Type-Based Random Access for Distributed Detection over Multiaccess Fading Channels

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“Type-Based Random Access for Distributed Detection over Multiaccess Fading Channels” by A. Anandkumar and L. Tong. IEEE Trans. Signal Proc., vol. 55, no. 10, Oct. 2007, pp. 5032-5043. (2008 IEEE Signal Proc. Society Young Author Best Paper Award)
A previous version appeared as “Distributed statistical inference using Type Based Random Access over multi-access fading channels” by A. Anandkumar and L. Tong. In Proc. of CISS '06, (Princeton, NJ), Mar. 2006, pp. 38-43.

Abstract

The problem of distributed detection in a sensor network over multi-access fading channels is considered. A random-access transmission scheme referred to as the type-based random access (TBRA) is proposed and analyzed. Error exponents of TBRA under non-coherent detection are characterized with respect to the mean transmission rate and the channel-coherence index. For the zero-mean multi-access fading channels, it is shown that there exists an optimal mean-transmission rate that maximizes the detection-error exponents. The optimal mean-transmission rate can be calculated numerically or estimated using the Gaussian approximation, and it gives a sensor-activation strategy that achieves an optimal allocation of transmission energy to spatial and temporal domains. Numerical examples and simulations are used to compare TBRA with the conventional centralized time-division multiple access (TDMA) scheme. It is shown that for the zero-mean multi-access fading channels, TBRA gives substantial improvement in the low signal-to-noise ratio (SNR) regime whereas for the non-zero mean fading channels, TBRA performs better over a wide range of SNR.

Download: Paper, CISS `06 Version: .pdf, .ps, Talk.

BibTeX entry:

@article{AnandkumarTong07SP,
   author = {A. Anandkumar and L. Tong},
   title = {{Type-Based Random Access for Distributed Detection over
	Multiaccess Fading Channels}},
   journal = {IEEE Trans. Signal Proc.},
   volume = {55},
   number = {10},
   pages = {5032-5043},
   month = oct,
   year = {2007}
}

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