Tag: 6G

A new survey argues that in 6G networks, machine learning must contend with its own feedback loops, non-stationary data, and ...

A hybrid RNN-MMSE detection framework achieves signal-to-noise ratio gains of up to 9-10 dB and spectral leakage below -130 dB/Hz ...

Researchers have combined a digital twin simulation platform with federated multi-agent reinforcement learning to optimize resource allocation across satellite, UAV, ...

Researchers have built a packaged self-injection-locked Kerr microcomb that generates ultra-low-noise terahertz carriers and demonstrated high-speed 64-QAM wireless transmission along ...

Researchers have combined layer-aware optimization of stacked intelligent metasurfaces with quantum-enhanced reinforcement learning to achieve faster-converging beamforming that lowers sensing ...

Researchers outline how reflection from surfaces and controlled transmission through materials can sustain terahertz communication links when the direct path ...

Interviews with German clinicians and medtech stakeholders reveal that the success of 6G in hospitals will hinge on interoperability, reliability, ...

Researchers at Harbin Engineering University have developed a dual-stream semantic communication framework that lets embodied AI agents preserve both visual ...

Researchers have unveiled a robust transmission design that combines intelligent reflecting surfaces, wireless power transfer, full-duplex operation and NOMA to ...