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Low-Complexity Design of Quantizers for Distributed Systems

  • Kim, Yoon Hak (Department of Electronic Engineering, College of IT Convergence Engineering, Chosun University)
  • Received : 2018.07.23
  • Accepted : 2018.08.21
  • Published : 2018.09.30

Abstract

We present a practical design algorithm for quantizers at nodes in distributed systems in which each local measurement is quantized without communication between nodes and transmitted to a fusion node that conducts estimation of the parameter of interest. The benefits of vector quantization (VQ) motivate us to incorporate the VQ strategy into our design and we propose a low-complexity design technique that seeks to assign vector codewords into sets such that each codeword in the sets should be closest to its associated local codeword. In doing so, we introduce new distance metrics to measure the distance between vector codewords and local ones and construct the sets of vector codewords at each node to minimize the average distance, resulting in an efficient and independent encoding of the vector codewords. Through extensive experiments, we show that the proposed algorithm can maintain comparable performance with a substantially reduced design complexity.

Keywords

References

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