William Lehr , Randall Berry , Igor Kadota , Carlos E. Caicedo Bastidas , Kangle Mu , Zongyun Xie , Irfan Tamim
{"title":"自动化频谱共享:自下而上的方法和研究议程","authors":"William Lehr , Randall Berry , Igor Kadota , Carlos E. Caicedo Bastidas , Kangle Mu , Zongyun Xie , Irfan Tamim","doi":"10.1016/j.telpol.2025.102937","DOIUrl":null,"url":null,"abstract":"<div><div>Future G networks will require more dynamic, agile support for the management of radio spectrum on a fine-grained basis. The radio access network (RAN) technologies necessary to enable Dynamic Spectrum Access (DSA) have progressed significantly over the past 20 years, but the challenges of realizing the potential for DSA requires the co-evolution of technologies, business models, and regulatory policy. This paper presents a multidisciplinary research effort to develop the building blocks needed to advance DSA. In particular, we focus on the use of standards-based Spectrum Consumption Models (SCMs) and review on-going research to incorporate SCMs in an automated management framework based on incentive-compatible, technically-sound spectrum access contracts referred to as Spectrum Access Agreements (SAAs). This paper introduces the core concepts of the SCM/SAA framework, project goals, and preliminary insights into how the framework can help improve spectrum management. The research on SCM/SAA represents a bottom-up effort to develop the techno-economic building blocks or tools to facilitate market-based experimentation and development of DSA based spectrum sharing markets, business models, and applications.</div></div>","PeriodicalId":22290,"journal":{"name":"Telecommunications Policy","volume":"49 5","pages":"Article 102937"},"PeriodicalIF":5.9000,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automating spectrum sharing: A bottom-up approach and research agenda\",\"authors\":\"William Lehr , Randall Berry , Igor Kadota , Carlos E. Caicedo Bastidas , Kangle Mu , Zongyun Xie , Irfan Tamim\",\"doi\":\"10.1016/j.telpol.2025.102937\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Future G networks will require more dynamic, agile support for the management of radio spectrum on a fine-grained basis. The radio access network (RAN) technologies necessary to enable Dynamic Spectrum Access (DSA) have progressed significantly over the past 20 years, but the challenges of realizing the potential for DSA requires the co-evolution of technologies, business models, and regulatory policy. This paper presents a multidisciplinary research effort to develop the building blocks needed to advance DSA. In particular, we focus on the use of standards-based Spectrum Consumption Models (SCMs) and review on-going research to incorporate SCMs in an automated management framework based on incentive-compatible, technically-sound spectrum access contracts referred to as Spectrum Access Agreements (SAAs). This paper introduces the core concepts of the SCM/SAA framework, project goals, and preliminary insights into how the framework can help improve spectrum management. The research on SCM/SAA represents a bottom-up effort to develop the techno-economic building blocks or tools to facilitate market-based experimentation and development of DSA based spectrum sharing markets, business models, and applications.</div></div>\",\"PeriodicalId\":22290,\"journal\":{\"name\":\"Telecommunications Policy\",\"volume\":\"49 5\",\"pages\":\"Article 102937\"},\"PeriodicalIF\":5.9000,\"publicationDate\":\"2025-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Telecommunications Policy\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0308596125000345\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMMUNICATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Telecommunications Policy","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0308596125000345","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
Automating spectrum sharing: A bottom-up approach and research agenda
Future G networks will require more dynamic, agile support for the management of radio spectrum on a fine-grained basis. The radio access network (RAN) technologies necessary to enable Dynamic Spectrum Access (DSA) have progressed significantly over the past 20 years, but the challenges of realizing the potential for DSA requires the co-evolution of technologies, business models, and regulatory policy. This paper presents a multidisciplinary research effort to develop the building blocks needed to advance DSA. In particular, we focus on the use of standards-based Spectrum Consumption Models (SCMs) and review on-going research to incorporate SCMs in an automated management framework based on incentive-compatible, technically-sound spectrum access contracts referred to as Spectrum Access Agreements (SAAs). This paper introduces the core concepts of the SCM/SAA framework, project goals, and preliminary insights into how the framework can help improve spectrum management. The research on SCM/SAA represents a bottom-up effort to develop the techno-economic building blocks or tools to facilitate market-based experimentation and development of DSA based spectrum sharing markets, business models, and applications.
期刊介绍:
Telecommunications Policy is concerned with the impact of digitalization in the economy and society. The journal is multidisciplinary, encompassing conceptual, theoretical and empirical studies, quantitative as well as qualitative. The scope includes policy, regulation, and governance; big data, artificial intelligence and data science; new and traditional sectors encompassing new media and the platform economy; management, entrepreneurship, innovation and use. Contributions may explore these topics at national, regional and international levels, including issues confronting both developed and developing countries. The papers accepted by the journal meet high standards of analytical rigor and policy relevance.