Anoop A. , Christo Kurisummoottil Thomas , Kala S. , J.V. Bibal Benifa , Walid Saad
{"title":"Dual-mode Index Modulation based on Affine Frequency Division Multiplexing","authors":"Anoop A. , Christo Kurisummoottil Thomas , Kala S. , J.V. Bibal Benifa , Walid Saad","doi":"10.1016/j.phycom.2025.102628","DOIUrl":null,"url":null,"abstract":"<div><div>Affine Frequency Division Multiplexing (AFDM) has been recognized for its superior bit error rate (BER) performance compared to Orthogonal Frequency Division Multiplexing (OFDM), especially under conditions of high mobility. This paper introduces a novel transmission method termed AFDM with Dual-Mode Index Modulation (AFDM-DM-IM), aiming to achieve an optimal balance between transmission reliability and spectral efficiency. To facilitate effective demodulation, two baseline detectors based on minimum mean squared error (MMSE) maximum likelihood (MMSE-ML) and MMSE log-likelihood ratio (MMSE-LLR) algorithms are developed. Furthermore, a deep learning-based demodulator (DeepADM) is proposed to account for the channel estimation error compared to baseline detectors such as MMSE-ML and MMSE-LLR. A theoretical analysis of the BER performance of AFDM-DM-IM is provided, along with simulation results. These results demonstrate superior performance of AFDM-DM-IM over both traditional AFDM and other existing index modulation system based on AFDM (AFDM-IM). This novel approach provides a promising pathway for the development of resilient and efficient communication systems in future high-mobility scenarios.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"70 ","pages":"Article 102628"},"PeriodicalIF":2.0000,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Communication","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S187449072500031X","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Affine Frequency Division Multiplexing (AFDM) has been recognized for its superior bit error rate (BER) performance compared to Orthogonal Frequency Division Multiplexing (OFDM), especially under conditions of high mobility. This paper introduces a novel transmission method termed AFDM with Dual-Mode Index Modulation (AFDM-DM-IM), aiming to achieve an optimal balance between transmission reliability and spectral efficiency. To facilitate effective demodulation, two baseline detectors based on minimum mean squared error (MMSE) maximum likelihood (MMSE-ML) and MMSE log-likelihood ratio (MMSE-LLR) algorithms are developed. Furthermore, a deep learning-based demodulator (DeepADM) is proposed to account for the channel estimation error compared to baseline detectors such as MMSE-ML and MMSE-LLR. A theoretical analysis of the BER performance of AFDM-DM-IM is provided, along with simulation results. These results demonstrate superior performance of AFDM-DM-IM over both traditional AFDM and other existing index modulation system based on AFDM (AFDM-IM). This novel approach provides a promising pathway for the development of resilient and efficient communication systems in future high-mobility scenarios.
期刊介绍:
PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published.
Topics of interest include but are not limited to:
Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.