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Numerical Modelling and Simulation of Improved Partial Transmit Sequence for PAPR Reduction in OFDM Communication System

Sonika Shivam, Abhishek Sharma

Abstract


Channel capacity and peak average to power ratio are essential elements in offering dependable communication through wireless medium in this competing wireless communication system. The rating of an amplifier in an OFDM system, as well as prospective future candidates of 5G systems such as FBMC and UFMC, is affected by a high peak to average power ratio. The demand for channel capacity fluctuates due to the growing number of wireless network users. MIMO-OFDM (Multiple Input Multiple Output and Orthogonal Frequency Division Multiplexing) is a compelling method for increasing the capacity of various fading channels. The employment of a power allocation method, however, limits the channel capacity. The Water Filling power allocation method is responsible for the current channel capacity. The goal is to develop, analyse, and apply an efficient PAPR reduction mechanism for OFDM systems based on improved Partial Transmit Sequence (PTS). The capacity augmentation of a MIMO OFDM system has also been described in the suggested research using a water filling technique to improve the efficiency of the OFDM system. The proposed study was compared to other recent algorithms such as Selective Mapping and Clipping. To visualise the performance of the suggested algorithm, capacity improvement strategies were also compared. In the proposed system, there was a 5% drop in channel capacity and peak average to power ratio. MATLAB is used to perform a detailed study, and the results are thoroughly presented to gain a better understanding of cooperative network dynamics.


Keywords


DCT, DWT, OFDM, MSE, AWGN, GUI, BER, MIMO OFDM, FFT OFDM, QPSK, PAPR, FDM, SLM, PTS

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References


Kumar, Akhilesh, et al. "Channel capacity enhancement using MIMO technology", Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on IEEE, 2012.

Qiu, Yang, Heng Liu, and Pingzhi Fan, "Capacity enhancement using cooperative distributed antenna system under LOS MIMO channels in high speed train scenario.", Signal Design and Its Applications in Communications, the Sixth International Workshop on IEEE, 2013.

Yuvaraj, R., and L. Nithyanandan, "Capacity enhancement with reduced complex receiver antenna selection algorithm for MIMO MC-CDMA system in mobile WiMAX networks", Power, Control, Communication and Computational Technologies for Sustainable Growth (PCCCTSG), 2015 Conference on IEEE, 2015.

Alen, Teo Choon Heng, A. S. Madhukumar, and Francois Chin, "Capacity enhancement of a multi-user OFDM system using dynamic frequency allocation", IEEE transactions on broadcasting 49.4 (2003): 344-353.

Hara, Shinsuke, and Yunjian Jia, "Capacity enhancement by virtual subcarrier assignment for OFDM-based wireless systems", Vehicular Technology Conference, 2004. VTC 2004-Spring. 2004 IEEE 59th. Vol. 3. IEEE, 2004.

Farzamnia, Ali, Eng Soo Yew, and Md Nazrul Islam.,"Investigation on channel capacity enhancement for MIMO-OFDM in fading channels using hybrid water filling and nash algorithm", Signal Processing & its Applications (CSPA), 2017 IEEE 13th International Colloquium on IEEE, 2017.

Jamaly, Nima, et al, "MIMO capacity enhancement beyond that of the ideal Rayleigh multipath by virtue of a leaky feeder cable", Antennas and Propagation (EuCAP), 2016 10th European Conference on IEEE, 2016.

Kim, Youngok, and Jaekwon Kim, "An efficient subcarrier allocation scheme for capacity enhancement in multiuser OFDM systems", Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE. 2008.

Nigam, Harshal, and Mithilesh Kumar, "Capacity enhancement and design analysis of UWB MIMO OFDM over SISO system using micro strip antennas.", Recent Advances and Innovations in Engineering (ICRAIE), 2014. IEEE, 2014.

Thomas, George, "OFDM capacity enhancement by selective channel use.", Military Communications Conference, 2009. MILCOM 2009. IEEE. 2009.

Kai, Wang, et al, "Dynamic measurement for compressed sensing based channel estimation in OFDM systems.", Computer and Communications (ICCC), 2017 3rd IEEE International Conference on. IEEE, 2017.

Uwaechia, Anthony Ngozichukwuka, and Nor Muzlifah Mahyuddin, "Collaborative framework of algorithms for sparse channel estimation in OFDM systems.", Journal of Communications and Networks 20.1 (2018): 9-19.

Carvajal, Rodrigo, Karen Rivas, and Juan C. Aguero, "Information criterion-based channel estimation in OFDM systems with time and frequency offset", Communications (LATINCOM), 2016 8th IEEE Latin-American Conference on. IEEE, 2016.

Deshmukh, Mrugen A., and Stephen G. Wilson. "Channel estimation in OFDM: Interpolation versus ESPRIT." Computing and Communication Workshop and Conference (CCWC), 2018 IEEE 8th Annual, IEEE, 2018.

Hojatian, Hamed, et al. "Joint CFO and channel estimation in OFDM-based massive MIMO systems." , Telecommunications (IST), 2016 8th International Symposium on IEEE, 2016.

Kallummil, Sreejith, and Sheetal Kalyani. "Sparse Channel Estimation in OFDM Systems with Virtual Sub-Carriers.", Global Communications Conference (GLOBECOM), 2016 IEEE, 2016.

Kaur, Ravinder, and Rinkesh Mittal. "Implementation of neural network for channel estimation in OFDM network." Contemporary Computing and Informatics (IC3I), 2016 2nd International Conference on IEEE, 2016.

Uwaechia, Anthony Ngozichukwuka, and Nor Muzlifah Mahyuddin. "New pilot allocation design schemes for sparse channel estimation in OFDM system", Signal and Image Processing Applications (ICSIPA), 2017 IEEE International Conference on IEEE, 2017.

Wang, Zhongju, Prabhu Babu, and Daniel P. Palomar. "Effective low-complexity optimization methods for joint phase noise and channel estimation in OFDM", IEEE Transactions on Signal Processing 65.12 (2017): 3247-3260.

Xin, Wang, and Zhang Xiaolin. "Channel estimation in OFDM-based systems under the aeronautical channels with large time delays", Wireless Communications & Signal Processing (WCSP), 2016 8th International Conference on IEEE, 2016.


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