scholarly journals Performance Analysis of Coherent Atmospheric Optical Communications with Soft-Decision Forward Error Correction

2013 ◽  
Vol 347-350 ◽  
pp. 1856-1859
Author(s):  
Jin Jing Tao ◽  
Jin Nan Zhang ◽  
Yang An Zhang ◽  
Yong Qing Huang ◽  
Xue Guang Yuan ◽  
...  
Keyword(s):  
Forward Error Correction ◽  
Ldpc Codes ◽  
Ldpc Code ◽  
Coherent Detection ◽  
Heterodyne Detection ◽  
Soft Decision ◽  
Power Requirement ◽  
Received Power ◽  
Forward Error ◽  
Atmospheric Channel

Performance of coherent atmospheric optical communication system with heterodyne detection and LDPC codes was evaluated over atmospheric channel attenuations of which are about 20-30 dB/km. To reduce bit error and enhance the system performance LDPC code was implemented in system. Combining coherent detection and LDPC codes could reduce the received power requirement ~4 dBm at the BER of 10-9.

scholarly journals Energy Efficiency of a Decode-and-Forward Multiple-Relay Network with Rate Adaptive LDPC Codes

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4793 ◽  
Author(s):  
Bushra Bashir Chaoudhry ◽  
Syed Ali Hassan ◽  
Joachim Speidel ◽  
Haejoon Jung
Keyword(s):  
Energy Efficiency ◽  
Channel Coding ◽  
Forward Error Correction ◽  
Ldpc Codes ◽  
Maximum Energy ◽  
Cooperative Transmission ◽  
Relay Network ◽  
Decode And Forward ◽  
Forward Error ◽  
Multiple Relay

This paper presents cooperative transmission (CT), where multiple relays are used to achieve array and diversity gains, as an enabling technology for Internet of Things (IoT) networks with hardware-limited devices. We investigate a channel coding aided decode-and-forward (DF) relaying network, considering a two-hop multiple-relay network, where the data transmission between the source and the destination is realized with the help of DF relays. Low density parity check (LDPC) codes are adopted as forward error correction (FEC) codes to encode and decode the data both at the source and relays. We consider both fixed and variable code rates depending upon the quality-of-service (QoS) provisioning such as spectral efficiency and maximum energy efficiency. Furthermore, an optimal power allocation scheme is studied for the cooperative system under the energy efficiency constraint. We present the simulation results of our proposed scheme, compared with conventional methods, which show that if decoupled code rates are used on both hops then a trade-off has to be maintained between system complexity, transmission delay, and bit error rate (BER).

Soft-Decision-Based Forward Error Correction for 100 Gb/s Transport Systems

2010 ◽  
Vol 16 (5) ◽  
pp. 1258-1267 ◽  
Author(s):  
Kiyoshi Onohara ◽  
Takashi Sugihara ◽  
Yoshiaki Konishi ◽  
Yoshikuni Miyata ◽  
Tomoka Inoue ◽  
...  
Keyword(s):  
Error Correction ◽  
Forward Error Correction ◽  
Transport Systems ◽  
Soft Decision ◽  
Forward Error

A receiver with iterative soft decision and forward error correction

2000 ◽  
Vol 83 (9) ◽  
pp. 76-85
Author(s):  
Takayuki Nagayasu ◽  
Hiroshi Kubo ◽  
Keishi Murakami ◽  
Tadashi Fujino ◽  
Norihiko Morinaga
Keyword(s):  
Error Correction ◽  
Forward Error Correction ◽  
Soft Decision ◽  
Forward Error

scholarly journals Optimized Polar Codes as Forward Error Correction Coding for Digital Video Broadcasting Systems

Electronics ◽  
2021 ◽  
Vol 10 (17) ◽  
pp. 2152
Author(s):  
Karim El-Abbasy ◽  
Ramy Taki Eldin ◽  
Salwa El Ramly ◽  
Bassant Abdelhamid
Keyword(s):  
Error Correction ◽  
Forward Error Correction ◽  
Digital Video ◽  
Ldpc Codes ◽  
Polar Codes ◽  
Optimized Design ◽  
Digital Video Broadcasting ◽  
Design Point ◽  
Video Broadcasting ◽  
Forward Error

Polar codes are featured by their low encoding/decoding complexity for symmetric binary input-discrete memoryless channels. Recently, flexible generic Successive Cancellation List (SCL) decoders for polar codes were proposed to provide different throughput, latency, and decoding performances. In this paper, we propose to use polar codes with flexible fast-adaptive SCL decoders in Digital Video Broadcasting (DVB) systems to meet the growing demand for more bitrates. In addition, they can provide more interactive services with less latency and more throughput. First, we start with the construction of polar codes and propose a new mathematical relation to get the optimized design point for the polar code. We prove that our optimized design point is too close to the one that achieves minimum Bit Error Rate (BER). Then, we compare the performance of polar and Low-Density Parity Check (LDPC) codes in terms of BER, encoder/decoder latencies, and throughput. The results show that both channel coding techniques have comparable BER. However, polar codes are superior to LDPC in terms of decoding latency, and system throughput. Finally, we present the possible performance enhancement of DVB systems in terms of decoding latency and complexity when using optimized polar codes as a Forward Error Correction (FEC) technique instead of Bose Chaudhuri Hocquenghem (BCH) and LDPC codes that are currently adopted in DVB standards.

Efficient Discrete Simulation of Coded Wireless Communication Systems

2010 ◽  
pp. 143-177 ◽  
Author(s):  
Pedro J.A. Sebastião ◽  
Francisco A.B. Cercas ◽  
Adolfo V.T. Cartaxo
Keyword(s):  
Wireless Communication ◽  
Communication Systems ◽  
Forward Error Correction ◽  
Channel Model ◽  
Additive White Gaussian Noise ◽  
Simulation Method ◽  
Potential Range ◽  
Soft Decision ◽  
Bit Error Ratio ◽  
Forward Error

Simulation can be a valuable tool for wireless communication system’s (WCS) designers to assess the performance of its radio interface. It is common to use the Monte Carlo simulation method (MCSM), although this is quite time inefficient, especially when it involves forward error correction (FEC) with very low bit error ratio (BER). New techniques were developed to efficiently evaluate the performance of the new class of TCH (Tomlinson, Cercas, Hughes) codes in an additive white Gaussian noise (AWGN) channel, due to their potential range of applications. These techniques were previously applied using a satellite channel model developed by Lutz with very good results. In this chapter, we present a simulation method, named accelerated simulation method (ASM), that provides a high degree of efficiency and accuracy, namely for lower BER, where the application of methods like the MCSM is prohibitive, due to high computational and time requirements. The present work generalizes the application of the ASM to a WCS modelled as a stochastic discrete channel model, considering a real channel, where there are several random effects that result in random energy fluctuations of the received symbols. The performance of the coded WCS is assessed efficiently, with soft-decision (SD) and hard-decision (HD) decoding. We show that this new method already achieves a time efficiency of two or three orders of magnitude for SD and HD, considering a BER = 1x10-4 , when compared to MCSM. The presented performance results are compared with the MCSM, to check its accuracy.

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