DocumentCode :
3577329
Title :
Coverage Enhancement of Smart Grid Communication Systems with Binary Coding
Author :
Saha, Himadri Subrah ; Roy, Rakhi
Author_Institution :
Grad. Inst. of Commun. Eng., Nat. Taipei Univ., Taipei, Taiwan
fYear :
2014
Firstpage :
610
Lastpage :
613
Abstract :
This is predicted by the researchers that smart grid will replace the traditional electric power grid within next decade. This can be used to enhance efficiency, sensing and metering technologies. A pervasive communication infrastructure is a part and parcel for the flawless development of smart grid. One of the main issues for the deployment of the communication system for smart devices in a smart grid communication system is the high data rate and the service coverage. Binary coding has already been a proven technique to extend the cellular communication coverage by recovering lost native packets. In order to enhance the coverage area in smart grid communication systems, we propose a cellular infrastructure with binary coding. We also explain the suitability of using the binary codebook in smart grid communication and how it can upgrade the system performance. Simulation results show that using binary coding we can serve more users which results in increase in the coverage area of the smart grid communication system.
Keywords :
binary codes; cellular radio; smart power grids; binary codebook; binary coding; cellular communication; cellular infrastructure; coverage enhancement; data rate; electric power grid; metering technologies; pervasive communication infrastructure; smart grid communication systems; system performance; Encoding; Network coding; Performance evaluation; Smart grids; Smart meters; Wireless communication; Binary Coding; Communication System; Coverage Enhancement; Smart Grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing(CPSCom), IEEE
Print_ISBN :
978-1-4799-5967-9
Type :
conf
DOI :
10.1109/iThings.2014.104
Filename :
7059730
Link To Document :
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