DESIGN OF CHANNEL ESTIMATION METHODS FOR 5G COMMUNICATION

    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. time-frequency 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, time-frequency synchronization and equalization for classical CP-OFDM systems. Pilot-aided methods known from CP-OFDM 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

  • FBMC
  • UFMC
  • GFDM

Modulation Method

  • 16-QAM

MIMO System (2x2,4x4 and 8x8)
Channels

  • Rayleigh fading
  • AR (Auto-Regressive) based fading
  • Rician channel

Channel Estimation

  • MMSE
  • Liner interpolation schemes of comb-type channel estimation with the LS estimate at the pilot frequencies (Linear)
  • Spline interpolation schemes of comb-type channel estimation with the LS estimate at the pilot frequencies (Spline)
  • Low pass interpolation schemes of comb-type channel estimation with the LS estimate at the pilot frequencies (Low Pass)
  • Linear interpolation scheme for comb-type 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 Paper-1: Channel estimation and optimal pilot signals for universal filtered multi-carrier (UFMC) systems

Author’s Name: Lei Zhang, Chang He, Juquan Mao, Ayesha Ijaz, and Pei

Source: IEEE

Year: 2017

Reference Paper-2: 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 Paper-3: 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 

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SIMULATION VIDEO DEMO-UFMC                                                                                                                                   


SIMULATION VIDEO DEMO-FBMC

SIMULATION VIDEO DEMO-GFDM


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