Adaptive Analog Function Computation via Fading Multiple-Access Channels

In this letter, we propose an adaptive analog function computation (AFC) via fading multiple-access channels in which multiple sensors simultaneously send their observations and then the fusion center computes the desired function via the superposition property of wireless channels. In particular, e...

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Vydáno v:IEEE communications letters Ročník 22; číslo 1; s. 213 - 216
Hlavní autoři: Jeon, Sang-Woon, Jung, Bang Chul
Médium: Journal Article
Jazyk:angličtina
Vydáno: IEEE 01.01.2018
Témata:
adaptive transmission
analog function computation
channel state information
Encoding
Estimation error
Fading channels
fading multiple-access channels
Function computation
Sensor fusion
Wireless communication
Wireless sensor networks
ISSN:1089-7798
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Shrnutí:In this letter, we propose an adaptive analog function computation (AFC) via fading multiple-access channels in which multiple sensors simultaneously send their observations and then the fusion center computes the desired function via the superposition property of wireless channels. In particular, each sensor adaptively sends its observation to the fusion center based on its causal channel state information (CSI). Numerical results show that the adaptive AFC significantly outperforms the conventional non-adaptive AFC in terms of the outage probability of function estimation error. The adaptive AFC operates in a fully distributed manner with local and causal CSI, applicable to various practical sensor network applications.
ISSN:1089-7798
DOI:10.1109/LCOMM.2017.2767027