most citedSymbol-Decision Successive Cancellation List Decoder for Polar Codes

63 citations · 166 across the 6 of their papers we have counts for

collaborators

8 papers

cs.IT2015★ 1 cited

A multi-mode area-efficient SCL polar decoder

Chenrong Xiong, Jun Lin, Zhiyuan Yan

Polar codes are of great interest since they are the first provably capacity-achieving forward error correction codes. To improve throughput and to reduce decoding latency of polar…

cs.IT2015★ 19 cited

Reduced Complexity Belief Propagation Decoders for Polar Codes

Jun Lin, Chenrong Xiong, Zhiyuan Yan

Polar codes are newly discovered capacity-achieving codes, which have attracted lots of research efforts. Polar codes can be efficiently decoded by the low-complexity successive ca…

cs.AR2015★ 58 cited

A High Throughput List Decoder Architecture for Polar Codes

Jun Lin, Chenrong Xiong, Zhiyuan Yan

While long polar codes can achieve the capacity of arbitrary binary-input discrete memoryless channels when decoded by a low complexity successive cancelation (SC) algorithm, the e…

cs.IT2015★ 63 cited

Symbol-Decision Successive Cancellation List Decoder for Polar Codes

Chenrong Xiong, Jun Lin, Zhiyuan Yan

Polar codes are of great interests because they provably achieve the capacity of both discrete and continuous memoryless channels while having an explicit construction. Most existi…

cs.IT2015★ 1 cited

Error Performance Analysis of the Symbol-Decision SC Polar Decoder

Chenrong Xiong, Jun Lin, Zhiyuan Yan

Polar codes are the first provably capacity-achieving forward error correction codes. To improve decoder throughput, the symbol-decision SC algorithm makes hard-decision for multip…

cs.IT2014★ 24 cited

Improved Iterative Hard- and Soft-Reliability Based Majority-Logic Decoding Algorithms for Non-Binary Low-Density Parity-Check Codes

Chenrong Xiong, Zhiyuan Yan

Non-binary low-density parity-check (LDPC) codes have some advantages over their binary counterparts, but unfortunately their decoding complexity is a significant challenge. The it…