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Task ID: 1836.133 , Naofal Al-Dhahir (UT-Dallas) and Brian L. Evans (UT-Austin). Energy-Efficient Signal Processing Techniques For Smart Grid Heterogeneous Communication Networks. Task Description:
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Task ID: 1836.133, Naofal Al-Dhahir (UT-Dallas) and Brian L. Evans (UT-Austin) Energy-Efficient Signal Processing Techniques For Smart Grid Heterogeneous Communication Networks • Task Description: • Improve rate, reliability, and energy efficiency of two-way wireless and powerline communications (PLC) between smart meters & data concentrators in smart grids • Anticipated Results: • Signal processing algorithms and real-time prototypes to demonstrate enhanced performance of wireless and PLC transceivers for smart grids • Co-PIs/Collaborators: • Prof. N. Al-Dhahir (UT-Dallas) and Prof. B. L. Evans (UT-Austin) • Current StudentsCurrent Status • Mr. Mostafa Ibrahim Ph.D. (May 2017) Summer 2014 intern at TI • Dr. Jing Lin Ph.D. (May 2014) • Funding for three years: $360k • Industrial Liaisons: Dr. AnujBatra (TI), Dr. AnandDabak (TI), Dr. Il Han Kim (TI), Dr. TarkeshPande (TI), and Dr. KhurramWaheed (Freescale)
Task ID: 1836.133, Naofal Al-Dhahir (UT-Dallas) and Brian L. Evans (UT-Austin) Energy-Efficient Signal Processing Techniques For Smart Grid Heterogeneous Communication Networks Task Title (This slide will be used for SRC members only) Accomplishments • Narrowband-PLC/wireless diversity • Proposed maximum ratio combining that takes into account the impulsive noise variations • Performance analysis of narrowband PLC and wireless links in the presence of impulsive noise Fig.1: Block diagram for narrowband-PLC / wireless diversity • Impulsive noise mitigation in narrowband-PLC • Proposed time-frequency modulation diversity at transmitter and a diversity demodulator at receiver to improve reliability without decreasing data rates • Achieved over 1000x reduction in bit error rate in simulations using measured impulsive noise traces Publications M. Sayed and N. Al-Dhahir, “Narrowband-PLC/Wireless Diversity for Smart Grid Communications,” IEEE Globecom, 2014. J. Lin, T. Pande, I. H. Kim, A. Batra and B. L. Evans, ”Time-Frequency Modulation Diversity To Combat Periodic Impulsive Noise In Narrowband Powerline Communications'', IEEE Trans. Comm., submitted Mar. 11, 2014. Fig.2: Time-frequency modulation diversity. Components of a diversity codeword are marked in the same color.
Task ID: 1836.133, Naofal Al-Dhahir (UT-Dallas) and Brian L. Evans (UT-Austin) Energy-Efficient Signal Processing Techniques For Smart Grid Heterogeneous Communication Networks • State of Art: Smart grid communications via narrowband PLC and wireless is interference limited. Prior studies on interference mitigation and PLC/wireless diversity do not fully exploit statistics of impulsive noise in PLC. • Objectives: • Enhance communication performance and reduce power consumption of smart grid communications systems. • Novelty: • Narrowband-PLC/Wireless diversity • Time-frequency diversity modulation to combat impulsive noise in narrowband-PLC • Accomplishments: • Proposed maximum ratio combining that takes into account the impulsive noise variations • Proposed time-frequency modulation diversity at transmitter and a diversity demodulator at receiver to improve reliability without decreasing data rates • Important Publications: • M. Sayed and N. Al-Dhahir, “Narrowband-PLC/Wireless Diversity for Smart Grid Communications,” IEEE Globecom, 2014. • J. Lin, T. Pande, I. H. Kim, A. Batra and B. L. Evans, ”Time-Frequency Modulation Diversity To Combat Periodic Impulsive Noise In Narrowband Powerline Communications'', IEEE TCOM, submitted. Fig. 1: Average bit error rate of PLC with and without diversity combining with a fixed-SNR (Eb/No=6 dB) wireless link Fig.2: Time-frequency modulation diversity. Components of a diversity codeword (marked in the same color) are allocated to different subcarriers in different OFDM symbols.