It is our great pleasure to welcome you to the 2012 ACM SIGCOMM Workshop on Cellular Networks: Operations, Challenges, and Future Design (CellNet). With the popularity of smart phones and tablets, we are living in an increasingly mobile world. Mobile applications such as Apple Siri and Foursquare are rapidly growing everyday and greatly enrich our lives. The ecosystem for mobile applications is vibrant and conducive to open innovation. Even one of the most popular mobile OS -- Android operation system is open source. This allows many phone and tablet vendors to innovate on the hardware and firmware. Underpinning this mobile world, it is the cellular networks. Unfortunately, the cellular networks present a rather disheartening picture. They are closed, mostly proprietary, and constructed using closed monolithic equipment. The innovation is limited to a very small number of equipment vendors, not open to the general research community. The closed nature of cellular networks threatens to derail the mobile revolution or limit its true potential.
Research innovation in mobile cellular networks is hampered by the fact that most academic researchers have no access to cellular radios, source codes of cellular network equipment, cellular network management tools, and realistic network traces at scale. As a result, most wireless research is conducted using WiFi. We believe this situation much change. To effect change, this workshop brings network operators, and academic researchers together to address the problems. First, we would like academic researchers to understand operational aspects of cellular networks. Second, we would like researchers from academia and industry to jointly identify the challenges, and propose future designs so that cellular networks can evolve to meet the growing challenges of a mobile world.
Proceeding Downloads
Understanding bufferbloat in cellular networks
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 ...
Characterizing data usage patterns in a large cellular network
- Yu Jin,
- Nick Duffield,
- Alexandre Gerber,
- Patrick Haffner,
- Wen-Ling Hsu,
- Guy Jacobson,
- Subhabrata Sen,
- Shobha Venkataraman,
- Zhi-Li Zhang
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. ...
Understanding the characteristics of cellular data traffic
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 ...
Making use of all the networks around us: a case study in android
- Kok-Kiong Yap,
- Te-Yuan Huang,
- Masayoshi Kobayashi,
- Yiannis Yiakoumis,
- Nick McKeown,
- Sachin Katti,
- Guru Parulkar
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 ...
Casting doubts on the viability of WiFi offloading
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 ...
Exploring mobile/WiFi handover with multipath TCP
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. ...
Policy-based network management for generalized vehicle-to-internet connectivity
Spectrum is the scarce and limiting resource for all wide-area wireless communication activities. As user loads on this limited resource continue to grow rapidly, it is necessary for "providers" to have effective tools, frameworks, and functionalities ...
Improving coverage estimation for cellular networks with spatial bayesian prediction based on measurements
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 ...
- Proceedings of the 2012 ACM SIGCOMM workshop on Cellular networks: operations, challenges, and future design
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
CellNet '13 | 6 | 5 | 83% |
Overall | 6 | 5 | 83% |