{"title":"Capacity analysis of a cross layer downlink model in the presence of fading and interference","authors":"D. Arora, P. Agathoklis","doi":"10.1109/ISSPIT.2005.1577136","DOIUrl":null,"url":null,"abstract":"A semi-analytical framework for capacity analysis of a downlink channel in the presence of fading and interference from other users is presented. The users are selected for service based on the selection criteria such as RR, greedy and scheduling algorithm proposed in D. Arora and P. Agathoklis, 2005. The fading is modelled using a Nakagami model. The results obtained show that by explicitly taking into consideration for the selection of users served simultaneously both, the angular location of mobile users around the base station and the instantaneous SNR at the MAC layer, an improved system capacity is achieved. This improvement is due to the reduced interference that simultaneously served users cause on each other. The results show that jointly addressing the PHY and MAC layer issues in an integrated cross-layer framework is important for improving system performance","PeriodicalId":421826,"journal":{"name":"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2005.1577136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A semi-analytical framework for capacity analysis of a downlink channel in the presence of fading and interference from other users is presented. The users are selected for service based on the selection criteria such as RR, greedy and scheduling algorithm proposed in D. Arora and P. Agathoklis, 2005. The fading is modelled using a Nakagami model. The results obtained show that by explicitly taking into consideration for the selection of users served simultaneously both, the angular location of mobile users around the base station and the instantaneous SNR at the MAC layer, an improved system capacity is achieved. This improvement is due to the reduced interference that simultaneously served users cause on each other. The results show that jointly addressing the PHY and MAC layer issues in an integrated cross-layer framework is important for improving system performance
提出了在存在衰落和其他用户干扰的情况下下行信道容量分析的半解析框架。用户的选择基于RR、贪心和调度算法(D. Arora and P. Agathoklis, 2005)等选择准则。衰落是用Nakagami模型来建模的。结果表明，通过明确考虑同时服务用户的选择、移动用户在基站周围的角度位置和MAC层的瞬时信噪比，提高了系统容量。这种改进是由于减少了同时服务的用户对彼此造成的干扰。结果表明，在集成的跨层框架中共同解决物理层和MAC层问题对于提高系统性能具有重要意义
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