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Multi-Layer Radio Network Slicing for Heterogeneous Communication Systems

机译:异构通信系统的多层无线网络切片

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摘要

In this paper, we consider the radio access network (RAN) slicing in heterogeneous communication systems. Typically, the infrastructure provider (InP) allocates the radio resources to the mobile virtual network operators (MVNOs) as RAN slices, and then the MVNOs use the allocated resources to provide services for their users. As the RAN being heterogeneous, the users are generally with different quality of service (QoS) requirements. Besides, the MVNOs also have different intrinsic interests in terms of collecting revenue and satisfying users QoS demand and thus require different amount of resources. In this regard, it is challenging for the InP to determine the resource allocation strategy. To deal with this issue, we propose a three-layer Stackelberg game (TLSG) to jointly solve the frequency and power allocation for the InP. We derive the unique equilibrium for the special case where each MVNO uniform users and propose a bi-level differential evolution algorithm for more general cases. Simulation results reveal that both users and the InP can be better off when the RAN is sliced for different types of users, and that the MVNOs focusing more on revenue collecting result in the InP and the users obtaining less payoff.
机译:在本文中,我们考虑在异构通信系统中的无线电接入网络(RAN)切片。通常,基础架构提供商(INP)将无线电资源分配给移动虚拟网络运营商(MVNOS)作为RAN切片,然后MVNOS使用分配的资源为其用户提供服务。随着运行的异构,用户通常具有不同的服务质量(QoS)要求。此外,MVNOS在收集收入并满足用户QoS需求方面也具有不同的内在利益,因此需要不同的资源。在这方面,INP确定资源分配策略是挑战。要处理此问题,我们提出了一个三层Stackelberg游戏(TLSG),共同解决了INP的频率和功率分配。我们从每个MVNO统一用户推导出特殊情况的独特均衡,并提出了一种用于更多普通情况的双级差分演进算法。模拟结果表明,当为不同类型的用户切片时,用户和INP都可以更好地熄灭,并且MVNO在INP和用户获得更少的收益中的收入收集结果。

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