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Feedback Power Control Strategies inWireless Sensor Networks with Joint Channel Decoding

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Author(s): Andrea Abrardo | Gianluigi Ferrari | Marco Martalò | Fabio Perna

Journal: Sensors
ISSN 1424-8220

Volume: 9;
Issue: 11;
Start page: 8776;
Date: 2009;
Original page

Keywords: sensor networks | source correlation | feedback power control | joint channel decoding (JCD) | serially concatenated convolutional codes (SCCCs) | low-density parity-check (LDPC) codes | multiple access interference | noisy feedback | central estimating officer (CEO) problem | fusion

ABSTRACT
In this paper, we derive feedback power control strategies for block-faded multiple access schemes with correlated sources and joint channel decoding (JCD). In particular, upon the derivation of the feasible signal-to-noise ratio (SNR) region for the considered multiple access schemes, i.e., the multidimensional SNR region where error-free communications are, in principle, possible, two feedback power control strategies are proposed: (i) a classical feedback power control strategy, which aims at equalizing all link SNRs at the access point (AP), and (ii) an innovative optimized feedback power control strategy, which tries to make the network operational point fall in the feasible SNR region at the lowest overall transmit energy consumption. These strategies will be referred to as “balanced SNR” and “unbalanced SNR,” respectively. While they require, in principle, an unlimited power control range at the sources, we also propose practical versions with a limited power control range. We preliminary consider a scenario with orthogonal links and ideal feedback. Then, we analyze the robustness of the proposed power control strategies to possible non-idealities, in terms of residual multiple access interference and noisy feedback channels. Finally, we successfully apply the proposed feedback power control strategies to a limiting case of the class of considered multiple access schemes, namely a central estimating officer (CEO) scenario, where the sensors observe noisy versions of a common binary information sequence and the AP’s goal is to estimate this sequence by properly fusing the soft-output information output by the JCD algorithm.
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