Abstract
With emerge of increasing research in domain of future wireless communications, massive multiple input multiple output (MIMO) attracted most of researchers interests. Massive MIMO is nothing but high speed wireless communication standards. The performance of MIMO systems is based on techniques used for channel estimation. Efficient channel estimation leads to spectral efficient wireless communications. There are number of channel estimation techniques presented recently in literature with pros and cons. The recent method shows the spectral and bit error rate (BER) efficiency, however apart from this, there is need of improving the peak to average power ratio (PAPR). Recently we proposed, novel channel estimation method as the existing channel estimation techniques failed to effectively solve the inter symbol interference (ISI) problem. The presence of ISI in MIMO-OFDM may leads to worst performance. Our proposed blind channel estimation is combined with independent component analysis (ICA) hence this method is called as hybrid ICA (HICA) to minimize the ISI effect. The extensive simulation analysis of proposed HICA required to claiming the scalability as well as reliability. In this paper, proposed study on additional performance metrics such as PAPR and computational costs (energy) along with BER and spectral efficiency performances. The result claims that HICA is not improving the PAPR and energy performances significantly.
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References
Shin, C., Jr., Heath, R. W., & Powers, E. J. (2007). Blind channel estimation for MIMO-OFDM systems. IEEE Transactions on Vehicular Technology, 56(2), 670–685.
Sahraoui, L., Messadeg, D., & Doghmane, N. (2013). Analyses and performance of techniques PAPR reduction for STBC MIMO-OFDM system in (4G) wireless communication. International Journal of Wireless & Mobile Networks (IJWMN), 5(5), 35–48.
Sunil Kumar, P., Sumithra, M. G., & Praveen Kumar, E. (2013). Performance analysis of P APR reduction in STBC MIMO-OFDM system. In 2013 fifth international conference on advanced computing (ICoAC).
Hung, Y.-C., & Tsai, S.-H. (2014). PAPR analysis and mitigation algorithms for beam forming MIMO OFDM systems. IEEE Transactions on Wireless Communications, 13, 2588–2600.
Sujitha, S., & Ramachandran, R. (2014). Performance analysis of PAPR reduction in MIMO OFDM system using modified constant modulus algorithm. IJAREEIE, 3(Special Issue 2), 520–526.
Singh, S., & Kumar, A. (2016). Performance analysis of adaptive clipping technique for reduction of PAPR in alamouti coded MIMO-OFDM systems. In 6th international conference on advances in computing & communications, ICACC 2016, 6–8 September 2016, Cochin, India.
Misra, G., & Agarwal, A. (2016). A technological analysis and survey on peak-to-average power reduction (PAPR) in MIMO-OFDM wireless system. In International conference on electrical, electronics, and optimization techniques (ICEEOT).
Shao, X., Chen, J., & Kuo, Y. (2011). Blind channel estimation for MIMO-OFDM systems based on repetition index. In 2011 international conference on internet computing and information services. IEEE.
Sarmadi, N., & Pesavento, M. (2011). Closed-form blind channel estimation in orthogonally coded MIMO-OFDM systems: A simple strategy to resolve non-scalar ambiguities. In 2011 IEEE 12th international workshop on signal processing advances in wireless communications.
Tu, C.-C., & Champagne, B. (2012). Blind recursive sub-space-based identification of time-varying wideband MIMO channels. IEEE Transactions on Vehicular Technology, 61(2), 662–674.
Jiang, J.-D., Lin, T.-C., & Phoong, S.-M. (2014). New sub-space-based blind channel estimation for orthogonally coded MIMO-OFDM systems. In 2014 IEEE international conference on acoustic, speech and signal processing (ICASSP).
Abdel-Hamid, G. M., & Saad, R. S. (2016). Blind channel estimation using wavelet denoising of independent component analysis for LTE. Indonesian Journal of Electrical Engineering and Computer Science, 1(1), 126–137.
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Reprinted/adapted by permission from Springer Nature Customer Service Centre GmbH: Book Publisher Springer International Publishing AG 2018, Springer Nature Software Engineering Research, Management and Applications, chapter3, Blind channel Estimation Using Novel Independent Component Analysis with Pulse Shaping for Interference Cancellation by Renuka Bhandari, Sangeeta Jadhav Springer International Publishing AG 2018, 2018.
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Bhandari, R., Jadhav, S. Novel Spectral Efficient Technique for MIMO-OFDM Channel Estimation with Reference to PAPR and BER Analysis. Wireless Pers Commun 104, 1227–1242 (2019). https://doi.org/10.1007/s11277-018-6077-7
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DOI: https://doi.org/10.1007/s11277-018-6077-7