International audienceIn this paper, we describe GREENET (an early stage training network in enabling technologies for green radio), which is a new project recently funded by the European Commission under the auspices of the 2010 Marie Curie People Programme. Through the recruitment and personalized training of 17 Early Stage Researchers (ESRs), in GREENET we are committed to the development of new disruptive technologies to address all aspects of energy efficiency in wireless networks, from the user devices to the core network infrastructure, along with the ways the devices and equipment interact with one another. Novel techniques at the physical, link, and network layers to reduce the energy consumption and carbon footprint of 4G devices will be investigated, such as Spatial Modulation (SM) for Multiple-Input-Multiple-Output (MIMO) systems, Cooperative Automatic Repeat reQuest (C-ARQ) protocols, and Network Coding (NC) for lossy networks. Furthermore, cooperation and cognition paradigms will be exploited as additional assets to improve the energy efficiency of wireless networks with the challenging but indispensable constraint of optimizing the system capacity without degrading the user's Quality-of-Service (QoS)

As wireless communications evolve towards heterogeneous networks, mobile terminals have been enabled to handover seamlessly from one network to another. At the same time, the continuous increase in the terminal power consumption has resulted in an ever-decreasing battery lifetime. To that end, the network selection is expected to play a key role on how to minimize the energy consumption, and thus to extend the terminal lifetime. Hitherto, terminals select the network that provides the highest received power. However, it has been proved that this solution does not provide the highest energy efficiency. Thus, this paper proposes an energy efficient vertical handover algorithm that selects the most energy efficient network that minimizes the uplink power consumption. The performance of the proposed algorithm is evaluated through extensive simulations and it is shown to achieve high energy efficiency gains compared to the conventional approach.Index Terms-Energy efficiency, vertical handover, handover decision algorithm, LTE, Wi-Fi.

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