6G Research Thrusts

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Deeply embedded machine learning

A key novelty for 6G will be a major role for machine learning techniques at all layers in the protocol stack, from the PHY layer up to network and application layers, as well as over a wide range of spatial and temporal scales, allowing unprecedented site-specific adaptability and network automation. WNCG has had a strong core of machine learning expertise since before 2010, and has a history of deep collaborations between ML and wireless faculty, unique amongst global wireless research centers.

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Pervasive sensing

Pervasive sensing will feed hungry ML algorithms continuously tuning and reconfiguring the network, while “sensing-as-a-service” will be offered to subscribers and applications. 6G networks will not just be communications systems, but sensing networks that serve as a platform for crowd-sourced sensing; novel wireless sensing techniques will enable delightful new ways for users to interact with devices and to monitor both the users’ physical health.

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New Spectrum and Topologies

6G will unleash both new spectrum, e.g. above 100 GHz, and novel spectrum access paradigms that go well beyond the current licensed and unlicensed duopoly. 6G will make new coverage paradigms a reality, including massive LEO satellite constellations as well as self-backhauled small cell deployments, having a profound effect on global broadband coverage.

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Network Slicing and Sharing

6G network architectures will enable new revenue streams and the sharing of network and spectrum resources for a set of diverse tenets with different requirements. Building on the emerging ORAN paradigm, 6G networks will enable unprecedented openness, customization, automation, and softwarization.

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Interested in becoming a 6G@UT affiliate or want to learn more about the research center? 

Contact 6G@UT Director Jeff Andrews: email | website