Gong-Zheng Zhang, Aiping Huang, Tony Q. S. Quek, Hangguan Shan
{"title":"Delay analysis of heterogeneous cellular networks","authors":"Gong-Zheng Zhang, Aiping Huang, Tony Q. S. Quek, Hangguan Shan","doi":"10.1109/SPAWC.2015.7227023","DOIUrl":null,"url":null,"abstract":"Due to a wider range of services in future heterogeneous cellular network (HCN), packet transmission delay becomes a more essential performance metric for system design. In this paper, we propose an analytical framework to derive the delay performance of HCN in terms of local delay, by modeling the locations of base stations (BSs) in HCN as superimposed of independent Poisson point processes. In the analysis, the BS activity and temporal correlation of transmissions are taken into consideration, both of which have significant effect on network performance. The effect of mobility, BS density, and association bias factor is investigated through numerical results, which shows that network performance derived ignoring the temporal correlation of transmissions is optimistic.","PeriodicalId":211324,"journal":{"name":"2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2015.7227023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Due to a wider range of services in future heterogeneous cellular network (HCN), packet transmission delay becomes a more essential performance metric for system design. In this paper, we propose an analytical framework to derive the delay performance of HCN in terms of local delay, by modeling the locations of base stations (BSs) in HCN as superimposed of independent Poisson point processes. In the analysis, the BS activity and temporal correlation of transmissions are taken into consideration, both of which have significant effect on network performance. The effect of mobility, BS density, and association bias factor is investigated through numerical results, which shows that network performance derived ignoring the temporal correlation of transmissions is optimistic.