Joint data and active user detection for grant-free FTN-NOMA in dynamic networks
Joint data and active user detection for grant-free FTN-NOMA in dynamic networks
Both faster than Nyquist (FTN) signaling and non-orthogonal multiple access (NOMA) are promising next generation wireless communications techniques as a benefit of their capability of improving the system's spectral efficiency. This paper considers an uplink system that combines the advantages of FTN and NOMA. Consequently, an improved spectral efficiency is achieved by deliberately introducing both inter-symbol interference (ISI) and inter-user interference (IUI). More specifically, we propose a grant-free transmission scheme to reduce the signaling overhead and transmission latency of the considered NOMA system. To distinguish the active and inactive users, we develop a novel message passing receiver that jointly estimates the channel state, detects the user activity, and performs decoding. We conclude by quantifying the significant spectral efficiency gain achieved by our amalgamated FTN-NOMA scheme compared to the orthogonal transmission system, which is up to 87.5.
Yuan, Weijie
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Wu, Nan
b22977ef-fd11-4eb1-8c5c-2b108b58907b
Yuan, Jinhong
d50102f7-4fbd-45e3-a5a9-7fee391481ce
Ng, Derrick Wing Kwan
8e2a32d3-cb0d-4c38-b05c-03ef16a5c707
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Yuan, Weijie
f1d6dc8e-6e97-4c5b-bfc7-78f48efb93b7
Wu, Nan
b22977ef-fd11-4eb1-8c5c-2b108b58907b
Yuan, Jinhong
d50102f7-4fbd-45e3-a5a9-7fee391481ce
Ng, Derrick Wing Kwan
8e2a32d3-cb0d-4c38-b05c-03ef16a5c707
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Yuan, Weijie, Wu, Nan, Yuan, Jinhong, Ng, Derrick Wing Kwan and Hanzo, Lajos
(2020)
Joint data and active user detection for grant-free FTN-NOMA in dynamic networks.
In 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings.
vol. 2020-June,
IEEE..
(doi:10.1109/ICC40277.2020.9149107).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Both faster than Nyquist (FTN) signaling and non-orthogonal multiple access (NOMA) are promising next generation wireless communications techniques as a benefit of their capability of improving the system's spectral efficiency. This paper considers an uplink system that combines the advantages of FTN and NOMA. Consequently, an improved spectral efficiency is achieved by deliberately introducing both inter-symbol interference (ISI) and inter-user interference (IUI). More specifically, we propose a grant-free transmission scheme to reduce the signaling overhead and transmission latency of the considered NOMA system. To distinguish the active and inactive users, we develop a novel message passing receiver that jointly estimates the channel state, detects the user activity, and performs decoding. We conclude by quantifying the significant spectral efficiency gain achieved by our amalgamated FTN-NOMA scheme compared to the orthogonal transmission system, which is up to 87.5.
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e-pub ahead of print date: 27 July 2020
Additional Information:
Funding Information:
This work is supported the Australia Research Council Discovery Project (DP190101363) and Linkage Projects (LP 160100708 and LP170101196). D. W. K. Ng is supported by funding from the UNSW Digital Grid Futures Institute, UNSW, Sydney, under a cross-disciplinary fund scheme and by the Australian Research Council’s Discovery Project (DP190101363). L. Hanzo would like to acknowledge the financial support of the Engineering and Physical Sciences Research Council projects EP/Noo4558/1, EP/PO34284/1, COALESCE, of the Royal Society’s Global Challenges Research Fund Grant as well as of the European Research Council’s Advanced Fellow Grant QuantCom.
Publisher Copyright:
© 2020 IEEE.
Venue - Dates:
2020 IEEE International Conference on Communications, ICC 2020, , Dublin, Ireland, 2020-06-07 - 2020-06-11
Identifiers
Local EPrints ID: 467439
URI: http://eprints.soton.ac.uk/id/eprint/467439
ISSN: 1550-3607
PURE UUID: 46b6a548-0a2b-43c4-8fb6-e3fefdcc9ddf
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Date deposited: 08 Jul 2022 16:39
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Weijie Yuan
Author:
Nan Wu
Author:
Jinhong Yuan
Author:
Derrick Wing Kwan Ng
Author:
Lajos Hanzo
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