Analog Joint Source Channel Coding for Gaussian Multiple Access Channels

  title={Analog Joint Source Channel Coding for Gaussian Multiple Access Channels},
  author={Mohamed Hassanin and {\'O}. Fresnedo and J. Garcia-Fr{\'i}as and L. Castedo},
We investigate the problem of transmiting independent sources over the Gaussian Multiple Access Channel (MAC) using a CDMA-like access scheme that allows users to transmit at different rates. Rather than using standard digital communications systems, we focus on analog joint source-channel coding techniques to encode each user's source. We analyze the performance of the proposed scheme and demonstrate its optimality. Simulation results with practical analog joint source-channel codes optimized… Expand
Analog joint source channel coding for block fading Multiple Access Channels
This work addresses the transmission of discrete-time analog samples over a block fading Multiple Access Channel (MAC) with two practical access schemes to achieve the sum capacity: opportunistic and Code Division Multiple Access (CDMA). Expand
Analog joint source-channel coding for transmission of correlated senders over separated noisy channels
  • B. Lu, J. Garcia-Frías
  • Mathematics, Computer Science
  • 2015 49th Annual Conference on Information Sciences and Systems (CISS)
  • 2015
This work proposes a novel distributed joint source-channel coding scheme based on zero-delay analog mappings, which exploits the correlation between sources in an efficient way and performs very close to the theoretical limits, is very robust against signal to noise ratio mismatching, and outperforms existing zero- Delay mappings. Expand
A hybrid digital-analog scheme for the Multiple Access Channel
The proposed system is a hybrid scheme consisting of the combination of analog joint source-channel coding with a digital part, proving that it can achieve any point in the convex hull of the capacity region. Expand
On Joint Source-Channel Coding for a Multivariate Gaussian on a Gaussian MAC
The main contribution is a zero-delay JSCC named Distributed Quantizer Linear Coder (DQLC), which performs relatively close the information theoretical bounds, improves when the correlation among the sources increases, and does not level off as the signal-to-noise ratio (SNR) becomes large. Expand
Analog Mappings for Non-Linear Channels With Applications to Underwater Channels
This paper discuses the application of Analog Joint Source Channel Coding (JSCC) to Non-Linear Channels, including underwater acoustic channels, and develops a scheme to adapt space filling curves to this environment, studying the theoretical limits. Expand
Predictive Control and Communication Co-Design via Two-Way Gaussian Process Regression and AoI-Aware Scheduling
A dynamic control algorithm using the Lyapunov drift-plus-penalty optimization framework is proposed that can stably control 2x more number of actuators compared to an event-triggered scheduling baseline with Kalman filtering and frequency division multiple access, which is 18x larger than a round-robin scheduling baseline. Expand
Predictive Control and Communication Co-Design: A Gaussian Process Regression Approach
A scheduling algorithm that reduces the age-of-information of the last received states and a co-designed predictive control and AoI based scheduling achieves lower control errors, compared to a benchmark scheme using a round-robin scheduler without state prediction. Expand
Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction
Numerical results under a non-linear cartpole environment demonstrate that the proposed split learning of a Koopman autoencoder can locally predict future states, and the prediction accuracy increases with the representation dimension and transmission power. Expand


Analog joint source-channel coding in Rayleigh fading channels
This work considers discrete-time all-analog-processing joint source-channel coding, using non-linear spiral-like curves, and shows that MMSE performs much better than ML in high CSNR in single-antenna wireless systems, while diversity combining is able to significantly reduce such performance gap. Expand
Spatial Diversity Using Analog Joint Source Channel Coding in Wireless Channels
It is shown that the MMSE implementation of the analog scheme performs very close to the unconstrained capacity of digital schemes using scalar quantization, while its complexity is much lower than that of capacity-approaching digital systems. Expand
Analog joint source-channel coding in MIMO Rayleigh fading channels
Experimental results show that the decision feedback MIMO receiver performs at 2 dB from the theoretical bound when transmitting Gaussian sources. Expand
Zero-Delay Joint Source-Channel Coding for a Bivariate Gaussian on a Gaussian MAC
Two distributed JSCC schemes for transmission of two correlated Gaussian memoryless sources over a Gaussian Multiple Access Channel are considered: one discrete scheme based on nested scalar quantization, and one hybrid discrete-analog schemes based on a scalarquantizer and a linear continuous mapping. Expand
Analog Joint Source-Channel Coding for OFDM systems
It is shown that the three analog JSCC transmission strategies approach the optimal distortion-cost trade-off although much better performance is obtained with the adaptive coding with precoding method, specially in Multiple Input Multiple Output (MIMO) OFDM systems. Expand
Analog Joint Source-Channel Coding Using Non-Linear Curves and MMSE Decoding
This work investigates the performance of a discrete-time all-analog-processing joint source-channel coding system for the transmission of memoryless sources over average power constrained AWGN channels, and introduces an additional degree of freedom at the encoder using MMSE decoding instead of ML decoding. Expand
Sending a bivariate Gaussian over a Gaussian MAC
The power-versus-distortion tradeoff for the distributed transmission of a memoryless bivariate Gaussian source over a two-to-one average-power limited Gaussian multiple-access channel is studied and an uncoded transmission scheme is introduced which is asymptotically optimal as the SNR tends to infinity. Expand
Sending a Bi-Variate Gaussian Source over a Gaussian MAC
It is demonstrated that in the symmetric case, below a certain signal-to-noise ratio (SNR) threshold, which is determined by the source correlation, uncoded communication is optimal. Expand
Shannon-kotel-nikov mappings in joint source-channel coding
A general theory for 1:N and M:1 dimension changing mappings is presented, and two examples for a Gaussian source and channel are provided where both a 2:1 bandwidth-reducing and a 1:2 bandwidth-expanding mapping are optimized. Expand
To code, or not to code: lossy source-channel communication revisited
It is shown that in order to achieve an optimal cost-distortion tradeoff, the source and the channel have to be matched in a probabilistic sense, which leads to a result on optimal single-source broadcast communication. Expand