International Conference on Networks, Communications and Information Technology (CNCIT)
Joint Short-Cycle and ACE Statistics in LDPC Tanner Graphs via Fast Message Passing
Xiang Li, Xuan He
Abstract
Short cycles in Tanner graphs strongly affect the structural quality and decoding performance of low-density parity-check (LDPC) codes. Besides cycle multiplicities, the approximate cycle extrinsic message degree (ACE) is also an important indicator for characterizing short-cycle structures. This paper proposes ACE-FMPA, a fast message-passing algorithm for jointly computing short-cycle and ACE statistics in LDPC Tanner graphs. Specifically, it jointly computes, for each cycle length 2l with l ∈ [g/2, g − 1], the cycle multiplicity η2l, the minimum ACE value ξ2l, and the multiplicity ψ2l of minimum-ACE cycles. The proposed algorithm only adds constant-size ACE-state maintenance to the baseline short-cycle counting process, and thus preserves the same asymptotic complexity order. Experimental results show that ACE-FMPA provides richer structural information with limited extra running time.