Hybrid Orthogonal Frequency Division Multiplexing with Subcarrier Number Modulation

Jun Li; Shuping Dang; Miaowen Wen; Shahid Mumtaz; Qiang Li; Constandinos X. Mavromoustakis

doi:10.1109/ICC42927.2021.9500748

Hybrid Orthogonal Frequency Division Multiplexing with Subcarrier Number Modulation

Jun Li, Shuping Dang, Miaowen Wen, Shahid Mumtaz, Qiang Li, Constandinos X. Mavromoustakis

Computer, Electrical and Mathematical Sciences and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we propose a hybrid OFDM-SNM scheme, named joint-mapping OFDM-SNM (JM-OFDM-SNM), to avoid transmitting variable lengths of information bits. In JM-OFDM-SNM, the signal vectors are generated by jointly considering subcarrier activation patterns and constellation symbols. To relieve the high computational complexity of the optimal maximum-likelihood (ML) detection, we design a low-complexity detection method via resorting to the log-likelihood ratio criterion. We also analyze the upper bound on the bit error rate of JM-OFDM-SNM. To further enhance the utilization of frequency resource, we propose a more general scheme, named adaptive JM-OFDM-SNM (AJM-OFDM-SNM), to accommodate the constellation orders for different numbers of activated subcarriers. Simulation results show that AJM-OFDM-SNM achieves better performance than both JM-OFDM-SNM and OFDM-SNM at the same spectral efficiency. The low-complexity detection method of JM-OFDM-SNM achieves very close performance to the optimal ML detection, and the theoretical curves well match the simulation curves in the high signal-to-noise ratio region.

Original language	English (US)
Title of host publication	ICC 2021 - IEEE International Conference on Communications
Publisher	IEEE
ISBN (Print)	978-1-7281-7123-4
DOIs	https://doi.org/10.1109/ICC42927.2021.9500748
State	Published - 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-08-10
Acknowledgements: This work was supported by the International Collaborative Research Program of Guangdong Science and Technology Department under Grant No.2020A0505100061, and the National Nature Science Foundation of China (61872102, 61871190).

Access to Document

10.1109/ICC42927.2021.9500748

Cite this

@inproceedings{2518271380c24f848b1d08534501ba79,

title = "Hybrid Orthogonal Frequency Division Multiplexing with Subcarrier Number Modulation",

abstract = "In this paper, we propose a hybrid OFDM-SNM scheme, named joint-mapping OFDM-SNM (JM-OFDM-SNM), to avoid transmitting variable lengths of information bits. In JM-OFDM-SNM, the signal vectors are generated by jointly considering subcarrier activation patterns and constellation symbols. To relieve the high computational complexity of the optimal maximum-likelihood (ML) detection, we design a low-complexity detection method via resorting to the log-likelihood ratio criterion. We also analyze the upper bound on the bit error rate of JM-OFDM-SNM. To further enhance the utilization of frequency resource, we propose a more general scheme, named adaptive JM-OFDM-SNM (AJM-OFDM-SNM), to accommodate the constellation orders for different numbers of activated subcarriers. Simulation results show that AJM-OFDM-SNM achieves better performance than both JM-OFDM-SNM and OFDM-SNM at the same spectral efficiency. The low-complexity detection method of JM-OFDM-SNM achieves very close performance to the optimal ML detection, and the theoretical curves well match the simulation curves in the high signal-to-noise ratio region.",

author = "Jun Li and Shuping Dang and Miaowen Wen and Shahid Mumtaz and Qiang Li and Mavromoustakis, {Constandinos X.}",

note = "KAUST Repository Item: Exported on 2021-08-10 Acknowledgements: This work was supported by the International Collaborative Research Program of Guangdong Science and Technology Department under Grant No.2020A0505100061, and the National Nature Science Foundation of China (61872102, 61871190).",

year = "2021",

doi = "10.1109/ICC42927.2021.9500748",

language = "English (US)",

isbn = "978-1-7281-7123-4",

booktitle = "ICC 2021 - IEEE International Conference on Communications",

publisher = "IEEE",

}

TY - GEN

T1 - Hybrid Orthogonal Frequency Division Multiplexing with Subcarrier Number Modulation

AU - Li, Jun

AU - Dang, Shuping

AU - Wen, Miaowen

AU - Mumtaz, Shahid

AU - Li, Qiang

AU - Mavromoustakis, Constandinos X.

N1 - KAUST Repository Item: Exported on 2021-08-10 Acknowledgements: This work was supported by the International Collaborative Research Program of Guangdong Science and Technology Department under Grant No.2020A0505100061, and the National Nature Science Foundation of China (61872102, 61871190).

PY - 2021

Y1 - 2021

N2 - In this paper, we propose a hybrid OFDM-SNM scheme, named joint-mapping OFDM-SNM (JM-OFDM-SNM), to avoid transmitting variable lengths of information bits. In JM-OFDM-SNM, the signal vectors are generated by jointly considering subcarrier activation patterns and constellation symbols. To relieve the high computational complexity of the optimal maximum-likelihood (ML) detection, we design a low-complexity detection method via resorting to the log-likelihood ratio criterion. We also analyze the upper bound on the bit error rate of JM-OFDM-SNM. To further enhance the utilization of frequency resource, we propose a more general scheme, named adaptive JM-OFDM-SNM (AJM-OFDM-SNM), to accommodate the constellation orders for different numbers of activated subcarriers. Simulation results show that AJM-OFDM-SNM achieves better performance than both JM-OFDM-SNM and OFDM-SNM at the same spectral efficiency. The low-complexity detection method of JM-OFDM-SNM achieves very close performance to the optimal ML detection, and the theoretical curves well match the simulation curves in the high signal-to-noise ratio region.

AB - In this paper, we propose a hybrid OFDM-SNM scheme, named joint-mapping OFDM-SNM (JM-OFDM-SNM), to avoid transmitting variable lengths of information bits. In JM-OFDM-SNM, the signal vectors are generated by jointly considering subcarrier activation patterns and constellation symbols. To relieve the high computational complexity of the optimal maximum-likelihood (ML) detection, we design a low-complexity detection method via resorting to the log-likelihood ratio criterion. We also analyze the upper bound on the bit error rate of JM-OFDM-SNM. To further enhance the utilization of frequency resource, we propose a more general scheme, named adaptive JM-OFDM-SNM (AJM-OFDM-SNM), to accommodate the constellation orders for different numbers of activated subcarriers. Simulation results show that AJM-OFDM-SNM achieves better performance than both JM-OFDM-SNM and OFDM-SNM at the same spectral efficiency. The low-complexity detection method of JM-OFDM-SNM achieves very close performance to the optimal ML detection, and the theoretical curves well match the simulation curves in the high signal-to-noise ratio region.

UR - http://hdl.handle.net/10754/670504

UR - https://ieeexplore.ieee.org/document/9500748/

U2 - 10.1109/ICC42927.2021.9500748

DO - 10.1109/ICC42927.2021.9500748

M3 - Conference contribution

SN - 978-1-7281-7123-4

BT - ICC 2021 - IEEE International Conference on Communications

PB - IEEE

ER -

Hybrid Orthogonal Frequency Division Multiplexing with Subcarrier Number Modulation

Abstract

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this