Performance Analysis of Energy Detection for MIMO Decision Fusion in Wireless Sensor Networks Over Arbitrary Fading Channels

In this paper, we consider a wireless sensor network (WSN) with sensors simultaneously reporting their decision to a fusion center (FC) equipped with multiple antennas. A Gaussian mixture channel model is used to obtain a general fading characterization of the channels ensemble between the sensors a...

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Bibliographic Details
Published inIEEE transactions on wireless communications Vol. 15; no. 11; pp. 7794 - 7806
Main Authors Rossi, Pierluigi Salvo, Ciuonzo, Domenico, Kansanen, Kimmo, Ekman, Torbjorn
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Channels
Decision analysis
Decision fusion
energy detection
Fading
Fading channels
Gaussian mixture (GM)
Likelihood ratio
MIMO
MIMO communication
multiple-input multiple-output (MIMO)
Sensor fusion
Sensor systems
Sensors
Wireless communication
wireless sensor network (WSN)
Wireless sensor networks
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Summary:In this paper, we consider a wireless sensor network (WSN) with sensors simultaneously reporting their decision to a fusion center (FC) equipped with multiple antennas. A Gaussian mixture channel model is used to obtain a general fading characterization of the channels ensemble between the sensors and the FC. Energy detection is studied as an appealing low-complexity sub-optimal alternative to the (computationally expensive) optimal test based on log-likelihood ratio. Closed-form theoretical performance is obtained for the energy test and furthermore asymptotic analysis for both tests is derived in order to provide a detailed characterization of large-system scenarios. Finally, the simulation results are provided to confirm the theoretical results and compare performance trends of the two tests.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2016.2607703