Abstract
5G data channel is latency-sensitive and demands high throughput. The Min-Sum (MS) algorithm, known as one of the LDPC Soft-Decision decoding algorithms, is widely used with guaranteed performance. However, the MS algorithm's latency and resource consumption are non-negligible drawbacks, especially for 5G system. In this paper, different strategies for FEC (Forward Error Correction) of LDPC codes are discussed. An improved Weighted Hard-Decision algorithm is proposed targeting to reduce resource occupation and latency. The decoding process is given in detail and performance is validated via simulations. Comparing with the MS algorithm and IHD (Improved Hard-Decision) algorithm, our proposed algorithm shows its potentiality to be applied in 5G data channel. Furthermore, a test bench is launched in Cisco server using X86 chipset to identify the advantage of this proposal.
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