Power-constrained bandwidth-reduction source-channel mappings for fading channels

Saleh, Ahmad Abou; Alajaji, Fady; Chan, Wai-Yip

doi:10.1109/qbsc.2012.6221357

Cited by 7 publications

(6 citation statements)

References 18 publications

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“…Non-parametric encoding determines the optimal mapping for a given data-set by performing numerical optimizations. In this work, we have employed the PCCOVQ algorithm, following [13], [14], which aims at mapping the vector x of N = 2 dimensions in Q quantization regions Ω i , obtaining a partition p…”

Section: Non-parametric Schemementioning

confidence: 99%

“…In literature, the power constrained channel optimized vector quantization (PCCOVQ) has been proposed in [12] in order to determine optimal mappings for the AWGN channel. Subsequently, the PCCOVQ was further extended to fading channels in [13], [14], yielding efficient performance, approaching the optimal performance theoretically attainable (OPTA).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analog Joint Source-Channel Coding with Non-Gaussian Sets of Sensor Samples

Reis¹,

Schroeder²,

Brante³

et al. 2019

Anais De XXXVII Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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This work presents an analog joint source-channel coding scheme as an alternative for machine-type communications that require low latency. We have implemented parametric and non-parametric coding for non-Gaussian sets of samples, collected by sensors of temperature and humidity. Since the parametric mappings are optimal only for Gaussian sources, the Box-Cox transformation was used in order to improve performance. Furthermore, we have employed non-parametric coding, which adapts more efficiently to the data sets, further improving performance at the cost of greater complexity.

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Section: Non-parametric Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analog Joint Source-Channel Coding with Non-Gaussian Sets of Sensor Samples

Reis¹,

Schroeder²,

Brante³

et al. 2019

Anais De XXXVII Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

View full text Add to dashboard Cite

show abstract

“…Motivated by lowdelay constraints, in for example sensor networks or closedloop control applications, we look at analog joint sourcechannel mappings. There are several practical examples of point-to-point communication with this kind of analog sourcechannel mappings [5]- [12]. There are not as many results for multi-user scenarios as considered in this paper; see [13]- [17] for a few of the existing multi-user results.…”

Section: Introductionmentioning

confidence: 99%

Low-Delay Joint Source-Channel Mappings for the Gaussian MAC

2014

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Abstract-The bivariate Gaussian multiterminal source coding problem with transmission over the Gaussian multiple-access channel is studied. We propose the use of low-delay joint sourcechannel mappings and show how performance saturation, which is unavoidable with linear transmission, can be overcome by optimizing the mappings. The optimized mappings are in general nonlinear and perform a combination of hard and soft decision signaling for the error-resilient transmission of analog data.

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“…Joint source-channel coding (JSCC) schemes are more robust to noise level mismatch than tandem systems which use separate source and channel coding. Analog JSCC schemes are studied in [2]- [11]. These schemes are based on the so-called direct source-channel mappings.…”

Section: Introductionmentioning

confidence: 99%

Source-Channel Coding for Fading Channels With Correlated Interference

Saleh

Chan

Alajaji

2014

IEEE Trans. Commun.

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We consider the problem of sending a Gaussian source over a fading channel with Gaussian interference known to the transmitter. We study joint source-channel coding schemes for the case of unequal bandwidth between the source and the channel and when the source and the interference are correlated. An outer bound on the system's distortion is first derived by assuming additional information at the decoder side. We then propose layered coding schemes based on proper combination of power splitting, bandwidth splitting, Wyner-Ziv and hybrid coding. More precisely, a hybrid layer, that uses the source and the interference, is concatenated (superimposed) with a purely digital layer to achieve bandwidth expansion (reduction). The achievable (square error) distortion region of these schemes under matched and mismatched noise levels is then analyzed. Numerical results show that the proposed schemes perform close to the best derived bound and to be resilient to channel noise mismatch. As an application of the proposed schemes, we derive both inner and outer bounds on the source-channel-state distortion region for the fading channel with correlated interference; the receiver, in this case, aims to jointly estimate both the source signal as well as the channel-state (interference).

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Power-constrained bandwidth-reduction source-channel mappings for fading channels

Cited by 7 publications

References 18 publications

Analog Joint Source-Channel Coding with Non-Gaussian Sets of Sensor Samples

Analog Joint Source-Channel Coding with Non-Gaussian Sets of Sensor Samples

Low-Delay Joint Source-Channel Mappings for the Gaussian MAC

Source-Channel Coding for Fading Channels With Correlated Interference

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