Flexible IR-HARQ Scheme for Polar-Coded Modulation

توضیحات

ABSTRACT

A flexible incremental redundancy hybrid automated repeat request (IR-HARQ) scheme for polar codes is proposed based on dynamically frozen bits and the quasi-uniform puncturing (QUP) algorithm. The length of each transmission is not restricted to a power of two. It is applicable for the binary input additive white Gaussian noise (biAWGN) channel as well as higher-order modulation. Simulation results show that this scheme has similar performance as directly designed polar codes with QUP and outperforms LTE-turbo and 5G-LDPC codes with IR-HARQ.

INTRODUCTION

Many communication channels are time-varying and unknown to the transmitter. Incremental redundancy hybrid automated repeat request (IR-HARQ) as shown in Fig. 1 is a scheme that transmits additional redundancy bits until the data bits can be reconstructed. For turbo codes (such as those used in LTE), a low rate mother code is punctured with different patterns for several transmissions. The coding scheme for enhanced mobile broadband (eMBB) in 5G uses protographbased, Raptor-like LDPC codes  that allow for both flexible block length and code rate adaptation. The standard defines two base matrices that offer optimized performance for different operating  regimes.With cyclic redundancy check (CRC) outer codes and successive cancellation list (SCL) decoding , polar codes  outperform state-of-the-art turbo and LDPC codes in the short to medium length regime. Polar-coded modulation (PCM) is discussed in . The performance comparison and efficient code design methods of three polar-coded .modulation schemes are presented in  Multilevel polar coding (MLPC) with set partitioning (SP) labeling in performs best and is around 1 dB more power efficient than an AR4JA LDPC code decoded with 200 iterations. A quasi-uniform puncturing (QUP) algorithm was proposed in  to efficiently design length-flexible polar codes, i.e., polar codes .where the number of coded bits is not limited to be a power of two

Year: ۲۰۱۸

Publisher : ELSEVIER

 By : Peihong Yuan, Fabian Steiner, Tobias Prinz ,Georg Bocherer

File Information: English Language/ 6 Page / size: 136 KB

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سال : ۱۳۹۶

ناشر : ELSEVIER

کاری از : پیونگ یوان، فابیان استینر، توبیاس پرینس، گرگ بوچر

اطلاعات فایل : زبان انگلیسی / 6 صفحه / حجم : KB 136

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