Design and implementation of low power encoder incorporating adaptive modulation for multi user OFDM system

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    Wireless communication system is a key element in modern uninterupted data tramsnission and reception services. In this paper, multi user Orthogonal Frequency Division Multiplexing (OFDM) system is designed with low power encoder and adaptive modualtion architectures. The proposed multi user encoder architecture is designed in Verlog HDL and simulated in Modelsim simulator. Xilinx Project Navigator is used to evaluate the performance of the proposed architecture interms of power consumptions and hardware utilizations by implementing the architecture on different virtex processors.


  • Keywords


    Adaptive Modulation; Low Power; Communication System; Multi User; Simulation.

  • References


      [1] Q. Wang, Z. Wang and L. Dai, "Multiuser MIMO-OFDM for Visible Light Communications," IEEE Photonics Journal, vol. 7, no. 6, pp. 1-11, 2015.https://doi.org/10.1109/JPHOT.2015.2505145.

      [2] Abhinav Johri, Farooq Husain, and Ekta Agarwal, “Improving fitness factor of multi-user MIMO-OFDM based Visible light communication system by using genetic algorithms”, International Research Journal of Engineering and Technology, vol. 4, no. 5, 2017.

      [3] Rajbir Kaur, and Charanjit Kaur, “Investigation on Channel Estimation techniques for MIMO- OFDM System for QAM/QPSK Modulation”, International Journal of Computational Engineering Research, vol. 2, no. 5, pp. 1419-1424, 2012.

      [4] D. Kalaivani and S. Karthikeyen, “VLSI Implementation of Area-Efficient and Low Power OFDM Transmitter and Receive”, Indian Journal of Science and Technology, vol. 8, no. 18, pp. 657-667, 2015.https://doi.org/10.17485/ijst/2015/v8i18/63062.

      [5] Isael Diaz, Siyu Tan, Yun Miao, Leif Wilhelmsson, Ove Edfors and Viktor Öwall, "A 350μW Sign-Bit architecture for multi-parameter estimation during OFDM acquisition in 65nm CMOS", IEEE International Symposium on Circuits and Systems (ISCAS), Lisbon , pp. 2984-2987, 2015.

      [6] M. Ismail, I. Ahmed and J. Coon, “Low Power Decoding of LDPC Codes,” Hindawi Publishing Corporation ISRN Sensor Networks, vol 2013, no. 650740, pp.1-10, 2013.https://doi.org/10.1155/2013/650740.

      [7] H. Zhang, C. Li; S. Chen, X. Tan, N. Yan and H. Min, “A Low Power OFDM-Based Wake-Up Mechanism for IoE Applications,” IEEE Transactions on Circuits and Systems II: Express Briefs , vol. 5, no. 99, pp. 1-10, 2017.

      [8] E. Bedeer and M. J. Hossain, “Performance of Low-Complexity Uniform Power Loading OFDM Systems With Reduced Feedback Over Rayleigh Fading Channels,” IEEE Transactions on Wireless Communications, vol. 15, no. 6, pp. 3783-3795, 2016.https://doi.org/10.1109/TWC.2016.2528982.

      [9] Tran MinhHai, SaotomeRie, Taisaku Suzuki and Tomohisa Wada, “An Acoustic OFDM System with Symbol-by-Symbol Doppler Compensation for Underwater Communication,” The Scientific World Journal, vol. 2016, no. 7528353, pp.1-11, 2016.


 

View

Download

Article ID: 9732
 
DOI: 10.14419/ijet.v7i1.9.9732




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.