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http://dx.doi.org/10.9717/kmms.2014.17.8.1012

Bandwidth-Efficient Precoding Scheme for Downlink Smart Utility Networks  

Kim, Byung Wook (School of Electrical and Railway Engineering, Kyungil University)
Publication Information
Journal of Korea Multimedia Society / v.17, no.8, 2014 , pp. 1012-1019 More about this Journal
Abstract
The emerging smart utility networks (SUN) provide two-way communications between smart meters and smart appliances for purpose of low power usage, low cost, and high reliability. This paper deals with a bandwidth-efficient communication method based on the hidden pilot-aided scheme using a precoder in downlink SUN suitable for high-rate multimedia applications. With the aid of the design of a precoder and a superimposed hidden pilot, it is possible to estimate the channel without loss of bandwidth. In the channel estimation procedure, the inevitable data interference, which degrades the performance of channel estimation, can be reduced by the precoder design with an iterative scheme. Computer simulations show that the proposed scheme outperforms the conventional method in terms of achievable data rate, especially when a large number of subcarriers are employed.
Keywords
Smart Utility Networks; Precoding; Bandwidth Efficiency;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 NIST, The Smart Grid Interoperability Standards Roadmap, 2009.
2 IEEE 802. 15. 4-2011, Part 15. 4: Low-Rate Wireless Personal Area Networks, 2011.
3 K.-H. Chang and B. Mason, "The IEEE 802.15.4g Standard for Smart Utility Networks," Proceedings of IEEE 3rd International Conference on Smart Grid Communications (SmartGridComm), pp. 476-480, 2012.
4 D. Choi and I. Chung, "A Study of an Efficient ZigBee Address Assignment Scheme for Home Area Networks of Smart Grid," Journal of Korea Multimedia Society, Vol. 16, Issue 5, pp. 566-576, 2013.   과학기술학회마을   DOI
5 W.G. Jeon, K.H. Paik, and Y.S. Cho, "An Efficient Channel Estimation Technique for OFDM Systems with Transmitter Diversity," Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Vol. 2, pp. 1246-1250, 2000.
6 J.-S. Kim, H.-Y. Lee, Y.-R. Lee and B.-W. Kim, "Smart Social Grid System using Interactive Sketch Map," Journal of Korea Multimedia Society, Vol. 15, Issue 3, pp. 388-397, 2012.   과학기술학회마을   DOI
7 Dr David Hart, Smart Grid Overview, 15-09-0414-00-wng0, 2009.
8 IEEE Standard 802. 15. 4g, Part 15. 4: Low-Rate Wireless Personal Arae Networks (LRWPANs) Amendment 3: Physical Layer (PHY) Specifications for Low-Data-Rate, Wireless, Smart Metering Utility Networks, 2012.
9 S. Adireddy, L. Tong, and H. Viswanathan, "Optimal Placement of Training for Frequencyselective Blockfading Channels," IEEE Transactions on Information Theory, Vol. 48, Issue 8, pp. 2338-2352, 2002.   DOI   ScienceOn
10 H. Bolcskei, R.W. Heath, and A.J. Paulraj, "Blind Channel Identification and Equalization in OFDM based Multiantenna Systems," IEEE Transactions on Signal Processing, Vol. 50, Issue 1, pp. 96-109, 2002.   DOI
11 G.T. Zhou, M. Viberg, and T. McKelvey, "A First-order Statistical Method for Channel Estimation," IEEE Signal Processing Letters, Vol. 10, Issue 3, pp. 57-60, 2003.   DOI
12 M. Ghogho and A. Swami, "Improved Channel Estimation using Superimposed Training," Proceeding of International Conference on Acoustics, Speech and Signal Processing, pp. 110-114, 2004.
13 B.W. Kim, S.Y. Jung, J. Kim, and D.J. Park, "Hidden Pilot based Precoder Design for MIMO-OFDM Systems," IEEE Communications Letters, Vol. 12, Issue 9, pp. 657-659, 2008.   DOI
14 J.G. Proakis and M. Salehi, Digital Communications, McGraw-Hill Higher Education, New York, 2008.