Augmented reality multi-view video scheduling under vehicle-pedestrian situations

It can be very challenging to guarantee video applications with strict Quality-of-Service (QoS) for bandwidth limited wireless small cell networks. Augmented-Reality Multi-view-video (ARM), with the characteristics of 1) virtual video integrated by augmented reality technology and 2) multiple video streams captured by multiple cameras, can not only enrich video experience but provide changeable viewpoints. To eliminate redundant Overlapping Frames (OFs) and common virtual parts, this paper develops an Overlapping-Reduced Augmented-Reality Multi-view-video (ORARM) architecture for ARM. Furthermore, for guaranteeing the required QoS in small cell networks, we propose a novel network architecture named Hybrid-Unicasting-Multicasting Device-to-device (HUMD). After that, with the aim of minimizing small cells bandwidth consumption, we formulate a problem under the HUMD architecture. Then, a low-complexity resource scheduling scheme named Offloading Traffic Scheduling (OTS) is then proposed. The obtained evaluation have demonstrated that OTS can achieve better bandwidth saving performance than that of the conventional solutions.