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TAG: radio

A “Physical Layer Machine Learning Applications Want To See”?

Rob Calderbank of Duke University is one of those unusual academics to have spent a long time in commercial telecoms environments. Today, while he is leading Duke’s interdisciplinary work on big data, he has also recently published work on something he calls pulsones, which may contribute to a more efficient future air interface. 6GWorld caught up with him to find out more about this, and why a big data professor is worrying about radio.

Optimal energy-harvesting design for AF and DF two-way relay beamforming in 6G – Eurasip

Energy consumption is an important point which is crucial for green communications in 6G era, especially for those networks with limited life span or affected by dangerous environments where batteries are inconvenient to be changed. Therefore, energy harvesting (EH) has become a very attractive research field in recent years. In this paper, a new type of two-way EH relay beamforming system with two transceivers and many single-antenna relays is designed.

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