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Cloud virtual reality (VR) has emerged as a promising technology, offeringusers a highly immersive and easily accessible experience. However, the current5G radio access network faces challenges in accommodating the bursty trafficgenerated by multiple cloudVR flows simultaneously, leading to congestion atthe 5G base station and increased delays. In this research, we present acomprehensive quantitative analysis that highlights the underlying causes forthe poor delay performance of cloudVR flows within the existing 5G protocolstack and network. To address these issues, we propose a novel cross-layerinformationassisted congestion control mechanism deployed in the 5G edgenetwork. Experiment results show that our mechanism enhances the number ofconcurrent flows meeting delay standards by 1.5x to 2.5x, while maintaining asmooth network load. These findings underscore the potential of leveraging 5Gedge nodes as a valuable resource to effectively meet the anticipated demandsof future services.

Cross-Layer Assisted Early Congestion Control for Cloud VR Services in 5G Edge Network