UMTS Data Capacity Improvements Employing Dynamic RRC Timeouts

Liers, Florian; Mitschele‐Thiel, Andreas

doi:10.1109/pimrc.2005.1651833

Cited by 13 publications

(6 citation statements)

References 2 publications

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“…Some studies are based on theoretical analysis and simulation. For instance, Liers et al proposed a scheme to adaptively tune RRC timeout parameters based on the demand and load situation, and validated it using simulations [15]. Yeh et al proposed a scheme to tune RRC timeout parameters using analytical models based on available radio resources, energy consumption, quality of service, and processing overheads of the radio access network [28].…”

Section: Related Workmentioning

confidence: 99%

A first look at cellular network performance during crowded events

Shafiq

Liu

et al. 2013

Proceedings of the ACM SIGMETRICS/international Conference on Measurement and Modeling of Computer Systems

101

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During crowded events, cellular networks face voice and data traffic volumes that are often orders of magnitude higher than what they face during routine days. Despite the use of portable base stations for temporarily increasing communication capacity and free Wi-Fi access points for offloading Internet traffic from cellular base stations, crowded events still present significant challenges for cellular network operators looking to reduce dropped call events and improve Internet speeds. For effective cellular network design, management, and optimization, it is crucial to understand how cellular network performance degrades during crowded events, what causes this degradation, and how practical mitigation schemes would perform in real-life crowded events. This paper makes a first step towards this end by characterizing the operational performance of a tier-1 cellular network in the United States during two high-profile crowded events in 2012. We illustrate how the changes in population distribution, user behavior, and application workload during crowded events result in significant voice and data performance degradation, including more than two orders of magnitude increase in connection failures. Our findings suggest two mechanisms that can improve performance without resorting to costly infrastructure changes: radio resource allocation tuning and opportunistic connection sharing. Using trace-driven simulations, we show that more aggressive release of radio resources via 1-2 seconds shorter RRC timeouts as compared to routine days helps to achieve better tradeoff between wasted radio resources, energy consumption, and delay during crowded events; and opportunistic connection sharing can reduce connection failures by 95% when employed by a small number of devices in each cell sector.

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Section: Related Workmentioning

confidence: 99%

A first look at cellular network performance during crowded events

Shafiq

Liu

et al. 2013

Proceedings of the ACM SIGMETRICS/international Conference on Measurement and Modeling of Computer Systems

101

View full text Add to dashboard Cite

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“…In [23] timeouts for the inactivity timers are decided dynamically for radio resources and computation resources. However, they only addressed the problem from the perspective of network capacity as to reducing the call blocking and dropping rate.…”

Section: Related Workmentioning

confidence: 99%

Characterizing radio resource allocation for 3G networks

Qian

Wang

Gerber

et al. 2010

Proceedings of the 10th ACM SIGCOMM Conference on Internet Measurement

218

212

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ABSTRACT3G cellular data networks have recently witnessed explosive growth. In this work, we focus on UMTS, one of the most popular 3G mobile communication technologies. Our work is the first to accurately infer, for any UMTS network, the state machine (both transitions and timer values) that guides the radio resource allocation policy through a light-weight probing scheme. We systematically characterize the impact of operational state machine settings by analyzing traces collected from a commercial UMTS network, and pinpoint the inefficiencies caused by the interplay between smartphone applications and the state machine behavior. Besides basic characterizations, we explore the optimal state machine settings in terms of several critical timer values evaluated using real network traces. Our findings suggest that the fundamental limitation of the current state machine design is its static nature of treating all traffic according to the same inactivity timers, making it difficult to balance tradeoffs among radio resource usage efficiency, network management overhead, device radio energy consumption, and performance. To the best of our knowledge, our work is the first empirical study that employs real cellular traces to investigate the optimality of UMTS state machine configurations. Our analysis also demonstrates that traffic patterns impose significant impact on radio resource and energy consumption. In particular, We propose a simple improvement that reduces YouTube streaming energy by 80% by leveraging an existing feature called fast dormancy supported by the 3GPP specifications.

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“…Several works aim at optimising the values of the inactivity timers to reduce handsets' energy consumption while still maintaining network performance or reduce channel occupancy [134,135,198]. The different proposals range from global dynamic timers to fixed timers per user.…”

Section: Interface Power Saving Mechanismsmentioning

confidence: 99%

Energy Modelling and Fairness for Efficient Mobile Communication

Alonso¹,

Jon²

2016

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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...

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UMTS Data Capacity Improvements Employing Dynamic RRC Timeouts

Cited by 13 publications

References 2 publications

A first look at cellular network performance during crowded events

A first look at cellular network performance during crowded events

Characterizing radio resource allocation for 3G networks

Energy Modelling and Fairness for Efficient Mobile Communication

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