论文标题

元评估中语义通信的虚拟运输网络的随机资源分配

Stochastic Resource Allocation for Semantic Communication-aided Virtual Transportation Networks in the Metaverse

论文作者

Ng, Wei Chong, Du, Hongyang, Lim, Wei Yang Bryan, Xiong, Zehui, Niyato, Dusit, Miao, Chunyan

论文摘要

生理虚拟的世界同步以开发元元,将需要大量的数据传输和交换。在本文中,我们引入了语义沟通,以开发元元中虚拟运输网络。利用边缘设备的感知功能,虚拟服务提供商(VSP)可以订阅其首选的边缘设备以接收感兴趣的语义数据。但是,VSP的需求高度依赖于他们所服务的用户。为了解决随机用户需求的资源分配问题,我们建议基于两阶段随机整数编程的随机语义传输方案(SSTS)。使用我们在新加坡部署的边缘设备捕获的实际数据,模拟结果表明,SST可以在考虑用户需求不确定性的同时最大程度地降低VSP的传输成本。

The physical-virtual world synchronization to develop the Metaverse will require a massive transmission and exchange of data. In this paper, we introduce semantic communication for the development of virtual transportation networks in the Metaverse. Leveraging the perception capabilities of edge devices, virtual service providers (VSPs) can subscribe to their preferred edge devices to receive the semantic data of interest. However, the demands of the VSPs are highly dependent on the users that they are serving. To address the resource allocation problem amid stochastic user demand, we propose a stochastic semantic transmission scheme (SSTS) based on two-stage stochastic integer programming. Using real data captured by edge devices we deploy in Singapore, the simulation results show that SSTS can minimize the transmission cost of the VSPs while accounting for the users' demand uncertainties.

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