GREENET - An Early Stage Training Network in Enabling Technologies for Green Radio

Renzo, Marco Di; Alonso, Luis; Fitzek, Frank H. P.; Foglar, Andreas; Granelli, Fabrizio; Graziosi, Fabio; Gruet, Christophe; Haas, Harald; Kormentzas, George; Perez, Ana; Rodriguez, Jonathan; Thompson, John; Verikoukis, Christos

doi:10.1109/vetecs.2011.5956211

Cited by 15 publications

(13 citation statements)

References 13 publications

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“…The project that started in 2011 with duration of 3 years studies the energy efficiency at different levels into a collaborative scheme and a structured training platform with teams working on different approaches: physical layer components, energy-aware RRM and MAC mechanisms, network coding and cooperative schemes [71,72].…”

Section: Collaborative Projectsmentioning

confidence: 99%

An overview and classification of research approaches in green wireless networks

Suárez¹,

Nuaymi²,

Bonnin³

2012

J Wireless Com Network

105

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Energy consumption of wireless networks is now a very important research topic and several research teams worldwide are proposing solutions for the so-called green wireless networks, i.e. energy-efficient wireless networks. Although the increase of this research activity is rather recent, a great number of research papers and collaborative projects exist nowadays. We first summarise the metrics used in the related literature for performance evaluation. Then, we focus on describing the current approaches proposed by reviewing a good number of references from literature. The main research directions are presented: the component level research, where the efforts are mainly concentrated on the power amplifier section; the cell layout adaptation including the cell-breathing technique and coverage extension methods like femtocells and relays; in addition, we also include the radio resource management and the cognitive radio into the studied approaches. These methods are analysed, compared, classified and then a framework of classification and integration is proposed. We finally describe some major collaborative projects dedicated to this topic.

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Section: Collaborative Projectsmentioning

confidence: 99%

An overview and classification of research approaches in green wireless networks

Suárez¹,

Nuaymi²,

Bonnin³

2012

J Wireless Com Network

105

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“…Furthermore, advanced multimedia services are power hungry and pose strict limitations on battery lifetime that users are reluctant to use these services for an extended period of time. To trim down the energy consumption of legacy and future emerging handsets, there are a number of international research initiatives such as C2POWER [2], GREEN-T [3], GREENET [4] among others, which aim to reduce the holistic energy consumption using an inter-disciplinary and multi-disciplinary design approach. Using context information is seen as a promising approach towards taking a significant step towards energy efficient handsets.…”

Section: Introductionmentioning

confidence: 99%

CANDi: context‐aware node discovery for short‐range cooperation

Alam

Albano

Radwan

et al. 2013

Trans. Emerging Tel. Tech.

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Multi‐standard mobile devices are allowing users to enjoy higher data rates with ubiquitous connectivity. However, the benefits gained from multiple interfaces come at an expense—that being higher energy consumption in an era where mobile devices need to be energy compliant. One promising solution is the usage of short‐range cooperative communication as an overlay for infrastructure‐based networks taking advantage of its context information. However, the node discovery mechanism, which is pivotal to the bearer establishment process, still represents a major burden in terms of the total energy budget. In this paper, we propose a technology agnostic approach towards enhancing the MAC energy ratings by presenting a context‐aware node discovery (CANDi) algorithm, which provides a priori knowledge towards the node discovery mechanism by allowing it to search nodes in the near vicinity at the ‘right time and at the right place’. We describe the different beacons required for establishing the cooperation, as well as the context information required, including battery level, modes, location and so on. CANDi uses the long‐range network (WiMAX and WiFi) to distribute the context information about cooperative clusters (Ultra‐wideband‐based) in the vicinity. The searching nodes can use this context in locating the cooperative clusters/nodes, which facilitates the establishing of short‐range connections. Analytical and simulation results are obtained, and the energy saving gains are further demonstrated in the laboratory using a customised testbed. CANDi saves up to 50% energy during the node discovery process, while the demonstrative testbed shows up to 75% savings in the total energy budget, thus validating the algorithm, as well as providing viable evidence to support the usage of short‐range cooperative communications for energy savings. Copyright © 2013 John Wiley & Sons, Ltd.

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“…The resulting increase in operational energy and cost expenditure is deemed unsustainable. This has precipitated in the creation of several research initiatives targeted at improving energy efficiency in wireless communications [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Exploiting user movement patterns to enhance energy efficiency in wireless networks

Videv

Thompson

Haas

2013

2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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This paper presents an initial study on how to model user mobility in a wireless cellular network scenario. The model provides realistic patterns of movement between a number of locations. The aforementioned mobility model is built upon to introduce a base station (BS) energy efficient power state control algorithm (EESC) that is able to provide significant energy savings for the simulated scenario. Erratic subsequent on and off BS behavior is avoided by referring to an average loading curve, generated for each BS during a learning period, when making decisions. Moreover, BSs are turned off only when the users can be handed off to nearby cells with a predefined maximum allowed predicted loss in data rate. The resulting system is able to deliver an energy consumption reduction between 36% and 11% over an always on benchmark for the simulated scenarios. There is negligible loss in terms of achieved data rate per user.

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GREENET - An Early Stage Training Network in Enabling Technologies for Green Radio

Cited by 15 publications

References 13 publications

An overview and classification of research approaches in green wireless networks

An overview and classification of research approaches in green wireless networks

CANDi: context‐aware node discovery for short‐range cooperation

Exploiting user movement patterns to enhance energy efficiency in wireless networks

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