CellNet '12Pub Date : 2012-08-13DOI: 10.1145/2342468.2342475
Shu Liu, A. Striegel
{"title":"Casting doubts on the viability of WiFi offloading","authors":"Shu Liu, A. Striegel","doi":"10.1145/2342468.2342475","DOIUrl":"https://doi.org/10.1145/2342468.2342475","url":null,"abstract":"With the advent of the smartphone, mobile data usage has exploded which in turn has created tremendous pressure on cellular data networks. A promising candidate to reduce the impact of cellular data growth is WiFi offloading. However, recent data from our study of two hundred student smartphone users casts doubts on the reductions that can be gained from WiFi offloading. Despite the users operating in a dense university WiFi environment, cellular consumption still dominated overall data usage. We believe the root cause of lesser WiFi utilization can be traced to the WiFi being optimized for laptop WiFi reception rather than the more constrained smartphone WiFi reception. Our work examines the relationship of WiFi versus 3G usage through a variety of aspects including active phone usage, application types, and traffic volume over an eight week period from the Spring of 2012.","PeriodicalId":164149,"journal":{"name":"CellNet '12","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117320661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
CellNet '12Pub Date : 2012-08-13DOI: 10.1145/2342468.2342471
Yu Jin, N. Duffield, Alexandre Gerber, P. Haffner, Wen-Ling Hsu, G. Jacobson, S. Sen, Shobha Venkataraman, Zhi-Li Zhang
{"title":"Characterizing data usage patterns in a large cellular network","authors":"Yu Jin, N. Duffield, Alexandre Gerber, P. Haffner, Wen-Ling Hsu, G. Jacobson, S. Sen, Shobha Venkataraman, Zhi-Li Zhang","doi":"10.1145/2342468.2342471","DOIUrl":"https://doi.org/10.1145/2342468.2342471","url":null,"abstract":"Using heterogeneous data sources collected from one of the largest 3G cellular networks in the US over three months, in this paper we investigate the usage patterns of mobile data users. We observe that data usage across mobile users are highly uneven. Most of the users access data services occasionally, while a small number of heavy users contribute to a majority of data usage in the network. We apply statistical tools, such as Markov model and tri-nonnegative matrix factorization, to characterize data users. We find that the intensive usage from heavy users can be attributed to a small number of applications, mostly video/audio streaming, data-intensive mobile apps, and popular social media sites. Our analysis provides a fine-grained categorization of data users based on their usage patterns and sheds light on the potential impact of different users on the cellular data network.","PeriodicalId":164149,"journal":{"name":"CellNet '12","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121717339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
CellNet '12Pub Date : 2012-08-13DOI: 10.1145/2342468.2342474
Kok-Kiong Yap, Te-Yuan Huang, Masayoshi Kobayashi, Yiannis Yiakoumis, N. McKeown, S. Katti, G. Parulkar
{"title":"Making use of all the networks around us: a case study in android","authors":"Kok-Kiong Yap, Te-Yuan Huang, Masayoshi Kobayashi, Yiannis Yiakoumis, N. McKeown, S. Katti, G. Parulkar","doi":"10.1145/2342468.2342474","DOIUrl":"https://doi.org/10.1145/2342468.2342474","url":null,"abstract":"Poor connectivity is common when we use wireless networks on the go. A natural way to tackle the problem is to take advantage of the multiple network interfaces on our mobile devices, and use all the networks around us. Using multiple networks at a time makes makes possible faster connections, seamless connectivity and potentially lower usage charges. The goal of this paper is to explore how to make use of all the networks with today's technology. Specifically, we prototyped a solution on an Android phone. Using our prototype, we demonstrate the benefits (and difficulties) of using multiple networks at the same time.","PeriodicalId":164149,"journal":{"name":"CellNet '12","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127618167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
CellNet '12Pub Date : 2012-08-13DOI: 10.1145/2342468.2342476
C. Paasch, G. Detal, F. Duchene, C. Raiciu, O. Bonaventure
{"title":"Exploring mobile/WiFi handover with multipath TCP","authors":"C. Paasch, G. Detal, F. Duchene, C. Raiciu, O. Bonaventure","doi":"10.1145/2342468.2342476","DOIUrl":"https://doi.org/10.1145/2342468.2342476","url":null,"abstract":"Mobile Operators see an unending growth of data traffic generated by their customers on their mobile data networks. As the operators start to have a hard time carrying all this traffic over 3G or 4G networks, offloading to WiFi is being considered. Multipath TCP (MPTCP) is an evolution of TCP that allows the simultaneous use of multiple interfaces for a single connection while still presenting a standard TCP socket API to the application. The protocol specification of Multipath TCP has foreseen the different building blocks to allow transparent handover from WiFi to 3G back and forth. In this paper we experimentally prove the feasibility of using MPTCP for mobile/WiFi handover in the current Internet. Our experiments run over real WiFi/3G networks and use our Linux kernel implementation of MPTCP that we enhanced to better support handover. We analyze MPTCP's energy consumption and handover performance in various operational modes. We find that MPTCP enables smooth handovers offering reasonable performance even for very demanding applications such as VoIP. Finally, our experiments showed that lost MPTCP control signals can adversely affect handover performance; we implement and test a simple but effective solution to this issue.","PeriodicalId":164149,"journal":{"name":"CellNet '12","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126638403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
CellNet '12Pub Date : 2012-08-13DOI: 10.1145/2342468.2342479
B. Sayraç, Janne Riihijärvi, P. Mähönen, S. B. Jemaa, É. Moulines, Sebastien Grimoud
{"title":"Improving coverage estimation for cellular networks with spatial bayesian prediction based on measurements","authors":"B. Sayraç, Janne Riihijärvi, P. Mähönen, S. B. Jemaa, É. Moulines, Sebastien Grimoud","doi":"10.1145/2342468.2342479","DOIUrl":"https://doi.org/10.1145/2342468.2342479","url":null,"abstract":"Cellular operators routinely use sophisticated planning tools to estimate the coverage of the network based on building and terrain data combined with detailed propagation modeling. Nevertheless, coverage holes still emerge due to equipment failures, or unforeseen changes in the propagation environment. For detecting these coverage holes, drive tests are typically used. Since carrying out drive tests is expensive and time consuming, there is significant interest in both improving the quality of the coverage estimates obtained from a limited number of drive test measurements, as well as enabling the incorporation of measurements from mobile terminals. In this paper we introduce a spatial Bayesian prediction framework that can be used for both of these purposes. We show that using techniques from modern spatial statistics we can significantly increase the accuracy of coverage predictions from drive test data. Further, we carry out a detailed evaluation of our framework in urban and rural environments, using realistic coverage data obtained from an operator planning tool for an operational cellular network. Our results indicate that using spatial prediction techniques can more than double the likelihood of detecting coverage holes, while retaining a highly acceptable false alarm probability.","PeriodicalId":164149,"journal":{"name":"CellNet '12","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130299504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
CellNet '12Pub Date : 2012-08-13DOI: 10.1145/2342468.2342472
Y. Zhang, Å. Arvidsson
{"title":"Understanding the characteristics of cellular data traffic","authors":"Y. Zhang, Å. Arvidsson","doi":"10.1145/2342468.2342472","DOIUrl":"https://doi.org/10.1145/2342468.2342472","url":null,"abstract":"Because of rapidly growing subscriber populations, advances in cellular communication technology, increasingly capable user terminals, and the expanding range of mobile applications, cellular networks have experienced a significant increase in data traffic, the dominant part of which is carried by the http protocol. Understanding the characteristics of this traffic is important for network design, traffic modeling, resource planning and network control. In this study we present a comprehensive characterization study of mobile http-based traffic using packet level traces collected in a large cellular network. We analyze the traffic using metrics at packet level, flow level and session level. For each metric, we conduct a comparison between traffic from different applications, as well as comparison to traffic in a wired network. Finally, we discuss the implications of our findings for better resource utilization in cellular infrastructures.","PeriodicalId":164149,"journal":{"name":"CellNet '12","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134167893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
CellNet '12Pub Date : 2012-08-13DOI: 10.1145/2342468.2342470
Haiqing Jiang, Zeyu Liu, Yaogong Wang, Kyunghan Lee, I. Rhee
{"title":"Understanding bufferbloat in cellular networks","authors":"Haiqing Jiang, Zeyu Liu, Yaogong Wang, Kyunghan Lee, I. Rhee","doi":"10.1145/2342468.2342470","DOIUrl":"https://doi.org/10.1145/2342468.2342470","url":null,"abstract":"Bufferbloat is a prevalent problem in the Internet where excessive buffers incur long latency, substantial jitter and sub-optimal throughput. This work provides the first elaborative understanding of bufferbloat in cellular networks. We carry out extensive measurements in the 3G/4G networks of the four major U.S. carriers to gauge the impact of bufferbloat in the field. Due to the bufferbloat problem, several pitfalls of current TCP protocols have been proposed in this paper. We also discover a trick employed by smart phone vendors to mitigate the issue and point out the limitations of such ad-hoc solutions. Our measurement study is coupled with theoretical analysis using queuing models. Finally, we comprehensively discuss candidate solutions to this problem and argue for a TCP-based end-to-end solution.","PeriodicalId":164149,"journal":{"name":"CellNet '12","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130970171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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