The 6G systems are established on Artificial Intelligence (AI) and distributed ledger such as blockchain. The training of AI requires lots of computing resources, which would raise the cost of 6G.

As current blockchain technologies are criticized for wasting computing resources, a recent paper proposes a consensus for connecting the computing resource consumed by AI training and block mining. This way, the computing efficiency in 6G systems is improved thanks to the so-called matrix multiplication calculation (MMC).

Target hash value search, based on both the traditional block header and the result of MMC, is conducted by miners.  Experiments confirmed that the suggested system salvages up to 80% computing power from pure block mining for parallel AI training.

Although the AI training demands tremendous computing resources, which is limited in most 6G devices, 6G systems are generally recognized to be established on ubiquitous Artificial Intelligence and distributed ledger such as blockchain.

Miners in Proof-of-Work (PoW) based blockchains devote massive computing power to block mining, and are widely criticized for the waste of computation. E-PoW can connect AI learning and block mining via the multiply used common computing resource.

E-PoW can salvage by up to 80% computing power from pure block mining for parallel AI training in 6G systems.