{"title":"RIS-Aided Symbiotic Radio: A Number and Phase Modulation Approach","authors":"Yehuai Feng;Qiang Li;Yingyang Chen;Qingqing Wu;Miaowen Wen","doi":"10.1109/TCCN.2024.3438461","DOIUrl":null,"url":null,"abstract":"In this paper, a novel backscatter modulation scheme, termed number and phase modulation (NPM), is proposed for reconfigurable intelligent surface (RIS)-aided symbiotic radio (SR). In RIS-NPM, the number and phase shifts of RIS elements are jointly utilized to carry backscatter information. A bit-mapping method is designed by using the two information-bearing units. We develop two types of maximum-likelihood (ML) detectors that are based on instantaneous and statistic channel state information, respectively. A low-complexity detector that achieves a trade-off between performance and complexity is then designed. Closed-form upper bounds on the bit error rate (BER) are derived for both ML detectors over Rician fading channels. We further extend RIS-NPM to the scenario with multiple receive antennas, enhancing the spectral efficiency by embedding partial information into the antenna indices. For this extension, BER performance is analyzed by assuming energy-based ML detection. Computer simulations verify the analysis and show the superiority of RIS-NPM over the state-of-the-art RIS-based modulation schemes in SR.","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"10 5","pages":"1597-1607"},"PeriodicalIF":7.4000,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Cognitive Communications and Networking","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10623435/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, a novel backscatter modulation scheme, termed number and phase modulation (NPM), is proposed for reconfigurable intelligent surface (RIS)-aided symbiotic radio (SR). In RIS-NPM, the number and phase shifts of RIS elements are jointly utilized to carry backscatter information. A bit-mapping method is designed by using the two information-bearing units. We develop two types of maximum-likelihood (ML) detectors that are based on instantaneous and statistic channel state information, respectively. A low-complexity detector that achieves a trade-off between performance and complexity is then designed. Closed-form upper bounds on the bit error rate (BER) are derived for both ML detectors over Rician fading channels. We further extend RIS-NPM to the scenario with multiple receive antennas, enhancing the spectral efficiency by embedding partial information into the antenna indices. For this extension, BER performance is analyzed by assuming energy-based ML detection. Computer simulations verify the analysis and show the superiority of RIS-NPM over the state-of-the-art RIS-based modulation schemes in SR.
期刊介绍:
The IEEE Transactions on Cognitive Communications and Networking (TCCN) aims to publish high-quality manuscripts that push the boundaries of cognitive communications and networking research. Cognitive, in this context, refers to the application of perception, learning, reasoning, memory, and adaptive approaches in communication system design. The transactions welcome submissions that explore various aspects of cognitive communications and networks, focusing on innovative and holistic approaches to complex system design. Key topics covered include architecture, protocols, cross-layer design, and cognition cycle design for cognitive networks. Additionally, research on machine learning, artificial intelligence, end-to-end and distributed intelligence, software-defined networking, cognitive radios, spectrum sharing, and security and privacy issues in cognitive networks are of interest. The publication also encourages papers addressing novel services and applications enabled by these cognitive concepts.