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 are investigated and compared between UFMC, FBMC and GFDM systems. A detailed comparison among GFDM, FBMC and UFMC are shown in simulation video demo.

Design Specifications

Methods
UFMC

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

Request source code for academic purpose REQUEST FORM below or contact whatsapp @[phone], fee applicable.

Students from Al-Quds University (University in Jerusalem), Israel can get the Matlab source codes for free of cost to complete the research work (Ph.D)

[asmaali]

thank you for this worthy contribution. I am PhD how I can get this code

[shiprarajbanshi]

Sir at least some explanation you could give using audio

[HRushikesh-vbuo]

I WANT CODE SIR, CAN YOU PLEASE GIVE ME