Eigendecomposition-based GFDM for interference-free data transmission and pilot insertion for channel estimation

Jinkyo Jeong; Yosub Park; Sungwoo Weon; Jintae Kim; Sooyong Choi; Daesik Hong

doi:10.1109/TWC.2018.2864995

Eigendecomposition-based GFDM for interference-free data transmission and pilot insertion for channel estimation

Jinkyo Jeong, Yosub Park, Sungwoo Weon, Jintae Kim, Sooyong Choi, Daesik Hong

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

Abstract

This paper proposes a new generalized frequency division multiplexing (GFDM) system that eliminates the effects of intrinsic interference and makes it possible to insert a pilot for channel estimation without interference. We express inter-subsymbol interference (ISI) and inter-carrier interference (ICI), which represent the intrinsic interference in GFDM systems, in a matrix form. The proposed GFDM system can remove the ISI through pre-processing and post-processing, which are done by eigendecomposition. We analytically derive the sufficient condition for the ICI removal. In this way, the proposed GFDM system is able to eliminate the effects of both the ISI and ICI. Furthermore, we investigate the prototype filter structures of the proposed GFDM system transformed by pre-processing and post-processing. We verify that the changed prototype filter structures are able to insert pilot symbols that are orthogonal to data symbols. Hence, the pilot symbols for channel estimation can be clearly observed. Simulation results demonstrate that the proposed system has better BER performance than conventional GFDM systems when the channel estimation process is considered.

Original language	English
Article number	8440683
Pages (from-to)	6931-6943
Number of pages	13
Journal	IEEE Transactions on Wireless Communications
Volume	17
Issue number	10
DOIs	https://doi.org/10.1109/TWC.2018.2864995
Publication status	Published - 2018 Oct

Bibliographical note

Funding Information:
Manuscript received December 23, 2017; revised May 11, 2018; accepted August 3, 2018. Date of publication August 20, 2018; date of current version October 9, 2018. This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MSIT) (NRF-2018R1A2A1A05021029) and in part by the Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea Government (MSIP) (2016-0-00181, Development on the core technologies of transmission, modulation and coding with low-power and low-complexity for massive connectivity in the IoT environment). The associate editor coordinating the review of this paper and approving it for publication was N. Gonzalez-Prelcic. (Corresponding author: Daesik Hong.) J. Jeong, S. Weon, J. Kim, S. Choi, and D. Hong are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, South Korea (e-mail: uranus0917@yonsei.ac.kr; again@yonsei.ac.kr; in3614@yonsei.ac.kr; csyong@yonsei.ac.kr; daesikh@yonsei.ac.kr).

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/TWC.2018.2864995

Cite this

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title = "Eigendecomposition-based GFDM for interference-free data transmission and pilot insertion for channel estimation",

abstract = "This paper proposes a new generalized frequency division multiplexing (GFDM) system that eliminates the effects of intrinsic interference and makes it possible to insert a pilot for channel estimation without interference. We express inter-subsymbol interference (ISI) and inter-carrier interference (ICI), which represent the intrinsic interference in GFDM systems, in a matrix form. The proposed GFDM system can remove the ISI through pre-processing and post-processing, which are done by eigendecomposition. We analytically derive the sufficient condition for the ICI removal. In this way, the proposed GFDM system is able to eliminate the effects of both the ISI and ICI. Furthermore, we investigate the prototype filter structures of the proposed GFDM system transformed by pre-processing and post-processing. We verify that the changed prototype filter structures are able to insert pilot symbols that are orthogonal to data symbols. Hence, the pilot symbols for channel estimation can be clearly observed. Simulation results demonstrate that the proposed system has better BER performance than conventional GFDM systems when the channel estimation process is considered.",

author = "Jinkyo Jeong and Yosub Park and Sungwoo Weon and Jintae Kim and Sooyong Choi and Daesik Hong",

note = "Funding Information: Manuscript received December 23, 2017; revised May 11, 2018; accepted August 3, 2018. Date of publication August 20, 2018; date of current version October 9, 2018. This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MSIT) (NRF-2018R1A2A1A05021029) and in part by the Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea Government (MSIP) (2016-0-00181, Development on the core technologies of transmission, modulation and coding with low-power and low-complexity for massive connectivity in the IoT environment). The associate editor coordinating the review of this paper and approving it for publication was N. Gonzalez-Prelcic. (Corresponding author: Daesik Hong.) J. Jeong, S. Weon, J. Kim, S. Choi, and D. Hong are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, South Korea (e-mail: uranus0917@yonsei.ac.kr; again@yonsei.ac.kr; in3614@yonsei.ac.kr; csyong@yonsei.ac.kr; daesikh@yonsei.ac.kr). Publisher Copyright: {\textcopyright} 2018 IEEE.",

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AU - Kim, Jintae

AU - Choi, Sooyong

AU - Hong, Daesik

N1 - Funding Information: Manuscript received December 23, 2017; revised May 11, 2018; accepted August 3, 2018. Date of publication August 20, 2018; date of current version October 9, 2018. This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MSIT) (NRF-2018R1A2A1A05021029) and in part by the Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea Government (MSIP) (2016-0-00181, Development on the core technologies of transmission, modulation and coding with low-power and low-complexity for massive connectivity in the IoT environment). The associate editor coordinating the review of this paper and approving it for publication was N. Gonzalez-Prelcic. (Corresponding author: Daesik Hong.) J. Jeong, S. Weon, J. Kim, S. Choi, and D. Hong are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, South Korea (e-mail: uranus0917@yonsei.ac.kr; again@yonsei.ac.kr; in3614@yonsei.ac.kr; csyong@yonsei.ac.kr; daesikh@yonsei.ac.kr). Publisher Copyright: © 2018 IEEE.

PY - 2018/10

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N2 - This paper proposes a new generalized frequency division multiplexing (GFDM) system that eliminates the effects of intrinsic interference and makes it possible to insert a pilot for channel estimation without interference. We express inter-subsymbol interference (ISI) and inter-carrier interference (ICI), which represent the intrinsic interference in GFDM systems, in a matrix form. The proposed GFDM system can remove the ISI through pre-processing and post-processing, which are done by eigendecomposition. We analytically derive the sufficient condition for the ICI removal. In this way, the proposed GFDM system is able to eliminate the effects of both the ISI and ICI. Furthermore, we investigate the prototype filter structures of the proposed GFDM system transformed by pre-processing and post-processing. We verify that the changed prototype filter structures are able to insert pilot symbols that are orthogonal to data symbols. Hence, the pilot symbols for channel estimation can be clearly observed. Simulation results demonstrate that the proposed system has better BER performance than conventional GFDM systems when the channel estimation process is considered.

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Eigendecomposition-based GFDM for interference-free data transmission and pilot insertion for channel estimation

Abstract

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