This paper presents results of computer simulations and laboratory tests to investigate various digital techniques (i.e., trellis coded QAM, vestigial sideband (VSB) modulation, orthogonal frequency division multiplex...
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This paper presents results of computer simulations and laboratory tests to investigate various digital techniques (i.e., trellis coded QAM, vestigial sideband (VSB) modulation, orthogonal frequency division multiplexing (OFDM), and adaptive equalization) proposed for Advanced Television (ATV) terrestrial broadcasting. The performance of these channel coding and modulation techniques, in the presence of various interferences (i.e., Gaussian noise, ATV and NTSC co-channel interference) and in a multipath distortion environment, is evaluated and compared. The effects of ATV interference into NTSC systems are also investigated.
In this letter, a double polar code (D-Polar) for joint source and channel coding (JSCC) is proposed, in which the source compress is implemented by a polar code, the channel error correction is performed by a systema...
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In this letter, a double polar code (D-Polar) for joint source and channel coding (JSCC) is proposed, in which the source compress is implemented by a polar code, the channel error correction is performed by a systematic polar code. Furthermore, a turbo-like belief propagation (TL-BP) decoder consisted of a channel BP decoder and a source BP decoder is proposed for joint source and channel decoding in the receiver. In this TL-BP decoder, the soft information is exchanged between the channel BP decoder and the source BP decoder so as to improve the efficiency of channel decoding in utilizing the source information residual in the compressed bits. Simulation results show that the performance of the proposed D-Polar JSCC scheme with TL-BP decoder is significantly improved compared with the existing source-channel joint polarization scheme.
The tabu search approach is applied to codevector index assignment for noisy channels for the purpose of minimising the distortion due to bit errors without introducing any redundancy. Experimental results demonstrate...
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The tabu search approach is applied to codevector index assignment for noisy channels for the purpose of minimising the distortion due to bit errors without introducing any redundancy. Experimental results demonstrate the robustness of this approach compared with the standard parallel genetic algorithm and the binary switching algorithm.
Recently, a necessary and sufficient condition for multivaluedness to be implicitly exhibited by counter-cascaded systems was presented. Subsequently, several systems that exhibit multivaluedness were reported. This b...
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Recently, a necessary and sufficient condition for multivaluedness to be implicitly exhibited by counter-cascaded systems was presented. Subsequently, several systems that exhibit multivaluedness were reported. This brief interprets a general information transmission system as a counter-cascaded system with Shannon's noisy-channel coding theorem, providing a sufficient but not necessary condition for single-valuedness.
We describe hybrid automatic repeat request/ forward error correction (H-ARQ) with cross-packet channel coding which extends current H-ARQ schemes for point-to-point communications. In contrast to current H-ARQ scheme...
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We describe hybrid automatic repeat request/ forward error correction (H-ARQ) with cross-packet channel coding which extends current H-ARQ schemes for point-to-point communications. In contrast to current H-ARQ schemes, the transmission of two consecutive packets of information bits is considered jointly. If a retransmission for the first packet is necessary, we encode the first and a second packet jointly. For fading channels, this allows diversity gain from retransmissions without decreasing the total code rate. We describe an encoder and a decoder which can be decoded iteratively for a system with H-ARQ with cross-packet channel coding.
In this paper, we establish an interesting duality between two different quantum information-processing tasks, namely, classical source coding with quantum side information, and channel coding over classical-quantum c...
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In this paper, we establish an interesting duality between two different quantum information-processing tasks, namely, classical source coding with quantum side information, and channel coding over classical-quantum channels. The duality relates the optimal error exponents of these two tasks, generalizing the classical results of Ahlswede and Dueck [IEEE Trans. Inf. Theory, 28(3):430-443, 1982]. We establish duality both at the operational level and at the level of the entropic quantities characterizing these exponents. For the latter, the duality is given by an exact relation, whereas for the former, duality manifests itself in the following sense: an optimal coding strategy for one task can be used to construct an optimal coding strategy for the other task. Along the way, we derive a bound on the error exponent for classical-quantum channel coding with constant composition codes which might be of independent interest. Finally, we consider the task of variable-length classical compression with quantum side information, and a duality relation between this task and classical-quantum channel coding can also be established correspondingly. Furthermore, we study the strong converse of this task, and show that the strong converse property does not hold even in the i.i.d. scenario.
This paper provides a comprehensive survey of recent advances in deep learning (DL) techniques for channel coding problems. Inspired by the recent successes of DL in a variety of research domains, its applications to ...
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This paper provides a comprehensive survey of recent advances in deep learning (DL) techniques for channel coding problems. Inspired by the recent successes of DL in a variety of research domains, its applications to physical layer technologies have been extensively studied in recent years, and they are expected to be a potential breakthrough in supporting the emerging use cases of the next generation wireless communication systems such as 6G. In this paper, we focus exclusively on channel coding problems and review existing approaches that incorporate advanced DL techniques into code design and channel decoding. After briefly introducing the background of recent DL techniques, we categorize and summarize a variety of approaches, including model-free and model-based DL, for the design and decoding of modern error-correcting codes, such as low-density parity check (LDPC) codes and polar codes, to highlight their potential advantages and challenges. Finally, the paper concludes with a discussion of open issues and future research directions in channel coding.
Deep learning-based joint source-channel coding (JSCC) has shown excellent performance in image and feature transmission. However, the output values of the JSCC encoder are continuous, which makes the constellation of...
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Deep learning-based joint source-channel coding (JSCC) has shown excellent performance in image and feature transmission. However, the output values of the JSCC encoder are continuous, which makes the constellation of modulation complex and dense. It is hard and expensive to design radio frequency chains for transmitting such full-resolution constellation points. In this paper, two methods of mapping the full-resolution constellation to finite constellation are proposed for real system implementation. The constellation mapping results of the proposed methods correspond to regular constellation and irregular constellation, respectively. We apply the methods to existing deep JSCC models and evaluate them on AWGN channels with different signal-to-noise ratios (SNRs). Experimental results show that the proposed methods outperform the traditional uniform quadrature amplitude modulation (QAM) constellation mapping method by only adding a few additional parameters.
A novel packet scheduling algorithm for multimedia wireless ATM systems is proposed. The physical layer and packet scheduling layer are investigated. The physical layer (channel encoder) is responsible for protecting ...
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A novel packet scheduling algorithm for multimedia wireless ATM systems is proposed. The physical layer and packet scheduling layer are investigated. The physical layer (channel encoder) is responsible for protecting the ATM cells over the hostile radio channel while the ATM scheduler is responsible for allocating limited resources to the ATM cells for each virtual connection so as to meet the specified QoS requirements. The novelty of the scheme comes from the concept of joint design between the two layers. The mechanism of bi-directional interactions between the two layers is illustrated, taking into account time varying channel conditions. It is found that a significant performance improvement in the cell loss rate (CLR) and the mean cell delay (MCD) could be achieved for systems exploiting the joint design.
Previous work introduced the idea of matching network codes with network graphs to handle the network dynamics. This paper further integrates channel coding in the adaptive network coding framework through an elegant ...
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Previous work introduced the idea of matching network codes with network graphs to handle the network dynamics. This paper further integrates channel coding in the adaptive network coding framework through an elegant treatment of circulant shifting. Several code constructions are developed. Theoretical analysis and simulations show that the resultant generalized adaptive network coded cooperation (GANCC) is simple, adaptive, distributive, and capable of remarkable coding gains even with a very small number of cooperating users.
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