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Low-complexity iterative detection for dual-mode index modulation in dispersive nonlinear satellite channels

Low-complexity iterative detection for dual-mode index modulation in dispersive nonlinear satellite channels
Low-complexity iterative detection for dual-mode index modulation in dispersive nonlinear satellite channels
The integration of terrestrial and satellite communications (Satcom) is advocated for satisfying the challenging requirements of seamless, high-performance services. However, both the bandwidth and the power available are limited over satellite channels. In this paper, we propose index modulation (IM) and code-aided Satcom by conveying information by a pair of distinguishable constellation modes and their permutations. In order to combat both the linear and nonlinear distortion
imposed by satellite channels, we conceive a factor graph (FG)-based iterative detection algorithm for Satcom relying on dualmode (DM) IM (Sat-DMIM). The correlation amongst Sat-DMIM symbols imposed by both the channel-induced dispersion and the mode-selection mapping is explicitly represented by the FG
constructed. Then the amalgamated belief propagation (BP) and mean field (MF) message passing algorithm is derived over this FG for detecting both the IM bits and the classic constellation mapping bits, while eliminating both the linear and nonlinear
distortions. The complexity of the iterative detection algorithm is reduced by linearizing some high-order terms appearing in nonlinear distortion components using the a posteriori estimates of the Sat-DMIM symbols obtained from the previous iteration. Our simulation results demonstrate the power of the proposed amalgamated BP-MF-based and partial linearization approximation-based iterative detection algorithms.
0090-6778
Shi, Qiaolin
c55f0976-45cf-433d-952e-43f07f0ee05e
Wu, Nan
f26dc0e1-7da9-4c52-a5a8-d6387a8853f2
Nguyen, Diep N.
2225425d-269c-4991-8483-4a5b5ac386f6
Huang, Xiaojing
dda503f6-c404-45f4-8129-dbf223d7cd1c
Wang, Hua
d2464222-af0f-49da-a6bb-8770dc1f0b11
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Shi, Qiaolin
c55f0976-45cf-433d-952e-43f07f0ee05e
Wu, Nan
f26dc0e1-7da9-4c52-a5a8-d6387a8853f2
Nguyen, Diep N.
2225425d-269c-4991-8483-4a5b5ac386f6
Huang, Xiaojing
dda503f6-c404-45f4-8129-dbf223d7cd1c
Wang, Hua
d2464222-af0f-49da-a6bb-8770dc1f0b11
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Shi, Qiaolin, Wu, Nan, Nguyen, Diep N., Huang, Xiaojing, Wang, Hua and Hanzo, Lajos (2021) Low-complexity iterative detection for dual-mode index modulation in dispersive nonlinear satellite channels. IEEE Transactions on Communications.

Record type: Article

Abstract

The integration of terrestrial and satellite communications (Satcom) is advocated for satisfying the challenging requirements of seamless, high-performance services. However, both the bandwidth and the power available are limited over satellite channels. In this paper, we propose index modulation (IM) and code-aided Satcom by conveying information by a pair of distinguishable constellation modes and their permutations. In order to combat both the linear and nonlinear distortion
imposed by satellite channels, we conceive a factor graph (FG)-based iterative detection algorithm for Satcom relying on dualmode (DM) IM (Sat-DMIM). The correlation amongst Sat-DMIM symbols imposed by both the channel-induced dispersion and the mode-selection mapping is explicitly represented by the FG
constructed. Then the amalgamated belief propagation (BP) and mean field (MF) message passing algorithm is derived over this FG for detecting both the IM bits and the classic constellation mapping bits, while eliminating both the linear and nonlinear
distortions. The complexity of the iterative detection algorithm is reduced by linearizing some high-order terms appearing in nonlinear distortion components using the a posteriori estimates of the Sat-DMIM symbols obtained from the previous iteration. Our simulation results demonstrate the power of the proposed amalgamated BP-MF-based and partial linearization approximation-based iterative detection algorithms.

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Accepted/In Press date: 13 November 2021
Published date: 18 November 2021

Identifiers

Local EPrints ID: 452295
URI: http://eprints.soton.ac.uk/id/eprint/452295
ISSN: 0090-6778
PURE UUID: 3fcee51d-4dc2-4a19-9016-3b3fef4d33e7
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 03 Dec 2021 17:32
Last modified: 18 Mar 2024 02:36

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Contributors

Author: Qiaolin Shi
Author: Nan Wu
Author: Diep N. Nguyen
Author: Xiaojing Huang
Author: Hua Wang
Author: Lajos Hanzo ORCID iD

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