Asymptotic distortion exponents for the estimation of time-varying channels in multihop sensor networks

Authors:
Satish Vedantam;Urbashi Mitra;Ashutosh Sabharwal
Affiliations:
University of Southern California, Los Angeles, CA;University of Southern California, Los Angeles, CA;Rice University, Houston, TX
Venue:
ACM Transactions on Sensor Networks (TOSN)
Year:
2010

Citing 17
Cited 0

Elements of information theory

Elements of information theory
Power-bandwidth-distortion scaling laws for sensor networks

Proceedings of the 3rd international symposium on Information processing in sensor networks
Convex Optimization

Convex Optimization
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,

Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Sensing the channel: sensor networks with shared sensing and communications

Proceedings of the 5th international conference on Information processing in sensor networks
Submarine Location Estimation Via a Network of Detection-Only Sensors

IEEE Transactions on Signal Processing
Estimation Diversity and Energy Efficiency in Distributed Sensing

IEEE Transactions on Signal Processing
Sensor Selection and Power Allocation for Distributed Estimation in Sensor Networks: Beyond the Star Topology

IEEE Transactions on Signal Processing - Part I
Channel Estimation for Amplify and Forward Relay Based Cooperation Diversity Systems

IEEE Transactions on Wireless Communications
Fading channels: information-theoretic and communications aspects

IEEE Transactions on Information Theory
Communication on the Grassmann manifold: a geometric approach to the noncoherent multiple-antenna channel

IEEE Transactions on Information Theory
How much training is needed in multiple-antenna wireless links?

IEEE Transactions on Information Theory
Cooperative diversity in wireless networks: Efficient protocols and outage behavior

IEEE Transactions on Information Theory
Channel capacity and state estimation for state-dependent Gaussian channels

IEEE Transactions on Information Theory
Side information aware coding strategies for sensor networks

IEEE Journal on Selected Areas in Communications
Estimating inhomogeneous fields using wireless sensor networks

IEEE Journal on Selected Areas in Communications
Spectrum sharing for unlicensed bands

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

The problem of time-varying channel estimation in multihop sensor networks is examined. Two relay processing methods are explored: amplify-and-forward and encode-and-forward. Bounds on the end-to-end distortion for all internode channel estimates are computed for these two relay processing schemes. Performance is analyzed via the asymptotic limit of the decay rate of the end-to-end distortion with respect to SNR at high SNR. It is also established that asymptotically in SNR, amplify-and-forward can outperform encode-and-forward and in fact can achieve the maximum possible distortion exponent (distortion decay rate) order of unity. Linear and many-to-one topologies are then examined and it is shown that orthogonal access in the many-to-one network is optimal.