Characterizing radio resource allocation for 3G networks
By Feng Qian, Zhaoguang Wang, Alexandre Gerber, Z. Morley Mao, Subhabrata Sen, Oliver Spatscheck. ACM/SIGCOMM Internet Measurement Conference, 2010
297 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/fd58d2a9eb0d86c85e10c0392b7a2e73c43d3e22
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Jeffrey Erman
- Subhabrata Sen
- Oliver Spatscheck
- Feng Qian
- Wei Gao
- Alexandre Gerber
- M. Shafiq
- Lusheng Ji
In Electrical and Electronic Engineering
- Z. Morley Mao
- Feng Qian
- Subhabrata Sen
- Oliver Spatscheck
- Junxian Huang
- Alexandre Gerber
- Wei Gao
- Liang Tong
Citations in the corpus
- A variegated look at 5G in the wild: performance, power, and QoE implications (2021, background): “Prior studies have built power models for 3G [47, 48, 55, 65] and 4G/LTE [26, 31, 42].”
- Application-aware traffic scheduling for workload offloading in mobile clouds (2016, background): “Remote method executions create bursts of wireless traffic with short intervals, during which the radio interface stays in the high-power state and consumes a large amount of additional energy [10].”
- A first look at cellular machine-to-machine traffic: large scale measurement and characterization (2012, background): “Such information is valuable for cellular network operators too because device active time corresponds more closely to radio resource usage than aggregate traffic volume [17].”
- Where is the energy spent inside my app?: fine grained energy accounting on smartphones with Eprof (2012, background): “The moment the connect system call is issued, the 3G radio ramps up [5, 14] power draw for 2.”
- An in-depth study of LTE: effect of network protocol and application behavior on performance (2013, background): “We found these are significantly shorter than the 3G promotion delays (around 2 seconds from idle to high-power state, and around 1.5 seconds from low-power to high-power state [25]), possibly due to the simplified signaling protocol in LTE networks [29].”
- Identifying diverse usage behaviors of smartphone apps (2011, background): “For example, the access time per IP flow helps network providers decide the timers in state promotio n [20].”