Title :
Distributed Multiple-Access for Smart Grid Home Area Networks: Compressed Sensing With Multiple Antennas
Author :
Louie, Raymond H. Y. ; Hardjawana, Wibowo ; Yonghui Li ; Vucetic, Branka
Author_Institution :
Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
Abstract :
This paper proposes the integration of multiple antenna technologies with compressed sensing algorithms to facilitate wireless multiple-access from smart meters to a central base station in smart grid home area networks. This integration is made possible by new precoding weight designs which utilize the multiple antennas for either achieving multiplexing or providing power-gain. For the multiplexing scheme, we show that the use of multiple antennas can significantly reduce the delay, particularly at high signal-to-noise ratios. For the power-gain scheme, we demonstrate that the use of multiple antennas enhances the performance of the compressed sensing algorithm by reducing the impact of unwanted noise, leading to a lower delay. Finally, we compare our distributed scheme with a carrier sense multiple-access scheme, and show that our scheme achieves a lower average delay for even a small number of transmitting nodes.
Keywords :
antenna arrays; carrier sense multiple access; distributed algorithms; home networks; multiplexing; precoding; radio networks; smart meters; smart power grids; carrier sense multiple-access scheme; central base station; compressed sensing algorithm; delay reduction; distributed algorithms; distributed multiple-access scheme; multiple antenna technology; multiplexing scheme; power-gain scheme; precoding weight designs; signal-to-noise ratios; smart grid communications; smart grid home area networks; smart meters; transmitting nodes; unwanted noise; wireless multiple-access; Base stations; Compressed sensing; Delays; Distributed algorithms; Multiplexing; Signal to noise ratio; Smart meters; Compressed sensing; distributed algorithms; multiple antennas; multiple-access; smart grid communications;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2014.2320925