Peak Age of Information Analysis for Virtual Reality in Terahertz Communications

Virtual Reality (VR) is one of the new promising use cases of the next generation wireless communications which requires high-throughput, low-latency, and reliable communications. For such services, the freshness of data could be measured by the age of information (AoI) metric. In this paper, we assume indoor small-cell Terahertz communications to serve VR users. Taking into account the wave propagation characteristics of the Terahertz communications and interference modeling in the small-cell networks, average peak AoI (PAoI) is investigated to analyse downlink data transmission to the VR users. Each small base station (SBS) is modeled by two M/M/1 and M/G/1 queues; One for data processing of VR data and the other for storing and transmitting information over the Terahertz channel in presence of blockage probability. Then, the average PAoI is extended to simultaneously support multi VR users with an SBS, and for a special case of large signaling bandwidth, average PAoI is also discussed. Finally, numerical results are provided to investigate the effects of signaling bandwidth, blockage probability, cell-density, and interference coverage of SBSs on the average PAoI of the considered system.