An unequal error protection scheme for non-binary LDPC using statistical QAM and prioritized mapping

M. Indoonundon, T. Pawan
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Abstract

Low Density Parity Check (LDPC) codes are among the most popular channel codes used nowadays because of their ability to achieve near channel capacity performances. However, with the ever-increasing demand for reliable transmission of data at higher data rates, there is a need to narrow down the gap between the performance of LDPC codes and the channel capacity. LDPC codes and Quadrature Amplitude Modulation (QAM) have been widely deployed in wireless communication standards such as the IEEE 802.11n and Digital Video Broadcasting-Second Generation Terrestrial (DVB-T2). Recently, several Unequal Error Protection (UEP) schemes have been used to enhance the performance of LDPC codes. In this paper an UEP scheme is proposed for NonBinary LDPC codes with QAM. The scheme uses the statistical distribution of the source symbols to obtain a more efficient statistical QAM constellation. Additionally, it uses the degree distribution of the nodes of the LDPC codeword to achieve prioritized QAM mapping. Simulations revealed that the proposed scheme can provide Eb/N0 gains of up to 0.78 dB and 1.24 dB with 16-QAM and 64-QAM respectively in the range BER≤10.
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基于统计QAM和优先映射的非二进制LDPC不等错误保护方案
低密度奇偶校验(LDPC)码是目前使用最广泛的信道码之一,因为它们能够实现接近信道容量的性能。然而,随着以更高的数据速率可靠传输数据的需求不断增加,需要缩小LDPC码的性能与信道容量之间的差距。LDPC码和正交调幅(QAM)已广泛应用于IEEE 802.11n和第二代地面数字视频广播(DVB-T2)等无线通信标准中。近年来,为了提高LDPC码的性能,提出了几种不等错误保护(UEP)方案。本文提出了一种带QAM的非二进制LDPC码的UEP方案。该方案利用源符号的统计分布来获得更有效的统计QAM星座。此外,它利用LDPC码字节点的度分布实现了优先级QAM映射。仿真结果表明,在BER≤10的范围内,采用16-QAM和64-QAM分别可获得0.78 dB和1.24 dB的增益。
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来源期刊
Serbian Journal of Electrical Engineering
Serbian Journal of Electrical Engineering Energy-Energy Engineering and Power Technology
CiteScore
1.30
自引率
0.00%
发文量
16
审稿时长
25 weeks
期刊介绍: The main aims of the Journal are to publish peer review papers giving results of the fundamental and applied research in the field of electrical engineering. The Journal covers a wide scope of problems in the following scientific fields: Applied and Theoretical Electromagnetics, Instrumentation and Measurement, Power Engineering, Power Systems, Electrical Machines, Electrical Drives, Electronics, Telecommunications, Computer Engineering, Automatic Control and Systems, Mechatronics, Electrical Materials, Information Technologies, Engineering Mathematics, etc.
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