803 citations · 2.6k across the 256 of their papers we have counts for
8 papers · 1 filter
Dense Gaussian Sensor Networks: Minimum Achievable Distortion and the Order Optimality of Separation
Nan Liu, Sennur Ulukus
We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements…
A New Data Processing Inequality and Its Applications in Distributed Source and Channel Coding
W. Kang, S. Ulukus
In the distributed coding of correlated sources, the problem of characterizing the joint probability distribution of a pair of random variables satisfying an n-letter Markov chain…
The Capacity Region of a Class of Discrete Degraded Interference Channels
Nan Liu, Sennur Ulukus
We provide a single-letter characterization for the capacity region of a class of discrete degraded interference channels (DDICs). The class of DDICs considered includes the discre…
An Outer Bound for the Multi-Terminal Rate-Distortion Region
W. Kang, S. Ulukus
The multi-terminal rate-distortion problem has been studied extensively. Notably, among these, Tung and Housewright have provided the best known inner and outer bounds for the rate…
Optimal Distortion-Power Tradeoffs in Gaussian Sensor Networks
Nan Liu, Sennur Ulukus
We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements…
Optimal Distortion-Power Tradeoffs in Sensor Networks: Gauss-Markov Random Processes
Nan Liu, Sennur Ulukus
We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements…