Performance Evaluation of GFDM Channel Estimation Using DFT for Tactile Internet Application
In this work, discrete Fourier transform (DFT)-based channel estimation is proposed in generalized frequency division multiplexing (GFDM) system. In the GFDM system, the subcarriers are non-orthogonal; therefore, the pilot symbols cannot be easily observed due to the interference from data symbols a...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-03-01
|
| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/10/5/595 |
| _version_ | 1797414754807971840 |
|---|---|
| author | Al Kautsar Permana Effrina Yanti Hamid |
| author_facet | Al Kautsar Permana Effrina Yanti Hamid |
| author_sort | Al Kautsar Permana |
| collection | DOAJ |
| description | In this work, discrete Fourier transform (DFT)-based channel estimation is proposed in generalized frequency division multiplexing (GFDM) system. In the GFDM system, the subcarriers are non-orthogonal; therefore, the pilot symbols cannot be easily observed due to the interference from data symbols and noise. The proposed method can improve the channel estimation of least square (LS) method by eliminating channel impulse response outside the number of actual impulse response. First, the received signal is demodulated using zero forcing demodulator. Then, it is divided with transmitted pilot symbols to obtain channel response. Interpolation in frequency and time domains is conducted to acquire channel response for all GFDM blocks. Finally, the channel estimation algorithm using DFT is performed. The parameters of the system are adjusted so that they are suitable for tactile internet application. The channel model used is NYUSIM, which utilizes mmWave. Three scenarios in NYUSIM such as urban microcell, urban macro cell and rural macro cell are used and power delay profiles generated from NYUSIM simulator are employed in this system. The results show that mean square error (MSE) from DFT-based channel estimation gives substantial improvement for all scenarios. In addition, symbol error rate (SER) of DFT-based channel estimation provides a slight improvement of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mo>~</mo></semantics></math></inline-formula>1.5 dB than LS channel estimation. |
| first_indexed | 2024-03-09T05:38:22Z |
| format | Article |
| id | doaj.art-d789ce2e4e6b4a16a075d843035a0529 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T05:38:22Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-d789ce2e4e6b4a16a075d843035a05292023-12-03T12:27:14ZengMDPI AGElectronics2079-92922021-03-0110559510.3390/electronics10050595Performance Evaluation of GFDM Channel Estimation Using DFT for Tactile Internet ApplicationAl Kautsar Permana0Effrina Yanti Hamid1Politeknik STMI Jakarta, Kementerian Perindustrian, Jakarta 10510, IndonesiaSchool of Electrical Engineering and Informatic, Institut Teknologi Bandung, Bandung 40132, IndonesiaIn this work, discrete Fourier transform (DFT)-based channel estimation is proposed in generalized frequency division multiplexing (GFDM) system. In the GFDM system, the subcarriers are non-orthogonal; therefore, the pilot symbols cannot be easily observed due to the interference from data symbols and noise. The proposed method can improve the channel estimation of least square (LS) method by eliminating channel impulse response outside the number of actual impulse response. First, the received signal is demodulated using zero forcing demodulator. Then, it is divided with transmitted pilot symbols to obtain channel response. Interpolation in frequency and time domains is conducted to acquire channel response for all GFDM blocks. Finally, the channel estimation algorithm using DFT is performed. The parameters of the system are adjusted so that they are suitable for tactile internet application. The channel model used is NYUSIM, which utilizes mmWave. Three scenarios in NYUSIM such as urban microcell, urban macro cell and rural macro cell are used and power delay profiles generated from NYUSIM simulator are employed in this system. The results show that mean square error (MSE) from DFT-based channel estimation gives substantial improvement for all scenarios. In addition, symbol error rate (SER) of DFT-based channel estimation provides a slight improvement of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mo>~</mo></semantics></math></inline-formula>1.5 dB than LS channel estimation.https://www.mdpi.com/2079-9292/10/5/595GFDMDFT-based channel estimationNYUSIMtactile internet |
| spellingShingle | Al Kautsar Permana Effrina Yanti Hamid Performance Evaluation of GFDM Channel Estimation Using DFT for Tactile Internet Application Electronics GFDM DFT-based channel estimation NYUSIM tactile internet |
| title | Performance Evaluation of GFDM Channel Estimation Using DFT for Tactile Internet Application |
| title_full | Performance Evaluation of GFDM Channel Estimation Using DFT for Tactile Internet Application |
| title_fullStr | Performance Evaluation of GFDM Channel Estimation Using DFT for Tactile Internet Application |
| title_full_unstemmed | Performance Evaluation of GFDM Channel Estimation Using DFT for Tactile Internet Application |
| title_short | Performance Evaluation of GFDM Channel Estimation Using DFT for Tactile Internet Application |
| title_sort | performance evaluation of gfdm channel estimation using dft for tactile internet application |
| topic | GFDM DFT-based channel estimation NYUSIM tactile internet |
| url | https://www.mdpi.com/2079-9292/10/5/595 |
| work_keys_str_mv | AT alkautsarpermana performanceevaluationofgfdmchannelestimationusingdftfortactileinternetapplication AT effrinayantihamid performanceevaluationofgfdmchannelestimationusingdftfortactileinternetapplication |