Vehicular networks are expected to support diverse content applications with
multi-dimensional quality of service (QoS) requirements, which cannot be
realized by the conventional one-fit-all network management method. In this
paper, a service-oriented hierarchical soft slicing framework is proposed for
the cache-enabled vehicular networks, where each slice supports one service and
the resources are logically isolated but opportunistically reused to exploit
the multiplexing gain. The performance of the proposed framework is studied in
an analytical way considering two typical on-road content services, i.e., the
time-critical driving related context information service (CIS) and the
bandwidth-consuming infotainment service (IS). Two network slices are
constructed to support the CIS and IS, respectively, where the resource is
opportunistic reused at both intra- and inter-slice levels. Specifically, the
throughput of the IS slice, the content freshness (i.e., age of information)
and delay performances of the CIS slice are analyzed theoretically, whereby the
multiplexing gain of soft slicing is obtained. Extensive simulations are
conducted on the OMNeT++ and MATLAB platforms to validate the analytical
results. Numerical results show that the proposed soft slicing method can
enhance the IS throughput by 30% while guaranteeing the same level of CIS
content freshness and service delay.

本论文提出了一种基于服务的分层软切片框架用于具有缓存的车载网络，其中每个切片支持一项服务，资源在逻辑上被隔离但机会主义重复利用以利用多路复用增益。 研究了所提出框架的性能，并以两个典型的车载内容服务为例进行了理论分析，即时间关键的驾驶相关上下文信息服务（CIS）和带宽消耗的信息娱乐服务（IS）。 数值结果表明，所提出的软切片方法可以提高 IS 吞吐量 30％，同时保证相同级别的 CIS 内容新鲜度和服务延迟。