

Chapter 5 proposes a bandwidth assignment method with MBR control based on throughput feedback, which is intended for uplink flow to collect information from various IoT devices. The proposed bandwidth assignment method enables cellular networks to assign adaptive bandwidth to uplink flow on a base station and gateway. It is clarified that a conventional model-based MBR control method achieves worse per- formance in the presence of disturbances, such as radio quality fluctuation. Numerical simulations confirm that the proposed bandwidth assignment method achieves better performance because the feedback controller maintains the effective throughput at a target level by considering disturbances. The bandwidth assignment method proposed in Chapter 5 was first presented in [43].

Finally, Chapter 6 summarizes the findings of this research.

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