A Pre-coded Generalized Frequency Division Multiplexing System
0453/KOL/2015 dated April 24, 2015
Novel / Special Features
• Special properties of modulation
matrices are exploited to get Block
IDFT pre-coding
• Pre-coding helps in combating
wireless channel
• Pre-coding reduces Peak power
to average power ratio
significantly
Abstract of invention
The present invention relates to Generalized Frequency
Division Multiplexing (GFDM). In particular, the present
invention is directed to develop a pre-coded generalized
frequency division multiplexing system based on properties of
modulation matrix of three advanced pre-coding schemes
namely Block Inverse Discrete Fourier Transform (BIDFT),
Discrete Fourier Transform (DFT) and Singular Value
Decomposition (SVD). Block inverse discrete Fourier transform
(BIDFT) and discrete Fourier transform (DFT)-based pre-coding
schemes are found to outperform conventional GFDM receiver
due to frequency diversity gain while having complexity similar
to zero forcing receiver of GFDM. Both BIDFT- and DFT-based
pre-coding schemes reduce peak-to-average power ratio
significantly.
Suvra Sekhar Das
Assistant Professor
GSSST, IIT Kharagpur
Shashank Tiwari
Doctoral Student
GSSST, IIT Kharagpur
QAM
Modu
lated
Data
Possible End Users
• 5G Applications
• Machine Type
Communication
• Very low latency
Applications
• Cognitive Radio

A Pre-coded Generalized Frequency Division Multiplexing System

  • 1.
    A Pre-coded GeneralizedFrequency Division Multiplexing System 0453/KOL/2015 dated April 24, 2015 Novel / Special Features • Special properties of modulation matrices are exploited to get Block IDFT pre-coding • Pre-coding helps in combating wireless channel • Pre-coding reduces Peak power to average power ratio significantly Abstract of invention The present invention relates to Generalized Frequency Division Multiplexing (GFDM). In particular, the present invention is directed to develop a pre-coded generalized frequency division multiplexing system based on properties of modulation matrix of three advanced pre-coding schemes namely Block Inverse Discrete Fourier Transform (BIDFT), Discrete Fourier Transform (DFT) and Singular Value Decomposition (SVD). Block inverse discrete Fourier transform (BIDFT) and discrete Fourier transform (DFT)-based pre-coding schemes are found to outperform conventional GFDM receiver due to frequency diversity gain while having complexity similar to zero forcing receiver of GFDM. Both BIDFT- and DFT-based pre-coding schemes reduce peak-to-average power ratio significantly. Suvra Sekhar Das Assistant Professor GSSST, IIT Kharagpur Shashank Tiwari Doctoral Student GSSST, IIT Kharagpur QAM Modu lated Data Possible End Users • 5G Applications • Machine Type Communication • Very low latency Applications • Cognitive Radio