Low-Complexity Detection for Index Modulation Multiple Access

Index modulation multiple access (IM-MA) is recently proposed to exploit the IM concept to the uplink multiple access system, where multiple users transmit their own signals via the selected time slots. However, the computational complexity of the optimal maximum-likelihood (ML) detection in IM-MA i...

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Veröffentlicht in:IEEE wireless communications letters Jg. 9; H. 7; S. 943 - 947
Hauptverfasser: Li, Jun, Li, Qiang, Dang, Shuping, Wen, Miaowen, Jiang, Xue-Qin, Peng, Yuyang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.07.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
bit error rate
Complexity
Computational complexity
Computer simulation
Electronic mail
Index modulation
Indexes
Likelihood ratio
Media
Modulation
multi-user system
Multiple access
OFDM
Permutations
Wireless communication
ISSN:2162-2337, 2162-2345
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Abstract Index modulation multiple access (IM-MA) is recently proposed to exploit the IM concept to the uplink multiple access system, where multiple users transmit their own signals via the selected time slots. However, the computational complexity of the optimal maximum-likelihood (ML) detection in IM-MA is tremendously high when the number of users or time slots is large. In this letter, we propose a low-complexity detection method for IM-MA, which is inspired by the log likelihood ratio (LLR) algorithm. In addition, because of the heavy search burden for all LLR values, we further propose a suboptimal method to determine the permutation set, which records the number of users allocated to each time slot. Simulation results and the complexity analysis verify that the proposed detection performs closely to the optimal ML detection with reduced computational complexity.
AbstractList Index modulation multiple access (IM-MA) is recently proposed to exploit the IM concept to the uplink multiple access system, where multiple users transmit their own signals via the selected time slots. However, the computational complexity of the optimal maximum-likelihood (ML) detection in IM-MA is tremendously high when the number of users or time slots is large. In this letter, we propose a low-complexity detection method for IM-MA, which is inspired by the log likelihood ratio (LLR) algorithm. In addition, because of the heavy search burden for all LLR values, we further propose a suboptimal method to determine the permutation set, which records the number of users allocated to each time slot. Simulation results and the complexity analysis verify that the proposed detection performs closely to the optimal ML detection with reduced computational complexity.
Author Li, Jun
Li, Qiang
Dang, Shuping
Jiang, Xue-Qin
Wen, Miaowen
Peng, Yuyang
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Snippet Index modulation multiple access (IM-MA) is recently proposed to exploit the IM concept to the uplink multiple access system, where multiple users transmit...
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SubjectTerms Algorithms
bit error rate
Complexity
Computational complexity
Computer simulation
Electronic mail
Index modulation
Indexes
Likelihood ratio
Media
Modulation
multi-user system
Multiple access
OFDM
Permutations
Wireless communication
Title Low-Complexity Detection for Index Modulation Multiple Access
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https://www.proquest.com/docview/2422036400
Volume 9
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