Paper Info
Title
Computing Functions Via Simo Multiple-Access Channels: How Much Channel Knowledge Is Needed?
Abstract
We view a wireless sensor network as a collection of sensor nodes that observe sources of information, process the picked up data and send it to a sink node, with the goal of computing a desired function of the measurements. To this end, we consider a previously proposed coding scheme that exploits the underlying fading multiple-access channel (MAC) to efficiently estimate the function values. The main problem addressed in this paper is how much channel state information (CSI) is needed at the sensor nodes to obtain sufficiently good estimates? First we show that there is no performance loss, independent of fading distributions, if, instead of perfect CSI, each sensor node has only access to the modulus of its channel coefficient. In the case of multiple antenna elements at the sink node and specific independent distributed fading environments, it is shown that CSI at sensor nodes is not necessary and a very simple correction of fading effects can be performed at the sink based on some statistical channel knowledge. In many cases, fading improves the estimation accuracy due to the multiple-access nature of the channel.
Year
DOI
Venue
2010
10.1109/ICASSP.2010.5495989
2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING
Keywords
Field
DocType
Computation over MAC, communicating functions, in-network computation, wireless sensor networks
Sensor node,Mathematical optimization,Fading,Computer science,Stochastic process,Computer network,Algorithm,Communication channel,Coding (social sciences),Time division multiple access,Wireless sensor network,Channel state information
Conference
ISSN
Citations 
PageRank 
1520-6149
15
1.16
References 
Authors
1
2
Name
Order
Citations
PageRank
Mario Goldenbaum113513.40
Slawomir Stanczak252189.71