A hybrid digital-analog wireless image transmission scheme, called SparseCast, is introduced, which provides graceful degradation with channel quality. SparseCast achieves improved end-to-end reconstruction quality wh...
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A hybrid digital-analog wireless image transmission scheme, called SparseCast, is introduced, which provides graceful degradation with channel quality. SparseCast achieves improved end-to-end reconstruction quality while reducing the bandwidth requirement by exploiting frequency-domain sparsity through compressed sensing. The proposed algorithm produces a linear relationship between the channel signal-to-noise ratio and peak signal-to-noise ratio (PSNR) without requiring the channel state knowledge at the transmitter. This is particularly attractive when transmitting to multiple receivers or over unknown time-varying channels, as the receiver PSNR depends on the experienced channel quality and is not bottlenecked by the worst channel. SparseCast is benchmarked against two alternative algorithms: SoftCast and block CS-smooth projected Landweber (BCS-SPL). Our findings show that the proposed algorithm outperforms SoftCast by approximately 3.5 dB and BCS-SPL by 15.2 dB.
We consider the problem of joint source-channel coding for transmitting K samples of a complex Gaussian source over T = bK uses of a block-fading multiple-input multiple-output (MIMO) channel with M transmit and N rec...
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We consider the problem of joint source-channel coding for transmitting K samples of a complex Gaussian source over T = bK uses of a block-fading multiple-input multiple-output (MIMO) channel with M transmit and N receive antennas. We consider the case when we are allowed to code over L blocks. The channel gain is assumed to be constant over a block and channel gains for different blocks are assumed to be independent. The performance measure of interest is the rate of decay of the expected mean-squared error with the signal-to-noise ratio (SNR), called the distortion SNR exponent. We first show that using a broadcast strategy similar to that of Gunduz and Erkip, but with a different power and rate allocation policy, the optimal distortion SNR exponent can be achieved for 0 <= b < (vertical bar N - M vertical bar + 1) / min (M, N) and for b > MNL2. This is the first time the optimal exponent is characterized for 1/ min(M, N) < b < (vertical bar N - M vertical bar + 1)/ min(M, N). Then, we propose a digital layered transmission scheme that uses both time layering and superposition. The new scheme is at least as good as currently known schemes for the entire range of bandwidth expansion factors b, whereas at least for some M, N, and b, it is strictly better than the currently known schemes.
A novel jointsourcechannel-coding technique called source-adaptive power allocation is introduced for the transmission of continuous-amplitude waveform source samples over a noisy channel. Starting from a binary or ...
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A novel jointsourcechannel-coding technique called source-adaptive power allocation is introduced for the transmission of continuous-amplitude waveform source samples over a noisy channel. Starting from a binary or quaternary digital Modulation scheme we apply a power control, which depends on the uniquantized source samples, to the modulation signal points before they are transmitted over the channel. The resulting system shows strongly superior performance compared with conventional schemes.
Index assignment (IA) is a low-complexity joint source-channel coding technique that has the potential for use in low-latency and low-power applications, such as wireless sensor networks (WSNs). Though binary IA has b...
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Index assignment (IA) is a low-complexity joint source-channel coding technique that has the potential for use in low-latency and low-power applications, such as wireless sensor networks (WSNs). Though binary IA has been extensively studied for assigning binary indices to quantized codewords (or symbols) under the assumption of binary symmetric channels (BSCs), real-world scenarios often use M-ary modulations. Directly applying binary IAs designed for BSCs to M-ary modulations results in suboptimal performance. In this paper, we investigate the M-ary IA, which assigns M-ary labels to quantized codewords (or symbols), assuming the use of a equiprobable lattice quantizer. For such a system, we derive a tight performance bound and propose a near-optimal IA scheme based on a two-step design. In addition, we propose explicit IA constructions for practical modulation schemes, including PAM, QAM, and PSK. Our proposed IA design is rigorously proven to be optimal for 3-PSK and QPSK, whereas for larger modulation orders, the proposed IA constructions approach the bounds within small gaps. Our simulations show that the constructed IA scheme can achieve significant energy savings compared to the conventional binary IA scheme. Specifically, in some WSN scenarios, the proposed IA for 16-QAM is shown to achieve significant reductions in energy consumption relative to the conventional binary counterpart.
A joint source-channel coding system for transmitting speech on a bandlimited additive white Gaussian noise (AWGN) channel is presented. The proposed method uses a hybrid of digital and analog modulation techniques. T...
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A joint source-channel coding system for transmitting speech on a bandlimited additive white Gaussian noise (AWGN) channel is presented. The proposed method uses a hybrid of digital and analog modulation techniques. The digital part of the system consists of a Federal Standard 1016 Code-Excited Linear Predictive (FS 1016 CELP) speech coder followed by a rate-3/5 parallel concatenated (turbo) error correcting code. The analog part, which transmits the quantization error due to the FS 1016 CELP coder, consists of a linear encoder and decoder. The advantage of the proposed system is that it achieves excellent rate-distortion/capacity performance that is common in digital systems while maintaining a "graceful degradation" characteristic that is common in analog systems. Comparisons are made with three purely digital systems and an analog system-with all systems operating at the same overall rate. A formal listening test shows that, at high channel SNR, the improved performance of the proposed hybrid system (versus the purely digital systems) is noticeable to the average listener. Finally, an informal listening test indicates that at low channel SNR (where the error correcting code breaks down) the decoded speech of the hybrid system is still intelligible.
We illustrate how channel optimized vector quantization (COVQ) can be used for channels with both bit-errors and bit-erasures. First, a memoryless channel model is presented, and the performance of COVQ's trained ...
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We illustrate how channel optimized vector quantization (COVQ) can be used for channels with both bit-errors and bit-erasures. First, a memoryless channel model is presented, and the performance of COVQ's trained for this channel is evaluated for an i.i.d. Gaussian source. Then, the new method is applied in implementing an error-robust sub-band image coder, and we present image results that illustrate the resulting performance. Our experiments show that the new approach is able to outperform a traditional scheme based on separate source and channelcoding.
We design a channel optimized vector quantizer (COVQ) for symbol-by-symbol maximum a posteriori (MAP) hard-decision demodulated channels. The main objective is to exploit the non-uniformity of the indices representing...
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We design a channel optimized vector quantizer (COVQ) for symbol-by-symbol maximum a posteriori (MAP) hard-decision demodulated channels. The main objective is to exploit the non-uniformity of the indices representing the quantized source via the MAP decoder and iteratively optimize the overall discrete channel (at the symbol level) jointly with the quantizer. We consider memoryless Gaussian and Gauss-Markov sources transmitted over a binary phase-shift keying modulated Rayleigh fading channel. Our scheme has less encoding computational and storage complexity (particularly for noisy channel conditions) than both conventional and soft-decision COVQ systems, which use hard-decision and soft-decision maximum likelihood demodulation, respectively. Furthermore, it provides a notable signal-to-distortion ratio gain over the former system, and in some cases it matches or outperforms the latter one.
In this paper, to achieve an unequal message protection (UMP), we propose a type-aware coding approach. The proposed approach can be used to construct a UMP code with multiple classes of messages, and can also be empl...
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In this paper, to achieve an unequal message protection (UMP), we propose a type-aware coding approach. The proposed approach can be used to construct a UMP code with multiple classes of messages, and can also be employed as a finite-length joint source-channel coding (JSCC) where the source statistics is not required at the transmitter. At the transmitter, an information bit sequence is first encoded using a fixed-to-fixed-length type-aware description and then encoded by a given linear block code along with a "free-ride "approach. At the receiver, a type-search decoding algorithm is employed. Numerical results show that, 1) As a UMP coding, the type-aware coding can provide more protection for biased binary sequences;2) As a finite-length JSCC, the type-aware coding can improve the average error performance for biased sources over the distribution-aware decoding. (c) 2022 Elsevier B.V. All rights reserved.
Most existing unequal loss protection (ULP) schemes do not consider the minimum quality requirement and usually have high computation complexity. In this research, we propose a layered ULP (L-ULP) scheme to solve thes...
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Most existing unequal loss protection (ULP) schemes do not consider the minimum quality requirement and usually have high computation complexity. In this research, we propose a layered ULP (L-ULP) scheme to solve these problems. In particular, we use the rate-based optimal solution with a local search to find the average forward error correction (FEC) allocation and use the gradient search to find the FEC solution for each layer. Experimental results show that the executing time of L-ULP is much faster than the traditional ULP scheme but the average distortion is worse. Therefore, we further propose to combine the L-ULP with the pre-interleaving to have an improved L-ULP (IL-ULP) system. By using the pre-interleaving, we are able to delay the occurrence of the first unrecoverable loss in the source bitstream and thus improve the loss resilience performance. With the better loss resilience performance in the source bitstream, our proposed IL-ULP scheme is allowed to have a weaker FEC protection and allocate more bits to the sourcecoding which leads to the improvement of overall performance. Experimental results show that our proposed IL-ULP scheme even outperforms the global optimal result obtained by any traditional ULP scheme while the complexity of IL-ULP is almost the same as L-ULP.
A robust progressive image transmission scheme over broadband wireless fading channels is developed for 4th generation wireless communication systems (4G) in this paper. The proposed scheme is based on space-time bl...
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A robust progressive image transmission scheme over broadband wireless fading channels is developed for 4th generation wireless communication systems (4G) in this paper. The proposed scheme is based on space-time block coded orthogonal frequency-division multiplexing (OFDM) with 4 transmit antennas and 2 receive antennas and uses a simplified minimum mean square error (MMSE) detector instead of maximum likelihood (ML) detectors. Considering DCT is simpler and more widely applied in the industry than wavelet transforms, a progressive image compression method based on DCT called mean-subtract embedded DCT (MSEDCT) is developed, with a simple mean-subtract method for the redundancy of reorganized DC blocks in addition to a structure similar to the embedded zerotree wavelet coding (EZW) method. Then after analyzing and testing bit importance of the progressive MSEDCT bitstreams, the layered unequal error protection method of jointsource-channels coding based on Reed-Solomon (RS) codes is used to protect different parts of bitstreams, providing different QoS assurances and good flexibility. Simulation experiments show our proposed scheme can effectively degrade fading effects and obtain better image transmission effects with 10 -20 dB average peak-sig- nal-noise-ratio (PSNR) gains at the median Eb/No than those schemes without space-time coded OFDM or equal error protections with space-time coded OFDM.
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