论文标题
分布式资源分配，用于网络切片，超过许可和无执照的频段
Distributed Resource Allocation for Network Slicing over Licensed and Unlicensed Bands
论文作者
论文摘要
网络切片被认为是5G的关键促进技术之一，因为它能够自定义和“切片”来支持多元化服务和垂直行业的共同资源。本文介绍了一个新型的操作员网络切片框架，其中多个移动网络运营商（MNOS）可以在两种持有依靠的乐队中协调并共同将其访问的光谱资源协调并共同访问其可访问的光谱。对于有执照的频段切片，我们提出了一种操作员频谱聚合方法，该方法允许两个或更多MNO合作并共享其许可频段以支持一套通用的服务类型。然后，我们考虑共享未经许可的乐队。因为所有MNO都享有访问这些乐队的平等权利，所以我们介绍了MNO共享和交易其频谱访问权利的权利共享概念。当与其他无线技术共存时，我们开发了一种{\ em修改后的后杆（mboe）方法}来评估其{\ em右右值（vor）}时。基于重叠联盟组合游戏的{\ em网络切片游戏}是为了研究MNO之间的合作而制定的。我们证明，我们提议的游戏始终具有至少一个稳定的切片结构，可最大程度地提高社会福利。为了实施我们建议的框架，而无需MNO向其他MNO揭示私人信息，我们开发了一种称为D-ADMM-PVS的分布式算法。使用离散事件的模拟器进行了对我们提出的框架的性能评估，该模拟器是由真正的MNO部署场景驱动的，该场景基于都柏林市的两个主要蜂窝操作员部署的400多个基站位置。我们提出的框架显示，我们提出的框架几乎可以使每个MNO的支持框架的能力几乎翻倍。
Network slicing is considered one of the key enabling technologies for 5G due to its ability to customize and "slice" a common resource to support diverse services and verticals.This paper introduces a novel inter-operator network slicing framework in which multiple mobile network operators (MNOs) can coordinate and jointly slice their accessible spectrum resources in both licensed and unlicensed bands. For licensed band slicing, we propose an inter-operator spectrum aggregation method that allows two or more MNOs to cooperate and share their licensed bands to support a common set of service types. We then consider the sharing of unlicensed bands. Because all MNOs enjoy equal rights to accessing these bands, we introduce the concept of right sharing for MNOs to share and trade their spectrum access rights. We develop a {\em modified back-of-the-envelope (mBoE) method} for MNOs to evaluate their {\em Value-of-Rights (VoR)} when coexisting with other wireless technologies. A {\em network slicing game} based on the overlapping coalition formation game is formulated to investigate cooperation between MNOs. We prove that our proposed game always has at least one stable slicing structure that maximizes the social welfare. To implement our proposed framework without requiring MNOs to reveal private information to other MNOs, we develop a distributed algorithm called D-ADMM-PVS. Performance evaluation of our proposed framework is provided using a discrete-event simulator that is driven by real MNO deployment scenarios based on over 400 base station locations deployed by two primary cellular operators in the city of Dublin.Numerical results show that our proposed framework can almost double the capacity for all supported services for each MNO in an urban setting.
