
This work presents a novel low complexity decoder for turbo product codes (TPCs). The new decoder, denoted as ultra-light decoder (ULD), can perform soft decision decoding without an algebraic hard decision decoder, which is the core of conventional soft decision decoders of block codes. Moreover, the unique structure of the ULD enables the design of a new approach to compute the minimum Euclidean distance (ED) at each decoding iteration. Therefore, the ULD offers significant complexity and delay reduction as compared to conventional TPC decoders. Reducing the complexity and delay will enable using codes with high code rates to improve the system spectral efficiency, or use powerful codes with low code rates to reduce the transmission power. The system bit error rate (BER) is presented for binary and M-ary modulation schemes over additive white Gaussian noise (AWGN) channels, and the coding gain is given for Rayleigh fading channels. The obtained numerical results show that the ULD offers coding gain that is comparable to conventional TPC decoders under various system and channel conditions, but with significantly lower complexity.
error correction, Complexity theory, Decoding, soft decision decoding, Iterative decoding, Reliability, error control coding, iterative decoding, Turbo codes, Bit error rate, Encoding, Product codes, product codes, 5G, complexity reduction
error correction, Complexity theory, Decoding, soft decision decoding, Iterative decoding, Reliability, error control coding, iterative decoding, Turbo codes, Bit error rate, Encoding, Product codes, product codes, 5G, complexity reduction
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
