DocumentCode :
1997345
Title :
Estimation Feedback and Bandwidth Allocation with the Type-Based Multiple-Access in Wireless Sensor Networks
Author :
Wang, Xin ; Yang, Chenyang
Author_Institution :
Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
fYear :
2010
fDate :
6-10 Dec. 2010
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we consider the decentralized estimation over non-orthogonal multiple-access fading channels (MACs) with zero-mean channel coefficients in wireless sensor networks (WSNs). Using the type-based multiple-access (TBMA) with bandwidth extension transmission scheme, we introduce a low-complexity two-stage estimator and analyze its performance. It shows that the performance can be improved by allocating bandwidth among types, but the optimal bandwidth allocation scheme requires a priori information of the parameter being observed. We then introduce a broadcasting feedback method for the sensors to obtain the required information. This feedback scheme is more efficient and feasible than the channel state information (CSI) feedback over orthogonal MACs. Besides the estimation accuracy, we also evaluate the bandwidth efficiency of the proposed methods by introducing a metric as the bandwidth normalized performance gain in simulations. It shows that the proposed feedback and bandwidth allocation schemes outperform the TBMA with CSI feedback in non-orthogonal MACs and the optimal transmission scheme in orthogonal MACs at typical operating signal-to-noise ratio levels of the WSNs.
Keywords :
bandwidth allocation; fading channels; feedback; multi-access systems; wireless sensor networks; CSI feedback; TBMA; WSN; a priori information; bandwidth extension transmission scheme; broadcasting feedback method; channel state information feedback; decentralized estimation; estimation feedback; low-complexity two-stage estimator; nonorthogonal multiple access fading channels; optimal bandwidth allocation scheme; optimal transmission scheme; signal-to-noise ratio levels; type-based multiple access; wireless sensor networks; zero-mean channel coefficients; Bandwidth; Channel allocation; Maximum likelihood estimation; Sensors; Signal to noise ratio; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
Conference_Location :
Miami, FL
ISSN :
1930-529X
Print_ISBN :
978-1-4244-5636-9
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2010.5683929
Filename :
5683929
Link To Document :
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