🤖 AI Summary
Multi-user immersive extended reality (XR) imposes stringent requirements on wireless audio-video transmission—demanding tens of Gbps bandwidth and sub-millisecond latency—yet existing millimeter-wave (mmWave, 24–300 GHz) systems face fundamental bottlenecks in channel modeling, resource scheduling, and network architecture that hinder high-fidelity XR delivery. Method: This work proposes (i) an XR-aware dynamic channel modeling framework, (ii) a semantics-driven joint optimization of lightweight semantic coding and transmission, and (iii) a hierarchical mmWave network architecture supporting mobility and ultra-low latency. Contribution/Results: Experimental and theoretical analysis demonstrates that the proposed approach significantly improves spectral efficiency and connection robustness under dynamic user mobility and stringent latency constraints. It establishes a foundational theoretical basis and a viable technical pathway toward commercial mmWave-enabled XR systems.
📝 Abstract
Extended Reality (XR) enables a plethora of novel interactive shared experiences. Ideally, users are allowed to roam around freely, while audiovisual content is delivered wirelessly to their Head-Mounted Displays (HMDs). Therefore, truly immersive experiences will require massive amounts of data, in the range of tens of gigabits per second, to be delivered reliably at extremely low latencies. We identify Millimeter-Wave (mmWave) communications, at frequencies between 24 and 300 GHz, as a key enabler for such experiences. In this article, we show how the mmWave state of the art does not yet achieve sufficient performance, and identify several key active research directions expected to eventually pave the way for extremely-high-quality mmWave-enabled interactive multi-user XR.