{"title":"On Distributed Dynamic Spectrum Allocation for Sequential Arrivals","authors":"László Toka, A. Korosi, A. Vidács","doi":"10.1109/DYSPAN.2010.5457904","DOIUrl":null,"url":null,"abstract":"We study the potential of a dynamic spectrum management framework that enables sequential allocation of frequency bands for wireless service providers. We present our distributed system design on allocation and pricing with the goal of achieving efficient spectrum utilization, flexible allocations and incentive-compatibility, considering physical interference model among frequency licensees. Our work provides insights on the emerging optimization problems related to the allocation. We show the analytic results that give ideas for well-established heuristics to these problems. We evaluate the proposed framework and algorithms numerically, and we arrive at the conclusion, that even by the simple proposed heuristics the system performs well, thus it is a suitable approach to a flexible distributed dynamic allocation framework.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DYSPAN.2010.5457904","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
We study the potential of a dynamic spectrum management framework that enables sequential allocation of frequency bands for wireless service providers. We present our distributed system design on allocation and pricing with the goal of achieving efficient spectrum utilization, flexible allocations and incentive-compatibility, considering physical interference model among frequency licensees. Our work provides insights on the emerging optimization problems related to the allocation. We show the analytic results that give ideas for well-established heuristics to these problems. We evaluate the proposed framework and algorithms numerically, and we arrive at the conclusion, that even by the simple proposed heuristics the system performs well, thus it is a suitable approach to a flexible distributed dynamic allocation framework.