This paper investigates the problem of source-channelcoding for secure transmission with arbitrarily correlated side informations at both receivers. This scenario consists of an encoder (referred to as Alice) that wi...
详细信息
This paper investigates the problem of source-channelcoding for secure transmission with arbitrarily correlated side informations at both receivers. This scenario consists of an encoder (referred to as Alice) that wishes to compress a source and send it through a noisy channel to a legitimate receiver (referred to as Bob). In this context, Alice must simultaneously satisfy the desired requirements on the distortion level at Bob and the equivocation rate at the eavesdropper (referred to as Eve). This setting can be seen as a generalization of the problems of secure sourcecoding with (uncoded) side information at the decoders and the wiretap channel. A general outer bound on the rate-distortion-equivocation region, as well as an inner bound based on a pure digital scheme, is derived for arbitrary channels and side informations. In some special cases of interest, it is proved that this digital scheme is optimal and that separation holds. However, it is also shown through a simple counter-example with a binary source that a pure analog scheme can outperform the digital one while being optimal. According to these observations and assuming matched bandwidth, a novel hybrid digital/analog scheme that aims to gather the advantages of both digital and analog ones is then presented. In the quadratic Gaussian setup when side information is only present at the eavesdropper, this strategy is proved to be optimal. Furthermore, it outperforms both digital and analog schemes and cannot be achieved via time-sharing. Through an appropriate coding, the presence of any statistical difference among the side informations, the channel noises, and the distortion at Bob can be fully exploited in terms of secrecy.
We study the transmission of a memoryless bivariate Gaussian source over an average-power-constrained one-to-two Gaussian broadcast channel. The transmitter observes the source and describes it to the two receivers by...
详细信息
We study the transmission of a memoryless bivariate Gaussian source over an average-power-constrained one-to-two Gaussian broadcast channel. The transmitter observes the source and describes it to the two receivers by means of an average-power-constrained signal. Each receiver observes the transmitted signal corrupted by a different additive white Gaussian noise and wishes to estimate the source component intended for it: Receiver 1 wishes to estimate the first source component and Receiver 2 wishes to estimate the second. Our interest is in the pairs of expected squared-error distortions that are simultaneously achievable at the two receivers. We prove that an uncoded transmission scheme that sends a linear combination of the source components achieves the optimal power-versus-distortion trade-off whenever the signal-to-noise ratio is below a certain threshold. The threshold is a function of the source correlation and the distortion at the receiver with the weaker noise.
The reliable communication of FS CELP 10 16 encoded speech over very noisy channels is investigated. Using second-order Markov chains it is shown that over one-quarter of the CELP bits in every frame of speech are red...
详细信息
The reliable communication of FS CELP 10 16 encoded speech over very noisy channels is investigated. Using second-order Markov chains it is shown that over one-quarter of the CELP bits in every frame of speech are redundant. An unequal error protection coding scheme, which exploits this residual redundancy, is proposed for sending the CELP parameters over Gaussian and Rayleigh fading channels. Simulations indicate substantial coding gains over conventional systems.
A channel-optimized vector quantizer (COVQ) scheme that exploits the channel soft-decision information is proposed. The scheme is designed for stationary memoryless Gaussian and Gauss-Markov sources transmitted over B...
详细信息
A channel-optimized vector quantizer (COVQ) scheme that exploits the channel soft-decision information is proposed. The scheme is designed for stationary memoryless Gaussian and Gauss-Markov sources transmitted over BPSK-modulated Rayleigh-fading channels. It is demonstrated that substantial coding gains (2-3 dB in channel signal-to-noise ratio (SNR) and 1-1.5 dB in source signal-to-distortion ratio (SDR) can be achieved over COVQ systems designed for discrete (hard-decision demodulated) channels.
Variable-length error-correcting codes, suitable to perform joint source-channelcoding, are presented. A maximum likelihood decoding algorithm for these codes is given. Some performance bounds are derived and it is s...
详细信息
Variable-length error-correcting codes, suitable to perform joint source-channelcoding, are presented. A maximum likelihood decoding algorithm for these codes is given. Some performance bounds are derived and it is shown that these codes are similar to convolutional codes. The free distance of these codes is defined and it is shown that it is the most important parameter that determines their performance at high E-b/N-o. It is shown that the performance of these codes can be better than a standard cascade of a Huffman code followed by a BCH code with the same code parameters.
Efficient use of available energy resources for real-time multimedia communication with a quality guarantee is one of the main challenges for future mobile computing systems. To meet the high quality-of-experience (Qo...
详细信息
Efficient use of available energy resources for real-time multimedia communication with a quality guarantee is one of the main challenges for future mobile computing systems. To meet the high quality-of-experience (QoE) demand of multimedia services, we propose a novel quality-driven joint source-channelcoding (JSCC) scheme with an unequal error protection (UEP) technique that allocates bits by optimising source intra refreshing rates and channel correction coding rates. The key contribution of this work is that the frame importance diversity at the application layer is jointly considered with the error correction techniques and resource constraints at lower layers. For any given bit budget, the JSCC model is capable of allocating adaptive bits between sourcecoding and channelcoding among media streams. The source-aware UEP scheme is capable of dynamically allocating the error correction bits among frames, achieving the maximum overall QoE. Simulation results demonstrated that significant improvement in multimedia quality and remarkable energy/time conservation can be achieved by deploying the proposed group-based JSCC strategy, although the complexity is limited.
The optimal analog discrete-time feedback communication system is designed for the transmission of a Markov process, such as that generated by a combinedsource/channel encoder, The forward channel is affected by an a...
详细信息
The optimal analog discrete-time feedback communication system is designed for the transmission of a Markov process, such as that generated by a combinedsource/channel encoder, The forward channel is affected by an additive white Gaussian noise, while the feedback channel is causal and noiseless;no repetition of the transmitted sample is assumed, On the basis of the Minimum Mean Square Error (MMSE) criterion, the optimal transmitter and receiver are derived under the constraint of a maximum power level for the transmission over the forward channel, The resulting optimized system is adaptive and fully exploits the available power, thus maximizing the information rate transferred by the system itself, For comparison purposes, the optimal MMSE communication system without feedback link is also designed, The MSE performance of both systems, with and without feedback link, is evaluated by means of closed-form expressions and their convergence rate to the steady state is also computed, Using the feedback link gives significant performance improvements when the input-encoded process is moderately or highly correlated;in this case, the advantages offered by the combined source-channel coding techniques are fully exploited by the proposed optimized feedback communication systems.
We consider the zero-delay encoding of discrete-time analog information over the Multiple Access Relay channel (MARC) using non-linear mapping functions. On the one hand, zero-delay nonlinear mappings are capable to d...
详细信息
We consider the zero-delay encoding of discrete-time analog information over the Multiple Access Relay channel (MARC) using non-linear mapping functions. On the one hand, zero-delay nonlinear mappings are capable to deal with the multiple access interference (MAI) caused by the simultaneous transmission of the information. On the other, the relaying operation is a Decode-and-Forward (DF) strategy where the decoded messages are merged into a single message using a specific continuous mapping depending on the correlation level of the source information. At the receiver, an approximated Minimum Mean Squared Error (MMSE) decoder is developed to obtain an estimate of the transmitted source symbols which exploits the information received from the relay node in combination with the messages received from the transmitters through the direct links. The resulting system provides better performance than the other alternative encoding strategies for the MARC with similar complexity and delay and also approaches the performance of theoretical strategies which require a significantly higher delay and computational cost.
A scheme named index assignment-based channelcoding (IACC) has been developed for resilience of speech/audio codecs against the bit errors commonly experienced in wireless channels. Although IACC is a type of joint s...
详细信息
A scheme named index assignment-based channelcoding (IACC) has been developed for resilience of speech/audio codecs against the bit errors commonly experienced in wireless channels. Although IACC is a type of joint sourcechannelcoding, it does not intervene with the source codec design. The proposed scheme takes into account source characteristics and adjusts the amount of coding according to the sensitivity of different values of the source parameters. It is shown that source characteristics play an important role in the performance of IACC. The performance of IACC has been evaluated by applying it to parameters generated by adaptive multi-rate wideband (AMR-WB+) audio codec. A method for perceptual training of IACC codes is also proposed. The results demonstrate that the performance of IACC and IACC concatenated with convolutional coding can be superior to that of conventional convolutional coding at high and moderate bit error rates, respectively.
Since joint source-channel decoding is capable of exploiting the residual redundancy in the source signals for improving the attainable error resilience, it has attracted substantial attention. In this treatise, the a...
详细信息
Since joint source-channel decoding is capable of exploiting the residual redundancy in the source signals for improving the attainable error resilience, it has attracted substantial attention. In this treatise, the authors study iterative source-channel decoding (ISCD) aided video communications, where the video signal redundancy is modelled by a first-order Markov process. Firstly, the authors derive reduced-complexity formulas for the first-order Markov modelling (FOMM) aided source decoding. Then they propose a bit-based iterative horizontal-vertical scanline model (IHVSM) aided source decoding algorithm, where a horizontal and a vertical source decoder are employed for exchanging their extrinsic information using the iterative decoding philosophy. The iterative IHVSM aided decoder is then employed in a forward error correction (FEC) encoded uncompressed video transmission scenario, where the IHVSM and the FEC decoder exchange softbit-information for performing turbo-like ISCD for the sake of improving the reconstructed video quality. Finally, the authors benchmark the attainable system performance against a near-lossless H.264/AVC video communication system and the existing FOMM-based softbit source decoding scheme. The authors simulation results show that E-b/N-0 improvements in excess of 2.8 dB are attainable by the proposed technique in uncompressed video applications.
暂无评论