{"title":"From Orthogonal Time–Frequency Space to Affine Frequency-Division Multiplexing: A comparative study of next-generation waveforms for integrated sensing and communications in doubly dispersive channels [Special Issue on Signal Processing for the Integrated Sensing and Communications Revolution]","authors":"Hyeon Seok Rou;Giuseppe Thadeu Freitas de Abreu;Junil Choi;David González G.;Marios Kountouris;Yong Liang Guan;Osvaldo Gonsa","doi":"10.1109/MSP.2024.3422653","DOIUrl":"https://doi.org/10.1109/MSP.2024.3422653","url":null,"abstract":"Next-generation wireless systems will offer integrated sensing and communications (ISAC) functionalities not only in order to enable new applications, but also as a means to mitigate challenges such as doubly-dispersive channels, which arise in high mobility scenarios and/or at millimeter-wave (mmWave) and Terahertz (THz) bands. An emerging approach to accomplish these goals is the design of new waveforms, which draw from the inherent relationship between the doubly-dispersive nature of timevariant (TV) channels and the environmental features of scatterers manifested in the form of multipath delays and Doppler shifts. Examples of such waveforms are the delay-Doppler domain orthogonal time frequency space (OTFS) and the recently proposed chirp domain affine frequency division multiplexing (AFDM), both of which seek to simultaneously combat the detrimental effects of double selectivity and exploit them for the estimation (or sensing) of environmental information. This article aims to provide a consolidated and comprehensive overview of the signal processing techniques required to support reliable ISAC over doubly-dispersive channels in beyond fifth generation (B5G)/sixth generation (6G) systems, with an emphasis on OTFS and AFDM waveforms, as those, together with the traditional orthogonal frequency division multiplexing (OFDM) waveform, suffice to elaborate on the most relevant properties of the trend. The analysis shows that OTFS and AFDM indeed enable significantly improved robustness against inter-carrier interference (ICI) arising from Doppler shifts compared to OFDM. In addition, the inherent delay-Doppler domain orthogonality of the OTFS and AFDM effective channels is found to provide significant advantages for the design and the performance of integrated sensing functionalities.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 5","pages":"71-86"},"PeriodicalIF":9.4,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142736372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Francesco Verde;Vincenzo Galdi;Lei Zhang;Tie Jun Cui
{"title":"Integrating Sensing and Communications: Simultaneously Transmitting and Reflecting Digital Coding Metasurfaces: A successful convergence of physics and signal processsing [Special Issue on Signal Processing for the Integrated Sensing and Communications Revolution]","authors":"Francesco Verde;Vincenzo Galdi;Lei Zhang;Tie Jun Cui","doi":"10.1109/MSP.2024.3471069","DOIUrl":"https://doi.org/10.1109/MSP.2024.3471069","url":null,"abstract":"Wireless networks are undergoing a transformative shift, driven by the crucial factors of cost-effectiveness and sustainability. Digital coding metasurfaces (DCMs) might play a key role in realizing cost-effective digital modulators by harnessing energy embedded in electromagnetic waves traversing through the air. Integrated sensing and communication (ISAC) optimizes power and spectral resources by combining sensing and communication functionalities on a shared hardware platform. This article presents a tutorial-style overview of the applications and advantages of DCMs in ISAC-based networks. Emphasis is placed on the dual functionality of ISAC, necessitating the design of DCMs with simultaneously transmitting and reflecting (STAR) capabilities for comprehensive space control. Additionally, the article explores key signal processing challenges and outlines future research directions stemming from the convergence of ISAC and emerging STAR-DCM technologies.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 5","pages":"56-70"},"PeriodicalIF":9.4,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142736268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SPS Social Media","authors":"","doi":"10.1109/MSP.2024.3494396","DOIUrl":"https://doi.org/10.1109/MSP.2024.3494396","url":null,"abstract":"","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 5","pages":"4-4"},"PeriodicalIF":9.4,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10769993","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142736376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Visa Koivunen;Musa Furkan Keskin;Henk Wymeersch;Mikko Valkama;Nuria González-Prelcic
{"title":"Multicarrier ISAC: Advances in waveform design, signal processing, and learning under nonidealities [Special Issue on Signal Processing for the Integrated Sensing and Communications Revolution]","authors":"Visa Koivunen;Musa Furkan Keskin;Henk Wymeersch;Mikko Valkama;Nuria González-Prelcic","doi":"10.1109/MSP.2024.3420492","DOIUrl":"https://doi.org/10.1109/MSP.2024.3420492","url":null,"abstract":"This paper addresses the topic of integrated sensing and communications (ISAC) in 5G and emerging 6G wireless networks. ISAC systems operate within shared, congested or even contested spectrum, aiming to deliver high performance in both wireless communications and radio frequency (RF) sensing. The expected benefits include more efficient utilization of spectrum, power, hardware (HW) and antenna resources. Focusing on multicarrier (MC) systems, which represent the most widely used communication waveforms, it explores the co-design and optimization of waveforms alongside multiantenna transceiver signal processing for communications and both monostatic and bistatic sensing applications of ISAC. Moreover, techniques of high practical relevance for overcoming and even harnessing challenges posed by non-idealities in actual transceiver implementations are considered. To operate in highly dynamic radio environments and target scenarios, both model-based structured optimization and learning-based methodologies for ISAC systems are covered, assessing their adaptability and learning capabilities under real-world conditions. The paper presents trade-offs in communication-centric and radar-sensing-centric approaches, aiming for an optimized balance in densely used spectrum.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 5","pages":"17-30"},"PeriodicalIF":9.4,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142736380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kai Wu;Jacopo Pegoraro;Francesca Meneghello;J. Andrew Zhang;Jesus O. Lacruz;Joerg Widmer;Francesco Restuccia;Michele Rossi;Xiaojing Huang;Daqing Zhang;Giuseppe Caire;Y. Jay Guo
{"title":"Sensing in Bistatic ISAC Systems With Clock Asynchronism: A signal processing perspective [Special Issue on Signal Processing for the Integrated Sensing and Communications Revolution]","authors":"Kai Wu;Jacopo Pegoraro;Francesca Meneghello;J. Andrew Zhang;Jesus O. Lacruz;Joerg Widmer;Francesco Restuccia;Michele Rossi;Xiaojing Huang;Daqing Zhang;Giuseppe Caire;Y. Jay Guo","doi":"10.1109/MSP.2024.3418725","DOIUrl":"https://doi.org/10.1109/MSP.2024.3418725","url":null,"abstract":"Integrated Sensing And Communication (ISAC) has been identified as a pillar usage scenario for the impending 6G era. Bi-static sensing, a major type of sensing in ISAC, is promising to expedite ISAC in the near future, as it requires minimal changes to the existing network infrastructure. However, a critical challenge for bi-static sensing is clock asynchronism due to the use of different clocks at far-separated transmitters and receivers. This causes the received signal to be affected by time-varying random phase offsets, severely degrading, or even failing, direct sensing. Hence, to effectively enable ISAC, considerable research has been directed toward addressing the clock asynchronism issue in bi-static sensing. This paper provides an overview of the issue and existing techniques developed in an ISAC background. Based on the review and comparison, we also draw insights into the future research directions and open problems, aiming to nurture the maturation of bi-static sensing in ISAC.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 5","pages":"31-43"},"PeriodicalIF":9.4,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142736378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Besma Smida;George C. Alexandropoulos;Taneli Riihonen;Md Atiqul Islam
{"title":"In-Band Full-Duplex Multiple-Input Multiple-Output Systems for Simultaneous Communications and Sensing: Challenges, methods, and future perspectives [Special Issue on Signal Processing for the Integrated Sensing and Communications Revolution]","authors":"Besma Smida;George C. Alexandropoulos;Taneli Riihonen;Md Atiqul Islam","doi":"10.1109/MSP.2024.3449565","DOIUrl":"https://doi.org/10.1109/MSP.2024.3449565","url":null,"abstract":"In-band full-duplex (FD) multiple-input, multiple-output (MIMO) systems offer a significant opportunity for integrated sensing and communications (ISAC) due to their capability to realize simultaneous signal transmissions and receptions. This feature has been recently exploited to devise spectrum-efficient simultaneous information transmission and monostatic sensing operations, a line of research typically referred to as \u0000<italic>MIMO FD-ISAC</i>\u0000. In this article, capitalizing on a recent FD MIMO architecture with reduced complexity analog cancellation, we present an FD-enabled framework for simultaneous communications and sensing using data signals. In contrast to communications applications, the framework’s goal is not to mitigate self-interference, since it includes reflections of the downlink data transmissions from targets in the FD node’s vicinity, but to optimize the system parameters for the intended dual functionality. The unique characteristics and challenges of a generic MIMO FD-ISAC system are discussed along with a broad overview of state-of-the-art special cases, including numerical investigations. Several directions for future work on FD-enabled ISAC relevant to signal processing communities are also provided.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 5","pages":"8-16"},"PeriodicalIF":9.4,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142736270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}