We consider distributed linear transceivers for sending a second-order wide-sense stationary process observed by two noisy sensors over a Gaussian multiple-access channel (MAC). We derive the minimum mean-square error...
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ISBN:
(纸本)1424407281
We consider distributed linear transceivers for sending a second-order wide-sense stationary process observed by two noisy sensors over a Gaussian multiple-access channel (MAC). We derive the minimum mean-square error (MSE) distributed linear transceiver. The optimal linear transmitter exploits bandwidth expansion by repeating transmission and the transmitters at the two sensors are the same except for a constant factor. When the source is white, uncoded transmission is the best linear code for any SNR. But for a colored source, whitening transmit filter is sub-optimal. In high SNR regime, the magnitude response of the optimal transmission filter is inversely proportional to fourth-root of the power spectrum of the process (while that for the whitening filter is inversely proportional to the square-root of the spectrum). In the special case of a single sensor with Gaussian source, we also quantify the performance loss of linear source-channel codes with respect to the Shannon limit.
We consider analog multiple description jointsource-channel schemes for the transmission of a Gaussian source over two independent AWGN parallel channels under a quadratic error distortion criteria. For such systems,...
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ISBN:
(纸本)9781479919314
We consider analog multiple description jointsource-channel schemes for the transmission of a Gaussian source over two independent AWGN parallel channels under a quadratic error distortion criteria. For such systems, Lines mapping was proved to be a simple and efficient mapping when MMSE decoding is used. However, MMSE decoding presents a high computational load. In order to reduce complexity of such schemes, this paper studies the suitability of replacing the MMSE decoders by the much simpler ML decoders. The scenario where the ML decoders have some additional side information (Wyner-Ziv scenario) is also analyzed. Their performances are compared with the corresponding theoretical bound and with the obtained simulation results of their MMSE counterparts.
Image-based teleoperation offers significant flexibility and efficiency in several applications, such as teleoperated driving;still, it highly depends on reliable communication bandwidth and high Signal-to-Noise Ratio...
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ISBN:
(纸本)9798350384482;9798350384475
Image-based teleoperation offers significant flexibility and efficiency in several applications, such as teleoperated driving;still, it highly depends on reliable communication bandwidth and high Signal-to-Noise Ratio (SNR), which is hard to guarantee in uncontrolled environments. This poster tackles the challenge of reliable communication under limited bandwidth. We propose to leverage the context and task knowledge to guide the compression to favor task performance rather than image fidelity. In particular, we jointly designed source-channelcoding with a task performer to present an end-to-end TAsk-Guided Image Communication (TAGIC) framework, which uses Soft Introspective Variational Autoencoder (S-IntroVAE) and prioritizes the task-critical image information with limited communication bandwidth in the low SNR region. We demonstrate the effectiveness of TAGIC in a teleoperated driving scenario through the CARLA simulation platform - a widely used simulator in the autonomous driving community. Given the equivalent value of bandwidth compression ratio, TAGIC achieves a 202.6% improvement in the driving score over existing methods at low SNR.
Image and video transmission is highly expected to proliferate with the wide spread of Wi-Fi devices and the introduction of multiple-input multiple-output (MIMO) systems. This paper proposes a novel precoder for vide...
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ISBN:
(纸本)9781509021758
Image and video transmission is highly expected to proliferate with the wide spread of Wi-Fi devices and the introduction of multiple-input multiple-output (MIMO) systems. This paper proposes a novel precoder for video transmission in overloaded MIMO systems, which is based on an eigen-beam space division multiplexing (E-SDM) technique. This paper also proposes a low complexity postcoder, which detects some of data symbols by a linear approach and the others by a prevoting vector cancellation (PVC) approach. It is shown from simulation results that the proposed precoder and postcoder achieve 40 dB in peak signal-to-noise ratio while reducing the computational complexity by over 61% compared to the conventional PVC-based detection when received signal-to-noise ratio is higher than 10 dB.
We study the lossy communication of a bivariate Gaussian source over an interference channel with the presence of a helping relay. We assume that the wireless links introduce random phase shifts which are unknown to t...
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ISBN:
(纸本)9781467325790
We study the lossy communication of a bivariate Gaussian source over an interference channel with the presence of a helping relay. We assume that the wireless links introduce random phase shifts which are unknown to the transmitters (including the relay) and call the channel a phase incoherent interference relay channel (PI-IRC). We derive inner and outer bounds for the achievable distortion region, where the inner bound is derived under specific strong interference conditions as well as strong gain conditions between transmitters and the relay. When the sources are correlated, we find an approximate achievable distortion region in the high SNR regime. In case of independent sources, the bounds are tight and by explicitly providing the achievable distortion region, we show that a separation theorem results for the PI-IRC under strong interference conditions. By removing the relay, the result also specializes to an interference channel.
This paper concerns new effective method of joint data coding/ modulation which may improve energy-efficiency and energy savings of modern wireless transmission systems. The method require a priori knowledge of input ...
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ISBN:
(纸本)9781538676325
This paper concerns new effective method of joint data coding/ modulation which may improve energy-efficiency and energy savings of modern wireless transmission systems. The method require a priori knowledge of input data probability distribution to map them to the modulation symbols in the most efficient way.
The proliferation of edge-based wireless speech applications necessitates the development of resource-efficient, low-latency speech communication systems capable of functioning across diverse communication channel con...
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ISBN:
(纸本)9798350303582;9798350303599
The proliferation of edge-based wireless speech applications necessitates the development of resource-efficient, low-latency speech communication systems capable of functioning across diverse communication channel conditions. Ensuring intelligible speech communication under conditions of constrained resources and low-latency presents a challenging problem within the domain of speech transmission. In this paper, we introduce a very low-latency configurable speech transmission system leveraging joint source-channel coding and deep neural networks (DNNs). Our proposed system is a unified deep neural network system engineered to operate effectively across a wide range of wireless communication channel scenarios. The system encompasses both a jointsource-channel encoder and a jointsource-channel decoder, each with access to channel state information (CSI). In this context, CSI signifies the type of fading in the wireless channel. Notably, our system has a total latency of 2 ms. Through extensive simulations, we empirically demonstrate that the proposed configurable system closely approximates the performance of ideal systems specifically tailored to individual wireless channel scenarios. Our evaluation is rooted in the assessment of instrumental measures of speech quality and intelligibility, affirming the efficacy of our system in diverse and resource-constrained communication contexts.
Methods for reliable transmission of information, especially digital television, are considered. In the broadcast channel, several different receiver configurations and channel conditions make an optimization of the c...
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ISBN:
(纸本)081941638X
Methods for reliable transmission of information, especially digital television, are considered. In the broadcast channel, several different receiver configurations and channel conditions make an optimization of the channelcoding practically impossible. To efficiently utilize available spectrum and to allow robust reception in adverse channel conditions, jointsource- channelcoding is applied. This is achieved utilizing multiresolution modulation combined with unequal error protection in the channelcoding part and data prioritization in source coder. These design parameters for the joint system are considered. The emphasis of this paper is on the modulation part. Multiresolution 32 QAM is presented. Simulations show good performance in the additive white gaussian noise channel and, moreover, results in multipath fading channel are encouraging as far as high priority level of the data is considered.
This paper extends the well-known sourcecoding problem of multiple descriptions, in its general and basic setting, to analog source-channelcoding scenarios. Encoding-decoding functions that optimally map between the...
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ISBN:
(纸本)9781479999897
This paper extends the well-known sourcecoding problem of multiple descriptions, in its general and basic setting, to analog source-channelcoding scenarios. Encoding-decoding functions that optimally map between the (possibly continuous valued) source and the channel spaces are numerically derived. The main technical tool is a non-convex optimization method, namely, deterministic annealing, which has recently been successfully used in other mapping optimization problems. The obtained functions exhibit several interesting structural properties, map multiple source intervals to the same interval in the channel space, and consistently outperform the known competing mapping techniques.
In this paper,we proposed a double-level error resilient joint source-channel coding scheme for image ***,we inserted one coordinative component named error resilient entropy coding (EREC) between sourcecoding and ch...
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In this paper,we proposed a double-level error resilient joint source-channel coding scheme for image ***,we inserted one coordinative component named error resilient entropy coding (EREC) between sourcecoding and channelcoding to achieve additional error resilient *** on the novel architecture,we proved that,in the aspects of computational complexity,coding redundancy and furthermore the decoding performance of image transmission,our scheme outperformed either separate source and channelcoding scheme or joint source-channel coding scheme with synchronization words.
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