3GPP approves 161 6G use cases targeting immersive XR and sensing

The finalization of TR 22.870 provides the first concrete technical roadmap for the next decade of high-bandwidth video delivery. By codifying requirements for holographic telepresence and multi-sensorial communication, 3GPP is signaling that future streaming will move beyond flat 2D video toward spatial computing environments. For the broader ecosystem, the integration of satellite links and AI-to-AI communication suggests a shift where network intelligence and ubiquitous coverage become as critical as raw throughput. Industry strategists should now monitor the upcoming 3GPP 6G roadmap study to see how these 161 requirements translate into actual radio hardware specifications.

The 3GPP standardization timeline for 6G is converging with active vendor demonstrations of AI-native radio technologies that will underpin the use cases defined in TR 22.870. At MWC 2026, Ericsson's networks chief Per Narvinger outlined how AI models embedded in RAN link adaptation can extract roughly 10 percent additional spectrum efficiency from algorithms already optimized for three decades, positioning the company's mid-cycle 5G evolution as a bridge toward the immersive communication and hyper-reliable low-latency scenarios that TR 22.870 codifies. Narvinger explicitly framed the work as preparation for 6G while emphasizing that operators will not wait for a new generation to deploy AI-driven network improvements.

On the operator deployment side, Bell Canada and Ericsson completed the world's first field test of AI-native link adaptation in April 2025, demonstrating up to 20 percent higher downlink throughput and 10 percent improved spectral efficiency on Bell's live network. The technology executes on the baseband unit in real time, adapting to interference and poor channel conditions without requiring new hardware. AT&T followed at MWC 2026 with a demonstration of the same AI-native link adaptation running on Intel Xeon 6 SoC-based Cloud RAN infrastructure, marking the first proof that the feature is portable across hardware platforms. These trials directly validate the reliability and latency improvements that TR 22.870's 161 use cases demand for holographic telepresence and multi-sensorial XR streaming.

The technical architecture emerging from these tests aligns with 3GPP's direction on integrated AI and sensing. Ericsson's AI-native approach embeds machine learning throughout RAN sub-components rather than bolting it on as an overlay, a design philosophy that mirrors the AI-to-AI communication category within TR 22.870's six use-case pillars. Fierce Network reported that the Bell Canada trial validated the technology's ability to improve both user experience and network capacity simultaneously, a dual benefit that will be essential as 6G networks must serve both bandwidth-hungry immersive applications and mission-critical industrial workloads on shared spectrum. The progression from TR 22.870's requirements document to TR 38.914's radio specifications will determine how quickly these AI-native capabilities become mandatory rather than optional in commercial 6G deployments.