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joint resource allocation for MIMO-OFDM video transmission systems with unequal error protection

Journal of Harbin Institute of Technology(New Series) 2012年第2期19卷 119-124页

作者：张成文刘鑫谭学治 Communication Research Center Harbin Institute of Technology

To improve the performance of MIMO-OFDM video transmission systems on the limitation of wireless bandwidth and transmitting power,we propose an adaptive joint resource allocation algorithm with unequal error protection(UEP) based on joint source-channel coding(JSCC) according to H.264 video compression standard and RCPT channel *** to different thresholds of the average SNR of subchannels,the algorithm dynamically allocates the source coding parameters of original video data and the channel coding parameters of RCPT,which realizes UEP for the compressed video data of different *** the bit and power allocation based on MQAM modulation and the subspace allocation based on beamforming technology for different subcarriers,an adaptive joint resource allocation making full use of space-frequency domain resources have been *** simulation results indicate that the algorithm improves the adaptability of video transmission systems in different wireless environments and the quality of video retrieval.

关键词： video transmission MIMO-OFDM unequal error protection joint source-channel coding

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On Asymptotic Analysis of Energy-Distortion Tradeoff for Low-Delay Transmission Over Gaussian channels

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IEEE TRANSACTIONS ON COMMUNICATIONS 2021年第7期69卷 4448-4460页

作者： Sevinc, Ceren Tuncel, Ertem Univ Calif Riverside Dept Elect & Comp Engn Riverside CA 92521 USA

Asymptotic energy-distortion performance of zero- and low-delay transmission of Gaussian sources over energy-limited Gaussian channels is studied. A lower bound for the leading term in the negative logarithm of the distortion, termed the energy-distortion exponent, is derived through an achievable scheme based on high-resolution quantization coupled with orthogonal signaling. The higher-order term in the negative logarithm of the distortion, termed the energy-distortion dispersion, is optimized while keeping the leading term, the energy-distortion exponent, at its optimal (respectively, the best known) value for the zero-delay (respectively, low-delay) regime. In contrast with the decaying dispersion previously reported in the literature, the proposed coding scheme achieves a constant dispersion. When the scheme is optimized, this constant can be improved with respect to its naive value, i.e., that achieved by optimizing purely the source coding performance instead of the end-to-end distortion. Lastly, a tradeoff of achievable energy-distortion exponents is derived for broadcast scenarios by extending the point-to-point scheme to include a successive refinement source coder coupled with two rounds of orthogonal signaling. A simple parametric computation algorithm is derived for the tradeoff.

关键词： Broadcast channels energy-distortion exponent energy-distortion tradeoff high-resolution quantization theory joint source-channel coding low-delay orthogonal signaling zero-delay

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joint source-channel Bit Allocation Based on Expected End-to-End Distortion Model

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Journal of Donghua University(English Edition) 2010年第4期27卷 458-462页

作者：马汉杰陈耀武 Institute of Advanced Digital Technology and Instrumentation Zhejiang University

An adaptive joint source channel bit allocation method for video communications over error-prone channel is *** protect the bit-streams from the channel bit errors,the rate compatible punctured convolution(RCPC)code is used to produce coding rates varying from 4/5 to 1/2 using the same encoder and the Viterbi *** expected end-to-end distortion model was presented to estimate the distortion introduced in compressed source coding due to quantization and channel bit errors *** on the proposed end-to-end distortion model,an adaptive joint source-channel bit allocation method was proposed under time-varying error-prone channel *** results show that the proposed methods could utilize the available channel capacity more efficiently and achieve better video quality than the other fixed coding-based bit allocation methods when transmitting over error-prone channels.

关键词： joint source-channel coding end-to-end distortion bit allocation rate compatible punctured convolution code

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Distortion Exponent in MIMO Fading channels With Time-Varying source Side Information

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IEEE TRANSACTIONS ON INFORMATION THEORY 2016年第6期62卷 3597-3617页

作者： Aguerri, Inaki Estella Gunduz, Deniz Imperial Coll London Dept Elect & Elect Engn London SW7 2BT England Huawei Technol Co Ltd France Res Ctr Math & Algorithm Sci Lab F-92100 Boulogne France Imperial Coll London Dept Elect & Elect Engn London SW7 2BT England

Transmission of a Gaussian source over a time-varying multiple-input multiple-output (MIMO) channel is studied under strict delay constraints. Availability of a correlated side information at the receiver is assumed, whose quality, i.e., its correlation with the source signal, also varies over time. A block-fading model is considered for the states of the time-varying channel and side information;perfect state information at the receiver is assumed, while the transmitter knows only the statistics. The high signal to noise ratio performance, characterized by the distortion exponent, is studied for this joint source-channel coding problem. An upper bound is derived and compared with several lower bounds based on list decoding (LD), hybrid digital-analog transmission, as well as multi-layer schemes, which transmit successive refinements of the source, relying on progressive or superposition transmission with LD. The optimal distortion exponent is characterized for the single-input multiple-output and multiple-input single-output scenarios by showing that the distortion exponent achieved by multi-layer superposition encoding with joint decoding meets the proposed upper bound. In the MIMO scenario, the optimal distortion exponent is characterized in the low bandwidth ratio regime, and it is shown that the multi-layer superposition encoding performs very close to the upper bound in the high bandwidth ratio regime.

关键词： Distortion exponent joint source-channel coding time-varying channel and side information list decoding broadcast codes successive refinement

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channel-CONFIGURABLE DEEP WIRELESS SPEECH TRANSMISSION 25

CHANNEL-CONFIGURABLE DEEP WIRELESS SPEECH TRANSMISSION

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IEEE Wireless Communications and Networking Conference (IEEE WCNC)

作者： Bokaei, Mohammad Jensen, Jesper Doclo, Simon Ostergaard, Jan Aalborg Univ Aalborg Denmark Oticon AS Copenhagen Denmark Carl von Ossietzky Univ Oldenburg Oldenburg Germany

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 joint source-channel encoder and a joint source-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.

关键词： low-latency joint source-channel coding speech transmission edge communication

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Semantics-Empowered UAV-assisted Wireless Communication System for Wildfire Detection 28

Semantics-Empowered UAV-assisted Wireless Communication Syst...

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IEEE 28th International Workshop on Computer-Aided Modeling and Design of Communication Links and Networks (CAMAD)

作者： Basnayaka, Chathuranga M. Wijerathna Jayakody, Dushantha Nalin K. Beko, Marko Univ Lisbon Inst Telecomunicacoes Inst Super Tecn P-1049001 Lisbon Portugal Lusofona Univ COPELABS P-1700097 Lisbon Portugal Sri Lanka Technol Campus Sch Engn Ctr Telecommun Res Padukka 10500 Sri Lanka

ISBN: (纸本)9798350303490

With the increasing occurrence of wildfires globally, quick and effective detection methods are vital. This paper proposes an innovative solution for wildfire detection using Unmanned Aerial Vehicle (UAV)-assisted detection systems. On the other hand, semantic communication, a technology designed for efficient data transmission in specialized tasks, plays a crucial role in next-generation wireless communications systems. In this paper, the deep joint source-channel coding (DJSCC) scheme has been used for efficient image transmission as a deep learning-based semantic communication technique for wildfire detection. DJSCC improves source and channel coding for semantic communications, offering advantages such as improved energy efficiency, reduced latency, and improved reliability compared to traditional source and channel code schemes. In this paper, the transmitter-receiver operations of the UAV communication system are modeled as a DJSCC, and they are jointly trained while taking into account the effects of the fading channel. The encoder transforms captured images into compact feature vectors, subsequently transmitting them using a reduced number of channels to minimize latency. Rather than engaging in the reconstruction of the input image in the receiver, the classifier performs a classification task using the received signals at the receiver. Alternatively, if the recovery of an image is required to understand the spread of the wildfire, the decoder reconstructs it by using the received signal at the receiver.

关键词： Unmanned Aerial Vehicles (UAV) joint source-channel coding semantic communication deep learning wildfire

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Compressed-and-Forward: Compressive Sensing for Cooperative Communication

Compressed-and-Forward: Compressive Sensing for Cooperative ...

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IEEE International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS)

作者： Yeh, Chia-Hung Lin, Yu-Liang Liu, Cheng-Chih Huang, Wan-Jen Natl Sun Yat Sen Univ Dept Elect Engn Kaohsiung Taiwan Natl Sun Yat Sen Univ Inst Communicat Engn Kaohsiung Taiwan

ISBN: (纸本)9781467350839;9781467350815

Cooperative communication has been shown that it is an effective way to achieve spatial diversity in order to combat the user-outage caused by effects fading channel. Except for amplify-and-forward (AF) and decode-and-forward (DF), compressed-and-forward (CF) is also an efficient forwarding strategy. In the existing CF protocol, the relay will switch to the DF mode when the source transmitted signal can be recovered by the relay completely;however, no further compression is made in this scheme. This paper proposes a new CF scheme. The relay will estimate if the codeword in a predefined block can be succeeded decoded, then choose the corresponding forwarding methods which are based on joint source-channel coding or compressive sensing. At the decode side, a joint decoder is designed to decode the source according to the relay compression mode. Simulation results show that the proposed CF scheme can acquire the spatial diversity and outperform AF and DF schemes.

关键词： cooperative communication compressed-and-forward joint source-channel coding compressive sensing

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PACKET LOSS PROTECTION FOR INTERACTIVE AUDIO OBJECT RENDERING: A MULTIPLE DESCRIPTION APPROACH

PACKET LOSS PROTECTION FOR INTERACTIVE AUDIO OBJECT RENDERIN...

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4th International Workshop on Quality of Multimedia Experience (QoMEX)

作者： Zheng, Xiguang Ritz, Christian Univ Wollongong Sch Elect Comp & Telecommun Engn ICT Res Inst Wollongong NSW 2522 Australia

ISBN: (纸本)9781467307253

This paper presents a new framework for compression and transmission of simultaneously occurring audio objects through packet loss channels in order to maintain user Quality of Experience (QoE). The audio objects are compressed into two mono mixtures, by exploiting sparsity of multichannel audio signals to identify the two most dominant time-frequency components in terms of an energy measure. These mixtures are further compressed using the MP3 audio codec, with the optimised transmission model selected from several channel coding models based on the Forward Error Correction (FEC) and Multiple Description coding (MDC) packet loss protection techniques. Audio objects can be recovered robustly from any received description(s) allowing real-time selective reproduction at the listeners' end. Results from spectral distortion measurements indicate the proposed scheme maintains the perceptual quality of the audio objects across a wide variety of packet loss conditions.

关键词： Quality of Experience Audio Compression joint source-channel coding

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COOPERATIVE LEARNING VIA FEDERATED DISTILLATION OVER FADING channelS

COOPERATIVE LEARNING VIA FEDERATED DISTILLATION OVER FADING ...

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Ahn, Jin-Hyun Simeone, Osvaldo Kang, Joonhyuk Korea Adv Inst Sci & Technol Daejeon South Korea Kings Coll London London England

ISBN: (纸本)9781509066315

Cooperative training methods for distributed machine learning are typically based on the exchange of local gradients or local model parameters. The latter approach is known as Federated Learning (FL). An alternative solution with reduced communication overhead, referred to as Federated Distillation (FD), was recently proposed that exchanges only averaged model outputs. While prior work studied implementations of FL over wireless fading channels, here we propose wireless protocols for FD and for an enhanced version thereof that leverages an offline communication phase to communicate "mixed-up" covariate vectors. The proposed implementations consist of different combinations of digital schemes based on separate source-channel coding and of over-the-air computing strategies based on analog joint source-channel coding. It is shown that the enhanced version FD has the potential to significantly outperform FL in the presence of limited spectral resources.

关键词： Distributed training machine learning federated learning joint source-channel coding

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Robust and extreme unequal error protection scheme for the transmission of scalable data over OFDM systems

Robust and extreme unequal error protection scheme for the t...

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33rd IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Houas, Heykel Fijalkow, Inbar Baras, Cleo Univ Cergy Pontoise ENSEA CNRS ETIS UMR 8051 6 Ave Ponceau F-95014 Cergy Pontoise France Domaine Univ CNRS UMR 5216 GIPSA Lab F-38042 Grenoble France

ISBN: (纸本)9781424414833

Wireless applications are subject to the end-to-end Quality of Service (QoS) requirements. This paper presents a new resources allocation algorithm that allows to transmit scalable multimedia data over a frequency selective channel with partial channel knowledge. The available resources are subject to payload and QoS constraints and the algorithm aims at maximizing the transmission robustness to channel estimation errors. The impact of this technique is evaluated for a MPEG-4 audio application.

关键词： unequal error protection resources allocation OFDM scalable data joint source-channel coding

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