Simultaneous design of measurement and control strategies for stochastic systems with feedback
Automatica (Journal of IFAC)
Optimized low-delay source-channel-relay mappings
IEEE Transactions on Communications
Brief paper: Optimal memoryless control in Gaussian noise: A simple counterexample
Automatica (Journal of IFAC)
Optimum mean-square quantization of a noisy input (Corresp.)
IEEE Transactions on Information Theory
Theoretical limitations on the transmission of data from analog sources
IEEE Transactions on Information Theory
Optimal causal coding - decoding problems
IEEE Transactions on Information Theory
The design of joint source and channel trellis waveform coders
IEEE Transactions on Information Theory
Uncoded Transmission Is Exactly Optimal for a Simple Gaussian “Sensor” Network
IEEE Transactions on Information Theory
Optimal relay functionality for SNR maximization in memoryless relay networks
IEEE Journal on Selected Areas in Communications
Optimization and Convergence of Observation Channels in Stochastic Control
SIAM Journal on Control and Optimization
| Hi-index | 22.14 |
The problem of causal transmission of a memoryless Gaussian source over a two-hop memoryless Gaussian relay channel is considered. The source and the relay encoders have average transmit power constraints, and the performance criterion is mean-squared distortion. The main contribution of this paper is to show that unlike the case of a point-to-point scalar Gaussian channel, linear encoding schemes are not optimal over a two-hop relay channel in general, extending the sub-optimality results which are known for more than three hops. In some cases, simple three-level quantization policies employed at the source and at the relay can outperform the best linear policies. Further a lower bound on the distortion is derived and it is shown that the distortion bounds derived using cut-set arguments are not tight in general for sensor networks.