Priority-based bit mapping assigns critical XR and video data to reliable polar channels, improving decoding of perceptually important bits.
Neural network encoding and decoding improve wireless capacity and reliability for low-latency broadband and massive machine communications.
Shift XOR check packets encode coefficient information through packet length differences, cutting header overhead and improving spectrum use.
Modified Huffman coding plus padding bridges low-entropy signaling and fixed-length channel codes for more efficient wireless transmission.
Interleaving-based bit set determination lets polar encoders and decoders adapt to transmission conditions without heavy offline tables.
By splitting a transport block and adding per-block checks, erroneous list-decoding paths can stop early to cut complexity and improve block error rate.
By splitting a transport block into CRC-tagged data blocks, erroneous list-decoding paths can be rejected early to cut load and improve reliability.
Segmented CRC and parity bits let 5G list decoders reject erroneous paths early, cutting error probability and decoding load.