Joint source-channel coding via hybrid coding

Minero, Paolo; Lim, Sung Hoon; Kim, Young-Han

doi:10.1109/isit.2011.6034241

Cited by 17 publications

(19 citation statements)

References 16 publications

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“…By combining the recently proposed analog-digital hybrid coding scheme for joint source-channel coding [9], [12] with block Markov coding, we presented an inner bound to the optimal distortion region which was shown to include and generalize several existing results in the literature. The fundamental question that is leitmotif of our future research is how to resolve the tradeoff between competition and cooperation among separated senders in a network.…”

Section: Discussionmentioning

confidence: 75%

“…The coding scheme used for the proof of achievability in Theorem 1 uses the hybrid coding technique for joint sourcechannel coding proposed in [9], [12], combined with a block Markov coding technique. We provide here a sketch, while the full prove can be found in the extended version of this paper [21].…”

Section: Sketch Of the Proof Of Theoremmentioning

confidence: 99%

“…Two special cases of channels and sources for which our approach leads to tight conditions are presented. The associated coding scheme is based on the analog-digital hybrid coding scheme for joint source-channel coding proposed in [9], [12]. The novelty of our construction lies in combining hybrid coding with a block-Markov coding similar to the one used in the analysis of the Cover and Leung's inner bound [13].…”

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confidence: 99%

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Lossy communication over multiple-access channels with feedback

Minero

Jayaraj

2012

2012 IEEE International Symposium on Information Theory Proceedings

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We consider the problem of lossy communication of correlated sources over multiple access channels with noiseless causal feedback. A sufficient condition for lossy transmission is presented, which generalizes several previous results on communication over multiple access channels, recovering as special cases channel coding results by King, Cover, and Leung, and extending a previous sufficient condition for lossless communication by Cover, El Gamal, and Salehi. The proposed coding scheme is based on a recently developed analog-digital hybrid coding scheme for joint source-channel coding combined with blockMarkov coding.

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Section: Discussionmentioning

confidence: 75%

Section: Sketch Of the Proof Of Theoremmentioning

confidence: 99%

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confidence: 99%

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Lossy communication over multiple-access channels with feedback

Minero

Jayaraj

2012

2012 IEEE International Symposium on Information Theory Proceedings

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“…The JSCC IC problem has previously been studied in the lossless setup in [3], [6]- [8], showing the suboptimality of separation, and characterizing the sufficient and necessary conditions for reliable transmission in certain cases. Achievable schemes for lossy transmission over the IC based on JSCC are considered in [2] and [4]. The strong IC is also considered in [4] and separation is shown to be suboptimal in this regime.…”

Section: Introductionmentioning

confidence: 99%

“…Then, we consider achievable schemes based on separate source and channel coding (SSCC) and uncoded transmission. We also consider three JSCC schemes based on hybrid coding [2]. First, we consider a scheme in which each source is optimally quantized at the corresponding transmitter, and the quantization codewords are scaled and used as channel inputs, same as the vector quantizer (VQ) scheme proposed for the MAC in [1].…”

Section: Introductionmentioning

confidence: 99%

Gaussian joint source-channel coding for the strong interference channel

Aguerri

Gündüz

2015

2015 IEEE Information Theory Workshop (ITW)

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Transmission of correlated Gaussian sources over a Gaussian interference channel is studied. Each terminal has one source available, which has to be reconstructed at the corresponding destination with the minimum average distortion. Focusing on the strong interference setting, we first derive necessary conditions on the achievable distortion pairs. Then, focusing on the symmetric scenario, we present achievable distortion pairs considering several transmission strategies. We compare the achievable distortion by the proposed schemes with the lower bound. In particular, we consider separate source and channel coding, uncoded transmission, a vector quantization (VQ) scheme which uses the quantization codewords as channel inputs, and finally a superposition of two quantization codewords. We show that the VQ scheme is optimal in the high SNR regime. We also show that the proposed superposition scheme performs very close to the lower bound in certain regimes.

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Joint source–channel coding for a quantum multiple access channel

Wilde¹,

Savov²

2012

J. Phys. A: Math. Theor.

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Suppose that two senders each obtain one share of the output of a classical, bivariate, correlated information source. They would like to transmit the correlated source to a receiver using a quantum multiple access channel. In prior work, Cover, El Gamal, and Salehi provided a combined sourcechannel coding strategy for a classical multiple access channel which outperforms the simpler "separation" strategy where separate codebooks are used for the source coding and the channel coding tasks. In the present paper, we prove that a coding strategy similar to the Cover-El Gamal-Salehi strategy and a corresponding quantum simultaneous decoder allow for the reliable transmission of a source over a quantum multiple access channel, as long as a set of information inequalities involving the Holevo quantity hold.Suppose that a correlated information source, embodied in many realizations of two random variables U and V distributed independently and identically as p (u, v), is in the possession of two spatially separated senders, such that one sender has U and the other V . Suppose further that a multiple access channel, modeled as a conditional probability distribution p (y|x 1 , x 2 ), connects these two senders to a single receiver. When is it possible for the senders to transmit the output of the correlated source reliably over the multiple access channel? A separation strategy would have the senders first use a Slepian-Wolf compression code [25] to compress the source, followed by encoding the compressed bits using a multiple access channel code [13, 1]. The receiver would first decode the multiple access channel code and then decode the Slepian-Wolf compression code in order to recover the output of the information source. This strategy will work provided that the following information inequalities hold:where the information quantities are with respect to a distribution of the form p (u, v) p (x 1 ) p (x 2 ) p (y|x 1 , x 2 ). The codewords for the multiple access channel code in this scheme are generated independently according to the product distribution p (x 1 ) p (x 2 ).Cover, El Gamal, and Salehi (CES) demonstrated the failure of a separation strategy in the above scenario [3], in spite of a separation strategy being optimal for the case of a single sender and single receiver [24]. They found a simple example of a source with p (0, 0) = p (0, 1) = p (1, 1) = 1/3 and p (1, 0) = 0 and a channel Y = X 1 + X 2 such that the above information inequalities do not hold (H (U V ) = log 2 3 = 1.58 while max p(x1)p(x2) I (X 1 X 2 ; Y ) = 1.5), whereas the simple "joint" strategy of sending the source directly over the channel succeeds perfectly (set X 1 = U and X 2 = V so that the receiver can determine U and V from Y ). More generally, the main result of their paper is a joint source-channel coding strategy to allow for the senders to transmit a source reliably over the channel, provided that the following information 1

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Joint source-channel coding via hybrid coding

Cited by 17 publications

References 16 publications

Lossy communication over multiple-access channels with feedback

Lossy communication over multiple-access channels with feedback

Gaussian joint source-channel coding for the strong interference channel

Joint source–channel coding for a quantum multiple access channel

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