NDLI: Computation over fading multiple-access channels based on free deconvolution

Content Provider	IET Digital Library
Author	Wang, Lei Wang, Xiaodong Jiang, Guoping
Abstract	Wireless sensor networks (WSNs) enable the collection of physical measurements over a large geographic area. It is often the case that the authors are interested in computing and tracking the spatial-average of a function of the sensor measurements over a region covered by the WSN. Unfortunately, conventional methods need a large number of channel uses for collecting sensor data in the case of a large amount of sensors. They propose a novel computation scheme over fading multiple-access channels based on the asymptotic free behaviour of random matrices and the property of limit spectrum distribution of random matrices. The proposed scheme can greatly reduce the channel uses and does not need channel estimation. Moreover, the performance evaluations over multiple-input–multiple-output (MIMO) and MIMO-orthogonal frequency division multiplexing system demonstrate that the proposed method offers reliable mean computation of common functions of sensor data even for the case of small sample sizes.
Starting Page	283
Ending Page	289
Page Count	7
ISSN	20436386
Volume Number	5
e-ISSN	20436394
Issue Number	Issue 6, Dec (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-wss/5/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-wss.2014.0007
Journal	IET Wireless Sensor Systems
Publisher Date	2015-12-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Asymptotic Free Behaviour Computation Scheme Deconvolution Fading Channel Fading Multiple-access Channel Free Deconvolution Geographic Area Limit Spectrum Distribution Property Matrix Algebra MIMO Communication MIMO-orthogonal Frequency Division Multiplexing System Modulation And Coding Method Multi-access System Multiple Access Communication Multiple-input-multiple-output System OFDM Modulation Physical Measurement Radio Spectrum Management Random Matrix Reliability Sensor Data Collection Sensor Measurement Signal Processing And Detection Telecommunication Network Reliability Wireless Sensor Network WSN
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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