{"title":"Spectrum Sharing in Cache-Empowered Wireless Networks: Reservation-Based Versus Auction-Based Approaches","authors":"Haiming Hui;Xin Guo;Haiming Wang;Wei Chen","doi":"10.1109/TCCN.2023.3293018","DOIUrl":null,"url":null,"abstract":"Spectrum sharing has attracted much recent attention from both industry and academia due to its significant potential of achieving high radio resource efficiency and scaling the service capability in wireless networks. However, how to fairly and efficiently share the radio spectrum or bandwidth in cache-empowered wireless networks remains open. In this paper, we present a reservation-based and an auction-based approach for dynamic spectrum access in cache-empowered wireless networks that serves both on-demand and pushing traffics. More specifically, a virtual network operator (VNO) is introduced as a spectrum access scheduler, which pays to the spectrum owner for the bandwidth it uses while charging its users for their content requests. To ensure the quality of service, a VNO is punished if it fails to satisfy a user’s request in peak time. By balancing the bandwidth cost and penalty, multiple VNOs may maximize the spectrum efficiency in a distributed manner. To further improve the spectrum efficiency in cache-empowered wireless networks, we formulate a linear program and a nonlinear program for both the reservation-based and the auction-based spectrum access, respectively. A modified deep Q-network algorithm is also presented to substantially reduce the computational complexity and to attain a distributed online spectrum sharing protocol.","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"9 5","pages":"1126-1140"},"PeriodicalIF":7.4000,"publicationDate":"2023-07-07","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/10175656/","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
Spectrum sharing has attracted much recent attention from both industry and academia due to its significant potential of achieving high radio resource efficiency and scaling the service capability in wireless networks. However, how to fairly and efficiently share the radio spectrum or bandwidth in cache-empowered wireless networks remains open. In this paper, we present a reservation-based and an auction-based approach for dynamic spectrum access in cache-empowered wireless networks that serves both on-demand and pushing traffics. More specifically, a virtual network operator (VNO) is introduced as a spectrum access scheduler, which pays to the spectrum owner for the bandwidth it uses while charging its users for their content requests. To ensure the quality of service, a VNO is punished if it fails to satisfy a user’s request in peak time. By balancing the bandwidth cost and penalty, multiple VNOs may maximize the spectrum efficiency in a distributed manner. To further improve the spectrum efficiency in cache-empowered wireless networks, we formulate a linear program and a nonlinear program for both the reservation-based and the auction-based spectrum access, respectively. A modified deep Q-network algorithm is also presented to substantially reduce the computational complexity and to attain a distributed online spectrum sharing protocol.
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.