scholarly journals Comparative Analysis of Various Wireless Digital Modulation Techniques with different Channel Coding Schemes under AWGN Channel

2017 ◽  
Vol 161 (3) ◽  
pp. 30-34
Author(s):  
Md. Razaul ◽  
Syed Mushfiq ◽  
Md. Asif
Keyword(s):  
Comparative Analysis ◽  
Channel Coding ◽  
Digital Modulation ◽  
Coding Schemes ◽  
Awgn Channel ◽  
Modulation Techniques

Performance Analysis of Turbo Codes Over AWGN Channel

2019 ◽  
Vol 19 (1) ◽  
pp. 43-48 ◽  
Author(s):  
Mohanad Abdulhamid ◽  
Mbugua Thairu
Keyword(s):  
Error Correction ◽  
Turbo Codes ◽  
Channel Coding ◽  
Turbo Coding ◽  
The Past ◽  
Coding Schemes ◽  
Awgn Channel ◽  
Correction Technique ◽  
Simple Component ◽  
Tremendous Impact

AbstractTurbo coding is a very powerful error correction technique that has made a tremendous impact on channel coding in the past two decades. It outperforms most known coding schemes by achieving near Shannon limit error correction using simple component codes and large interleavers. This paper investigates the turbo coder in detail. It presents a design and a working model of the error correction technique using Simulink, a companion softwareto MATLAB. Finally, graphical and tabular results are presented to show that the designed turbo coder works as expected.

scholarly journals An overview of channel coding for 5G NR cellular communications

2019 ◽  
Vol 8 ◽  
Author(s):  
Jung Hyun Bae ◽  
Ahmed Abotabl ◽  
Hsien-Ping Lin ◽  
Kee-Bong Song ◽  
Jungwon Lee
Keyword(s):  
Channel Coding ◽  
Ldpc Codes ◽  
Low Latency ◽  
Polar Codes ◽  
Coding Scheme ◽  
Coding Schemes ◽  
Successive Cancellation ◽  
New Radio ◽  
Key Characteristics ◽  
User Data

AbstractA 5G new radio cellular system is characterized by three main usage scenarios of enhanced mobile broadband (eMBB), ultra-reliable and low latency communications (URLLC), and massive machine type communications, which require improved throughput, latency, and reliability compared with a 4G system. This overview paper discusses key characteristics of 5G channel coding schemes which are mainly designed for the eMBB scenario as well as for partial support of the URLLC scenario focusing on low latency. Two capacity-achieving channel coding schemes of low-density parity-check (LDPC) codes and polar codes have been adopted for 5G where the former is for user data and the latter is for control information. As a coding scheme for data, 5G LDPC codes are designed to support high throughput, a variable code rate and length and hybrid automatic repeat request in addition to good error correcting capability. 5G polar codes, as a coding scheme for control, are designed to perform well with short block length while addressing a latency issue of successive cancellation decoding.

FULL-RATE AND LOW-COMPLEXITY SPACE-TIME BLOCK CODING CONCATENATED WITH CHANNEL CODES

2007 ◽  
Vol 06 (01) ◽  
pp. 5-14 ◽  
Author(s):  
XIANGBIN YU ◽  
GUANGGUO BI
Keyword(s):  
Channel Coding ◽  
Turbo Code ◽  
Multiple Antennas ◽  
Low Complexity ◽  
Space Time ◽  
System Throughput ◽  
Time Block ◽  
Coding Schemes ◽  
Full Diversity ◽  
Full Rate

Space-time block (STB) coding has been an effective transmit diversity technique for combating fading recently. In this paper, a full-rate and low-complexity STB coding scheme with complex orthogonal design for multiple antennas is proposed, and turbo code is employed as channel coding to improve the proposed code scheme performance further. Compared with full-diversity multiple antennas STB coding schemes, the proposed scheme can implement full data rate, partial diversity and a smaller complexity, and has more spatial redundancy information. Moreover, using the proposed scheme can form efficient spatial interleaving, thus performance loss due to partial diversity is effectively compensated by the concatenation of turbo coding. Simulation results show that on the condition of the same system throughput and concatenation of turbo code, the proposed scheme has lower bit error rate (BER) than those low-rate and full-diversity multiple antennas STB coding schemes.

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