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