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Iterative receiver design for FTN signaling aided sparse code multiple access

Iterative receiver design for FTN signaling aided sparse code multiple access
Iterative receiver design for FTN signaling aided sparse code multiple access

The sparse code multiple access (SCMA) is a promising candidate for bandwidth-efficient next generation wireless communications, since it can support more users than the number of resource elements. On the same note, faster-than-Nyquist (FTN) signaling can also be used to improve the spectral efficiency. Hence in this paper, we consider a combined uplink FTN-SCMA system in which the data symbols corresponding to a user are further packed using FTN signaling. As a result, a higher spectral efficiency is achieved at the cost of introducing intentional inter-symbol interference (ISI). To perform joint channel estimation and detection, we design a low complexity iterative receiver based on the factor graph framework. In addition, to reduce the signaling overhead and transmission latency of our SCMA system, we intrinsically amalgamate it with grant-free scheme. Consequently, the active and inactive users should be distinguished. To address this problem, we extend the aforementioned receiver and develop a new algorithm for jointly estimating the channel state information, detecting the user activity and for performs data detection. In order to further reduce the complexity, an energy minimization based approximation is employed for restricting the user state to Gaussian. Finally, a hybrid message passing algorithm is conceived. Our Simulation results show that the FTN-SCMA system relying on the proposed receiver design has a higher throughput than conventional SCMA scheme at a negligible performance loss.

Channel Estimation, Faster-than-Nyquist signaling, Sparse code multiple access, grant-free, high spectral efficiency, hybrid message passing
1536-1276
915-928
Yuan, Weijie
f1d6dc8e-6e97-4c5b-bfc7-78f48efb93b7
Wu, Nan
964cdaa3-e2ac-462f-8c54-4e4ef928248b
Zhang, J. Andrew
0fbe3cc6-d27c-4d9c-8f99-4e5a7b43c900
Huang, Xiaojing
dda503f6-c404-45f4-8129-dbf223d7cd1c
Li, Yonghui
3065a1c4-56db-4883-89c2-37b72b48f678
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Yuan, Weijie
f1d6dc8e-6e97-4c5b-bfc7-78f48efb93b7
Wu, Nan
964cdaa3-e2ac-462f-8c54-4e4ef928248b
Zhang, J. Andrew
0fbe3cc6-d27c-4d9c-8f99-4e5a7b43c900
Huang, Xiaojing
dda503f6-c404-45f4-8129-dbf223d7cd1c
Li, Yonghui
3065a1c4-56db-4883-89c2-37b72b48f678
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Yuan, Weijie, Wu, Nan, Zhang, J. Andrew, Huang, Xiaojing, Li, Yonghui and Hanzo, Lajos (2020) Iterative receiver design for FTN signaling aided sparse code multiple access. IEEE Transactions on Wireless Communications, 19 (2), 915-928, [8891911]. (doi:10.1109/TWC.2019.2950000).

Record type: Article

Abstract

The sparse code multiple access (SCMA) is a promising candidate for bandwidth-efficient next generation wireless communications, since it can support more users than the number of resource elements. On the same note, faster-than-Nyquist (FTN) signaling can also be used to improve the spectral efficiency. Hence in this paper, we consider a combined uplink FTN-SCMA system in which the data symbols corresponding to a user are further packed using FTN signaling. As a result, a higher spectral efficiency is achieved at the cost of introducing intentional inter-symbol interference (ISI). To perform joint channel estimation and detection, we design a low complexity iterative receiver based on the factor graph framework. In addition, to reduce the signaling overhead and transmission latency of our SCMA system, we intrinsically amalgamate it with grant-free scheme. Consequently, the active and inactive users should be distinguished. To address this problem, we extend the aforementioned receiver and develop a new algorithm for jointly estimating the channel state information, detecting the user activity and for performs data detection. In order to further reduce the complexity, an energy minimization based approximation is employed for restricting the user state to Gaussian. Finally, a hybrid message passing algorithm is conceived. Our Simulation results show that the FTN-SCMA system relying on the proposed receiver design has a higher throughput than conventional SCMA scheme at a negligible performance loss.

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Accepted/In Press date: 22 October 2019
e-pub ahead of print date: 5 November 2019
Published date: February 2020
Additional Information: Funding Information: Manuscript received May 8, 2019; revised August 29, 2019; accepted October 21, 2019. Date of publication November 5, 2019; date of current version February 11, 2020. This work was supported in part by the National Science Foundation of China (NSFC) under Grant 61571041 and Grant 61971041 and in part by A Foundation for the Author of National Excellent Doctoral Dissertation of China (FANEDD) under Grant 201445. The work of L. Hanzo was supported in part by the Engineering and Physical Sciences Research Council under Project EP/Noo4558/1 and Project EP/PO34284/1, in part by the COALESCE of the Royal Society’s Global Challenges Research Fund Grant, and 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 P. S. Rossi. (Corresponding Author: Nan Wu) W. Yuan was with the School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China. He is now with the School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW 2052, Australia (e-mail: weijie.yuan@unsw.edu.au). Publisher Copyright: © 2002-2012 IEEE.
Keywords: Channel Estimation, Faster-than-Nyquist signaling, Sparse code multiple access, grant-free, high spectral efficiency, hybrid message passing

Identifiers

Local EPrints ID: 435222
URI: http://eprints.soton.ac.uk/id/eprint/435222
ISSN: 1536-1276
PURE UUID: 4a127b7e-3d4a-4ce2-bc7f-d5135c5e6bb8
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 28 Oct 2019 17:30
Last modified: 18 Mar 2024 02:36

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Contributors

Author: Weijie Yuan
Author: Nan Wu
Author: J. Andrew Zhang
Author: Xiaojing Huang
Author: Yonghui Li
Author: Lajos Hanzo ORCID iD

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