Name: Partition Optimization in LDPC-Coded OFDM Systems With PTS PAPR Reduction
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Partition Optimization in LDPC-Coded OFDM
Systems With PTS PAPR Reduction

Abstract? Partition Optimization in LDPC-Coded OFDM Systems With PTS PAPR Reduction. A joint decoding scheme was proposed by Li and Qu to recover low-density parity-check (LDPC) codeword and partial transmit sequence (PTS) phase factors, for OFDM systems with a low peak-toaverage power ratio (PAPR). However, the error-correcting performance of the joint decoding scheme heavily relies on how the OFDM subcarriers are partitioned into groups in the PTS scheme. With a pseudorandom partition, the joint decoding scheme provides satisfactory error-correcting performance only when the number of PTS groups is very small. In this aper, we formulate an optimization problem to improve the < Final Year Projects 2016 > joint decoding performance by optimizing the partition. Furthermore, two greedy-based algorithms are proposed to solve the problem. Simulation results show that the joint decoding scheme with the proposed partition algorithms provides satisfactory error-correcting performance for a larger number of PTS groups than it does with the pseudorandom partition. With the improved performance, better PAPR performance can be supported.

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