Tag: wireless networks

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

A new stochastic geometry framework reveals that flexible interference nulling always delivers fairer links in multi-antenna networks, but which scheme ...

Researchers have developed a hybrid Greater Cane Mayfly Algorithm that improves routing, quality of service, and resource efficiency in mobile ...

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

Researchers have developed KRF-DUNet, a tensorized semi-blind receiver that uses Khatri-Rao structure and deep algorithm unrolling to deliver lower error ...

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

Researchers have developed a federated learning-based caching scheme that predicts socially popular content and pre-positions it at the network edge ...

A new adaptive multi-task neural network called AXMLN dramatically improves radio signal detection at extremely low signal-to-noise ratios, providing a ...

Researchers have proposed a height-dependent radio-frequency power scavenging scheme that lets drone relays harvest energy from the signals they forward, ...

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