Factor graph based message passing algorithms for joint phase-noise estimation and decoding in OFDM-IM
Factor graph based message passing algorithms for joint phase-noise estimation and decoding in OFDM-IM
In order to glean benefits from orthogonal frequency division multiplexing combined with index modulation (OFDM-IM) in the presence of strong Phase-Noise (PHN), in this paper, low-complexity joint PHN estimation and decoding methods are developed in the framework of message passing on a factor
graph. Both the Wiener process and the truncated discrete cosine transform (DCT) expansion model are considered for approximating the PHN variation. Then based on these a factor graph is constructed for explicitly representing the joint estimation and detection problem. Taking full account of the sparse and structured a priori information arriving from the soft-in soft-out (SISO) decoder of a turbo receiver, a modified generalized approximate message passing (GAMP) algorithm is invoked for decoupling the frequency-domain symbols. In the decoupling step, mean field (MF) approximation is employed for solving the unknown nonlinear transform matrix problem imposed by PHN. Furthermore, merged belief propagation and MF (BP-MF) methods amalgamated both with sequential and parallel message passing schedules are introduced and compared to the proposed GAMP based algorithms in terms of their bit error ratio (BER) vs. complexity. Our simulation results demonstrate the efficiency of the proposed algorithms in the presence of both perfect and
imperfect channel state information.
Orthogonal frequency division multiplexing (OFDM), discrete cosine transform (DCT), index modulation (IM), message passing algorithm, phase noise (PHN)
2906-2921
Shi, Qiaolin
52eee4bb-2c53-41e1-8f67-5ebcd173143a
Wu, Nan
f26dc0e1-7da9-4c52-a5a8-d6387a8853f2
Wang, Hua
d2464222-af0f-49da-a6bb-8770dc1f0b11
Ma, Xiaoli
628d90e2-8682-4c26-9685-49b970525000
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
May 2020
Shi, Qiaolin
52eee4bb-2c53-41e1-8f67-5ebcd173143a
Wu, Nan
f26dc0e1-7da9-4c52-a5a8-d6387a8853f2
Wang, Hua
d2464222-af0f-49da-a6bb-8770dc1f0b11
Ma, Xiaoli
628d90e2-8682-4c26-9685-49b970525000
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Shi, Qiaolin, Wu, Nan, Wang, Hua, Ma, Xiaoli and Hanzo, Lajos
(2020)
Factor graph based message passing algorithms for joint phase-noise estimation and decoding in OFDM-IM.
IEEE Transactions on Communications, 68 (5), , [8993708].
(doi:10.1109/TCOMM.2020.2973080).
Abstract
In order to glean benefits from orthogonal frequency division multiplexing combined with index modulation (OFDM-IM) in the presence of strong Phase-Noise (PHN), in this paper, low-complexity joint PHN estimation and decoding methods are developed in the framework of message passing on a factor
graph. Both the Wiener process and the truncated discrete cosine transform (DCT) expansion model are considered for approximating the PHN variation. Then based on these a factor graph is constructed for explicitly representing the joint estimation and detection problem. Taking full account of the sparse and structured a priori information arriving from the soft-in soft-out (SISO) decoder of a turbo receiver, a modified generalized approximate message passing (GAMP) algorithm is invoked for decoupling the frequency-domain symbols. In the decoupling step, mean field (MF) approximation is employed for solving the unknown nonlinear transform matrix problem imposed by PHN. Furthermore, merged belief propagation and MF (BP-MF) methods amalgamated both with sequential and parallel message passing schedules are introduced and compared to the proposed GAMP based algorithms in terms of their bit error ratio (BER) vs. complexity. Our simulation results demonstrate the efficiency of the proposed algorithms in the presence of both perfect and
imperfect channel state information.
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More information
Accepted/In Press date: 2 February 2020
e-pub ahead of print date: 11 February 2020
Published date: May 2020
Additional Information:
Funding Information:
Manuscript received August 12, 2019; revised December 19, 2019 and January 24, 2020; accepted February 4, 2020. Date of publication February 11, 2020; date of current version May 15, 2020. This work was supported by the National Science Foundation of China (NSFC) under grants 61571041, 61971041, and 61471037. The work of L. Hanzo was supported in part by the Engineering and Physical Sciences Research Council under projects EP/Noo4558/1, EP/PO34284/1, COALESCE, also in part by the Royal Society’s Global Challenges Research Fund Grant, and also in part by the European Research Council’s Advanced Fellow Grant QuantCom. The associate editor coordinating the review of this article and approving it for publication was F. Verde. (Corresponding author: Nan Wu.) Qiaolin Shi is with the School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China, and also with the Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia (e-mail: qlshi@bit.edu.cn).
Publisher Copyright:
© 1972-2012 IEEE.
Keywords:
Orthogonal frequency division multiplexing (OFDM), discrete cosine transform (DCT), index modulation (IM), message passing algorithm, phase noise (PHN)
Identifiers
Local EPrints ID: 437877
URI: http://eprints.soton.ac.uk/id/eprint/437877
ISSN: 0090-6778
PURE UUID: 5b9544a5-4320-4c62-aa8e-cc861546d668
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Date deposited: 21 Feb 2020 17:31
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Qiaolin Shi
Author:
Nan Wu
Author:
Hua Wang
Author:
Xiaoli Ma
Author:
Lajos Hanzo
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