scholarly journals Achievable Information Rates for Probabilistic Amplitude Shaping: An Alternative Approach via Random Sign-Coding Arguments

Entropy ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. 762
Author(s):  
Yunus Can Gültekin ◽  
Alex Alvarado ◽  
Frans M. J. Willems
Keyword(s):  
Optical Communications ◽  
Channel Coding ◽  
Additive White Gaussian Noise ◽  
Coded Modulation ◽  
Random Code ◽  
Information Rates ◽  
Error Exponent ◽  
Random Sign ◽  
Constellation Shaping ◽  
Alternative Approach

Probabilistic amplitude shaping (PAS) is a coded modulation strategy in which constellation shaping and channel coding are combined. PAS has attracted considerable attention in both wireless and optical communications. Achievable information rates (AIRs) of PAS have been investigated in the literature using Gallager’s error exponent approach. In particular, it has been shown that PAS achieves the capacity of the additive white Gaussian noise channel (Böcherer, 2018). In this work, we revisit the capacity-achieving property of PAS and derive AIRs using weak typicality. Our objective is to provide alternative proofs based on random sign-coding arguments that are as constructive as possible. Accordingly, in our proofs, only some signs of the channel inputs are drawn from a random code, while the remaining signs and amplitudes are produced constructively. We consider both symbol-metric and bit-metric decoding.

A Novel Turbo Coded Modulation Scheme for Deep Space Optical Communications

2010 ◽  
Vol E93.B (5) ◽  
pp. 1260-1263 ◽  
Author(s):  
Sangmok OH ◽  
Inho HWANG ◽  
Adrish BANERJEE ◽  
Jeong Woo LEE
Keyword(s):  
Optical Communications ◽  
Coded Modulation ◽  
Modulation Scheme ◽  
Deep Space ◽  
Turbo Coded Modulation

scholarly journals Higher performance and lower complexity turbo decoding scheme for 4G-LTE using unpunctured turbo trellis-coded modulation

2020 ◽  
Vol 18 (1) ◽  
pp. 351
Author(s):  
Elarbi Abderraouf ◽  
Abdesselam Bassou ◽  
Mohamed Rida Lahcene Rida Lahcene
Keyword(s):  
Mobile Networks ◽  
Channel Coding ◽  
Iterative Decoding ◽  
High Efficiency ◽  
Turbo Code ◽  
Mobile Network ◽  
Coded Modulation ◽  
Mobile Technologies ◽  
Trellis Coded Modulation ◽  
Trellis Coded

<p>Thanks to the success of smart phones and mobile-ready laptops, data traffic has recently grown exponentially, and the demand for mobile data has risen very dramatically. These requests in large capacity can only be satisfied by a high efficiency and a very good optimization of the infrastructures of the mobile networks, while taking into account the constraints which are the power, bandwidth and a limited complexity. The task of developing mobile technologies has also evolved from a national or regional focus to a complex and growing mission, supported by global standards development organizations such as 3GPP (3rd Group Partnership Project). Through this research, we present everything related to the simulation of the 4G mobile network system (LTE), which can provide high data flow with good quality, through three model channels known as (EPA, EVA, ETU). In this work we focus on the block ‘iterative decoding channel encoder’ in the LTE system, where the iterative channel coding called ‘Turbo-code’ (TC) is substituted by the iterative coding channel called ‘Unpunctured Turbo Trellis-coded Modulation’ (UTTCM). The simulation results showed that with less decoding complexities, UTTCM's LTE system gives good performance (in terms of BER).</p>

A Coded Modulation Scheme for Deep-Space Optical Communications

2008 ◽  
Vol 20 (5) ◽  
pp. 372-374 ◽  
Author(s):  
Ying Tan ◽  
Jian-zhong Guo ◽  
Yong Ai ◽  
Wei Liu ◽  
Yu-Jie Fei
Keyword(s):  
Optical Communications ◽  
Coded Modulation ◽  
Modulation Scheme ◽  
Deep Space

scholarly journals Transmission of Still Images Using Low-Complexity Analog Joint Source-Channel Coding

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2932 ◽  
Author(s):  
Jose Balsa ◽  
Tomás Domínguez-Bolaño ◽  
Óscar Fresnedo ◽  
José A. García-Naya ◽  
Luis Castedo
Keyword(s):  
Channel Coding ◽  
Additive White Gaussian Noise ◽  
Structural Similarity ◽  
Low Complexity ◽  
Surveillance Systems ◽  
Still Images ◽  
Joint Source Channel Coding ◽  
Visual Degradation ◽  
Time Required ◽  
Source Channel Coding

An analog joint source-channel coding (JSCC) system designed for the transmission of still images is proposed and its performance is compared to that of two digital alternatives which differ in the source encoding operation: Joint Photographic Experts Group (JPEG) and JPEG without entropy coding (JPEGw/oEC), respectively, both relying on an optimized channel encoder–modulator tandem. Apart from a visual comparison, the figures of merit considered in the assessment are the structural similarity (SSIM) index and the time required to transmit an image through additive white Gaussian noise (AWGN) and Rayleigh channels. This work shows that the proposed analog system exhibits a performance similar to that of the digital scheme based on JPEG compression with a noticeable better visual degradation to the human eye, a lower computational complexity, and a negligible delay. These results confirm the suitability of analog JSCC for the transmission of still images in scenarios with severe constraints on power consumption, computational capabilities, and for real-time applications. For these reasons the proposed system is a good candidate for surveillance systems, low-constrained devices, Internet of things (IoT) applications, etc.

scholarly journals Two-Stage Coded Modulation for Hurwitz Constellations in Fiber-Optical Communications

2020 ◽  
Vol 38 (12) ◽  
pp. 3135-3146
Author(s):  
Felix Frey ◽  
Sebastian Stern ◽  
Johannes K. Fischer ◽  
Robert F. H. Fischer
Keyword(s):  
Optical Communications ◽  
Coded Modulation ◽  
Two Stage ◽  
Fiber Optical ◽  
Fiber Optical Communications
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