Achievable Spectral Efficiency with SIT-Based Channel Estimation Method in Next Generation Cellular Networks

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)

Abstract

Based on today’s foreseen service requirements, such as live TV, video streaming, and file uploading and downloading; its needed to increase the data rates up to extreme level. This enhancement of data rates is highly depending on the usage of spectrum that how we are utilizing the available band to transmit data efficiently. In the present generation cellular networks, the channel estimation consumes some band of frequencies to determine the characteristics of wireless channel. Due to its (wireless channel) dynamic characteristics with respect to time and frequency, the conventional methods uses the more number of frequency bands hence the spectral efficiency decreases. This paper provides a technique to achieve higher spectral efficiency in next generation mobile networks with better system performance. In this method, a training sequence (reference pilot sequence) is superimposed along with the data sequence. At the receiver side, the same training sequence is used for estimating channel impulse response and then the data detection through the equalization. This estimated data are used recursively for channel re-estimation to increase the accuracy by minimizing the mean square error. From the simulation results and the numerical analysis, we show that the proposed method offers the better system performance with good spectral efficiency requirements.

Keywords

LTE OFDMA SNR Multiple-input multiple-output (MIMO) Superimposed training sequence Reference symbols 

References

  1. 1.
    Uma Shanker Jha, Ramjee Prasad “OFDM towards fixed and mobile broadband wireless access” Artech House Universal Personal Communications Series, 2007, ISBN-13: 978-1-58053-641-7.Google Scholar
  2. 2.
    3GPP, “Requirements for further advancements for Evolved Universal Terrestrial Radio Access (E-UTRA) (LTE-Advanced) (Release 9)”, 3GPP, Technical Report TR 36.913 v9.0.0.Google Scholar
  3. 3.
    Shinsuke Hara, Ramjee Prasad “Multicarrier Techniques for 4G Mobile Communications”. Artech House universal personal communications series, 2003, ISBN 1-58053-482-1.Google Scholar
  4. 4.
    J.W. Choi and Y.H. Lee, “Design of 2-D channel estimation filters for OFDM systems,’’ IEEE International Conference on Communications, vol. 4, pp. 2568–2572, May 2005.Google Scholar
  5. 5.
    Won-Gyu Song and Jong-Tae Lim, “Pilot-symbol aided channel estimation for OFDM with fast fading channels,” in IEEE Transactions on Broadcasting, vol. 49, no. 4, pp. 398–402, Dec. 2003. doi: 10.1109/TBC.2003.819049.Google Scholar
  6. 6.
    S. Park, B. Shim and J. W. Choi, “Iterative Channel Estimation Using Virtual Pilot Signals for MIMO-OFDM Systems,” in IEEE Transactions on Signal Processing, vol. 63, no. 12, pp. 3032–3045, June 15, 2015.Google Scholar
  7. 7.
    Rajarao, M.; Kumar, R.V.R.; Madhuri, D.; Latha, M., “Efficient channel estimation technique for LTE air interface,” in Microelectronics and Electronics (PrimeAsia), 2012 Asia Pacific Conference on Postgraduate Research in, vol., no., pp. 214–219, 5–7 Dec. 2012 doi: 10.1109/PrimeAsia.2012.6458657.Google Scholar
  8. 8.

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringUniversity of Petroleum & Energy StudiesDehradunIndia

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