{"title":"Evaluation of Various Interference Models for Joint Routing and Scheduling in Wireless Mesh Networks","authors":"Leonardo Badia, Alessio Botta","doi":"10.1109/GLOCOMW.2008.ECP.84","DOIUrl":null,"url":null,"abstract":"We explore radio resource allocation in wireless mesh networks, namely we study how to determine a space- and time-division pattern of transmissions, to deliver traffic to gateway nodes. We highlight link scheduling and routing issues, which we investigate in a cross-layer framework. To this end, an integer linear program is presented, where diverse constraints affect resource allocation; in particular, we focus in this paper on the key role played by the characterization of radio interference. Finally, we obtain numerical results through a genetic algorithm, and we are able to show that the wireless interference model adopted strongly affects the performance of the radio resource allocation; thus, an accurate representation of the wireless channel is necessary to obtain meaningful results.","PeriodicalId":410930,"journal":{"name":"2008 IEEE Globecom Workshops","volume":"31 9","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Globecom Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLOCOMW.2008.ECP.84","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
We explore radio resource allocation in wireless mesh networks, namely we study how to determine a space- and time-division pattern of transmissions, to deliver traffic to gateway nodes. We highlight link scheduling and routing issues, which we investigate in a cross-layer framework. To this end, an integer linear program is presented, where diverse constraints affect resource allocation; in particular, we focus in this paper on the key role played by the characterization of radio interference. Finally, we obtain numerical results through a genetic algorithm, and we are able to show that the wireless interference model adopted strongly affects the performance of the radio resource allocation; thus, an accurate representation of the wireless channel is necessary to obtain meaningful results.