Characterization of 3G control-plane signaling overhead from a data-plane perspective

Qian, Li Ping; Chan, Ehw; Lee, Patrick P. C.; He, Cheng

doi:10.1145/2387238.2387294

Cited by 17 publications

(14 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar to our work, the authors in [14], [21] seek to find appropriate values of dormancy timer based on the app-level traffic. However, they conclude that it is not trivial to optimize the dormancy timer value when a mix of app traffic is considered.…”

Section: Related Workmentioning

confidence: 85%

REACT: Managing Application-Induced Signaling Overhead in Cellular Data Networks

Gabale¹,

Subramanian²,

Kokku

2015

2015 IEEE 23rd International Conference on Network Protocols (ICNP)

View full text Add to dashboard Cite

Recent studies have shown that mobile applications are increasingly becoming "chatty", resulting in excessive signaling load on cellular networks, potentially causing major network outages. One of the main causes of this signaling overload is the static dormancy timer that 3GPP-based networks employ to control the release of radio resources allocated to a device. To systematically manage the ever-increasing signaling load, we design a novel network-aware system named REACT for dynamically tuning the dormancy timers. In doing so, we highlight a key trade-off between signaling overhead on the network and energy consumed on mobile devices. Contrary to the prior work, our solution models and predicts traffic of mobile apps at the network side with high degree of accuracy, and then dynamically tunes the dormancy timer at a per-device, per-base-station or per-RNC granularity; the approach requires no modifications on mobile devices. Our evaluation shows that REACT reduces signaling overhead by more than a factor of 2 compared to current static setting of dormancy timers. Furthermore, networkaware dynamic tuning of dormancy timers enables a flexible system that can aggressively save energy on devices when the overall network load is low, and manages signaling overhead effectively during high network load.

show abstract

Section: Related Workmentioning

confidence: 85%

REACT: Managing Application-Induced Signaling Overhead in Cellular Data Networks

Gabale¹,

Subramanian²,

Kokku

2015

2015 IEEE 23rd International Conference on Network Protocols (ICNP)

View full text Add to dashboard Cite

show abstract

“…The number of RRC state transitions is a representative metric correlating with the amount of signalling created between the UE and the network operator. For example, a single FACH-DCH state transition is associated with 10 message signalling transmissions [199], which introduces additional delay and energy consumption at the user end and an overhead for the network operator end.…”

Section: Evaluation Setup and Metricsmentioning

confidence: 99%

Energy Modelling and Fairness for Efficient Mobile Communication

Alonso¹,

Jon²

2016

View full text Add to dashboard Cite

Energy consumption and its management have been clearly identified as a challenge in computing and communication system design, where energy economy is obviously of paramount importance for battery powered devices. This thesis addresses the energy efficiency of mobile communication at the user end in the context of cellular networks.We argue that energy efficiency starts by energy awareness and propose EnergyBox, a parametrised tool that enables accurate and repeatable energy quantification at the user end using real data traffic traces as input. EnergyBox offers an abstraction of the underlying states for operation of the wireless interfaces and allows to estimate the energy consumption for different operator settings and device characteristics. The tool is used throughout the thesis to quantify and reveal inefficient data communication patterns of widely used mobile applications.We consider two different perspectives in the search of energy-efficient solutions. From the application perspective, we show that systematically quantifying the energy consumption of design choices (e.g., communication patterns, protocols, and data formats) contributes to a significantly smaller energy footprint. From the system perspective, we devise a cross-layer solution that schedules packet transmissions based on the knowledge of the network parameters that impact the energy consumption of the handset. These attempts show that application level decisions require a better understanding of possible energy apportionment policies at system level.Finally, we study the generic problem of determining the contribution of an entity (e.g., application) to the total energy consumption of a given system (e.g., mobile device). We compare the state-of-the-art policies in terms of fairness leveraging cooperative game theory and analyse their required information and computational complexity. We show that providing incentives to reduce the total energy consumption of the system (as part of fairness) is tightly coupled to the policy selection. Our study provides guidelines to select an appropriate policy depending on the characteristics of the system. This work has been supported by the Swedish National Graduate School of Computer Science (CUGS), Sweden. v Populärvetenskaplig sammanfattningMobila tjänster som utnyttar kommunikationöver mobila nätverkär till stor nytta för mobiltelefonanvändare. Mobilanvändarna fokuserar på interaktionen med applikationerna och förväntar sig att kunna kommunicera när det behövs utan att tänka på batteriets livslängd. Dessvärre resulterar ineffektiv användning av trådlösa gränssnitt (t.ex. WiFi eller mobilnät) i snabb batteriurladdning. Energiförbrukning och energihanteringär en av de stora utmaningarna för informationsteknologin just nu. Den här avhandlingen behandlar energieffektiviteten i mobilkommunikation med fokus på de mobila enheterna och användarens upplevelse. Den energiförbrukning som orsakas av kommunikationär inte proportionell mot mängden data som skickas vilket beror på hur data skickasöver t...

show abstract

“…In RRC, a state machine [16] is established to manage the status of a physical radio link, which consists of three states, i.e., IDLE, FACH and DCH. The RRC state transition graph is shown in Fig.…”

Section: System Modelmentioning

confidence: 99%

SmartCut: Mitigating 3G Radio Tail Effect on Smartphones

Xue

Zhu

et al. 2015

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

3G technology has stimulated a wide variety of high-bandwidth applications on smartphones, such as video streaming and content-rich web browsing. Although having those applications mobile is quite appealing, high data rate transmission also poses huge demand for power. It has been revealed that the tail effect in 3G radio operation results in significant energy drain on smartphones. Recent fast dormancy technique can be utilized to remove tails but, without care, can degrade user experience. In this paper, we propose a novel scheme SmartCut, which effectively mitigates the tail effect of radio usage in 3G networks with little side-effect on user experience. The core idea of SmartCut is to utilize the temporal correlation of packet arrivals to predict upcoming packets, based on which unnecessary high-power-state tails of radio are cut out leveraging the Fast Dormancy mechanism. Both prototype experiment and extensive trace-driven simulation results demonstrate the efficacy of SmartCut design. On average, SmartCut can save up to 43% network energy while having little side-effect to user experience.

show abstract

Characterization of 3G control-plane signaling overhead from a data-plane perspective

Cited by 17 publications

References 15 publications

REACT: Managing Application-Induced Signaling Overhead in Cellular Data Networks

REACT: Managing Application-Induced Signaling Overhead in Cellular Data Networks

Energy Modelling and Fairness for Efficient Mobile Communication

SmartCut: Mitigating 3G Radio Tail Effect on Smartphones

Contact Info

Product

Resources

About