In this project, channel estimation techniques are studied and investigated for a novel multicarrier modulation scheme for 5G. 5th Generation wireless communication systems, which aims at replacing OFDM and enhances system robustness and performance in relaxed synchronization condition e.g. timefrequency misalignment. Thus, it may more efficiently support Machine Type Communication (MTC) and the Internet of Things (IoT), which are considered as challenging applications for the next generation of wireless communication systems. There exist many methods of channel estimation, timefrequency synchronization and equalization for classical CPOFDM systems. Pilotaided methods known from CPOFDM are adopted. In this design, channel estimation is investigated and compared between OFDM, UFMC, FBMC and GFDM systems. A detailed comparison among GFDM, FBMC, and UFMC are shown in the simulation video demo. Design Specifications Methods
Modulation Method
MIMO System (2x2,4x4 and 8x8) Channels
 Rayleigh fading
 AR (AutoRegressive) based fading
 Rician channel
Channel Estimation
 MMSE
 Liner interpolation schemes of combtype channel estimation with the LS estimate at the pilot frequencies (Linear)
 Spline interpolation schemes of combtype channel estimation with the LS estimate at the pilot frequencies (Spline)
 Low pass interpolation schemes of combtype channel estimation with the LS estimate at the pilot frequencies (Low Pass)
 Linear interpolation scheme for combtype channel estimation with LMS estimate at the pilot frequencies (LMS)
Number of Pilots
 M=64, M=128, M=256, M=512, M=1024 with different FFT/IFFT size
Result Evaluation
 BER vs SNR based on (Linear, Spline, Low Pass, LMS)
 BER vs SNR for the number of pilots (M=64, M=128, M=256, M=512, M=1024) for a Rayleigh fading channel.
 BER vs SNR for the number of pilots (M=64, M=128, M=256, M=512, M=1024) for AR based fading channel.
 BER vs SNR for =the number of pilots (M=64, M=128, M=256, M=512, M=1024) for Rician channel.
Reference Paper1: Channel estimation and optimal pilot signals for universal filtered multicarrier (UFMC) systems Author’s Name: Lei Zhang, Chang He, Juquan Mao, Ayesha Ijaz, and Pei
Source: IEEE
Year: 2017 Reference Paper2: Channel Estimation Techniques Based on Pilot Arrangement in OFDM Systems Author’s Name: Sinem Coleri, Mustafa Ergen, Anuj Puri, and Ahmad Bahai
Source: IEEE
Year: 2002 Reference Paper3: OFDM for 5G Cyclic Prefix versus Zero Postfix, and Filtering versus Windowing
Author’s Name: Sivarama Venkatesan and Reinaldo A. Valenzuela
Source: IEEE ICC 2016  Wireless Communications Symposium
Year:2016
Request source code for academic purpose, fill REQUEST FORM or contact +91 7904568456 by WhatsApp or sales@verilogcourseteam.com, fee applicable. SIMULATION VIDEO DEMOUFMC
SIMULATION VIDEO DEMOFBMC
SIMULATION VIDEO DEMOGFDM
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