Energy-based rate adaptation for 802.11n

Li, Chi‐Yu; Peng, Chunyi; Lu, Songwu; Wang, Xinbing

doi:10.1145/2348543.2348585

Cited by 48 publications

(55 citation statements)

References 15 publications

(28 reference statements)

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“…Rate Adaptation: Rate adaptation has been one of the most popular research topics in WLANs [10], [1], [19] and new algorithms for 802.11n networks have been proposed [2], [5], [20], [21]. Although solutions for legacy clients have been effective, they fall short when applied in 802.11n OFDM-MIMO settings [5].…”

Section: Related Workmentioning

confidence: 99%

“…Existing 802.11n solutions require either costly CSI [22], [2] or some form of a guided search (e.g., by probing candidate rates) to determine the best operating rate [5], which is inefficient when the search space is large. Other algorithms for MIMO environments do not consider other 802.11n features, such as channel bonding [23], or consider alternative energy efficiency goals [21].…”

Section: Related Workmentioning

confidence: 99%

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Joint rate and channel width adaptation for 802.11 MIMO wireless networks

Deek

García-Villegas

Belding

et al. 2013

2013 IEEE International Conference on Sensing, Communications and Networking (SECON)

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Abstract-The emergence of MIMO antennas and channel bonding in 802.11n wireless networks has resulted in a huge leap in capacity compared with legacy 802.11 systems. This leap, however, adds complexity to selecting the right transmission rate. Not only does the appropriate data rate need to be selected, but also the MIMO transmission technique (e.g., Spatial Diversity or Spatial Multiplexing), the number of streams, and the channel width. Incorporating these features into a rate adaptation (RA) solution requires a new set of rules to accurately evaluate channel conditions and select the appropriate transmission setting with minimal overhead. To address these challenges, we propose ARAMIS (Agile Rate Adaptation for MIMO Systems), a standard-compliant, closed-loop RA solution that jointly adapts rate and bandwidth. ARAMIS adapts transmission rates on a per-packet basis; we believe it is the first 802.11n RA algorithm that simultaneously adapts rate and channel width. We have implemented ARAMIS on Atheros-based devices and deployed it on our 15-node testbed. Our experiments show that ARAMIS accurately adapts to a wide variety of channel conditions with negligible overhead. Furthermore, ARAMIS outperforms existing RA algorithms in 802.11n environments with up to a 10 fold increase in throughput.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Joint rate and channel width adaptation for 802.11 MIMO wireless networks

Deek

García-Villegas

Belding

et al. 2013

2013 IEEE International Conference on Sensing, Communications and Networking (SECON)

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“…Since directly measuring WiFi power/energy consumption [5], [1], [6] is a non-trivial task, several recent works have focused on developing WiFi energy consumption models [7], [8], [9], [10], [11], [12], [13], [14], [15]. These models can be broadly classified into two categories.…”

Section: Introductionmentioning

confidence: 99%

“…On one hand, a number of works model the WiFi energy consumption based on the circuitry or MAC/PHY layer features [7], [8], [15], [9], [14]. Such models can offer very high accuracy; however, they require knowledge only available at the driver/firmware level and hence, they cannot be used by app developers.…”

Section: Introductionmentioning

confidence: 99%

Modeling WiFi Active Power/Energy Consumption in Smartphones

Sheshadri

Zheng

et al. 2014

2014 IEEE 34th International Conference on Distributed Computing Systems

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Abstract-We conduct the first detailed measurement study of the properties of a class of WiFi active power/energy consumption models based on parameters readily available to smartphone app developers. We first consider a number of parameters used by previous models and show their limitations. We then focus on a recent approach modeling the active power consumption as a function of the application layer throughput. Using a large dataset and an 802.11n-equipped smartphone, we build four versions of a previously proposed linear power-throughput model, which allow us to explore the fundamental tradeoff between accuracy and simplicity. We study the properties of the model in relation to other parameters such as the packet size and/or the transport layer protocol, and we evaluate its accuracy under a variety of scenarios which have not been considered in previous studies. Our study shows that the model works well in a number of scenarios but its accuracy drops with high throughput values or when tested on different hardware. We further show that a non-linear model can greatly improve the accuracy in these two cases.

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“…The features included in the 802.11n standard leading to higher data rates (e.g., modulation and coding schemes, channel bonding, frame aggregation or multiple-input and multiple-output) are studied in terms of energy [92,132,257]. The impact of RSSI in the data rate and energy consumption is studied showing a significant energy increase under poor signal strength [61].…”

Section: Wifi Communicationmentioning

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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Energy-based rate adaptation for 802.11n

Cited by 48 publications

References 15 publications

Joint rate and channel width adaptation for 802.11 MIMO wireless networks

Joint rate and channel width adaptation for 802.11 MIMO wireless networks

Modeling WiFi Active Power/Energy Consumption in Smartphones

Energy Modelling and Fairness for Efficient Mobile Communication

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