[show abstract][hide abstract] ABSTRACT: In 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).
Proceedings of the 73rd IEEE Vehicular Technology Conference, VTC Spring 2011, 15-18 May 2011, Budapest, Hungary; 01/2011
[show abstract][hide abstract] ABSTRACT: Energy is a critical resource in the design of wireless networks since wireless devices are usually powered by batteries. Without any new approaches for energy saving, 4G mobile users will relentlessly be searching for power outlets rather than network access, and becoming once again bound to a single location. To avoid the so called 4G “energy trap” and to help wireless devices become more environment friendly, there is a clear need for disruptive strategies to address all aspects of power efficiency from the user devices through to the core infrastructure of the network and how these devices and equipment interact with each other. The ICT-C2POWER project is the vehicle that will address these issues through cognitive techniques and cooperation. The C2POWER case study is to research, develop and demonstrate energy saving technologies for multi-standard wireless mobile devices, exploiting the combination of cognitive radio and cooperative strategies, while still enabling the required performance in terms of data rate and QoS to support active applications.
[show abstract][hide abstract] ABSTRACT: Energy management is important not only for the homes, but also for the energy providers. With the ever-increasing broadband
penetration it becomes possible the information exchange between the energy provider and customer, and a smart home management
system. In this paper, we present a practical smart home system that serves as platform for efficient metering and communication
within the household. The interconnection of the home appliances and the home network is realized by light-weight, feature-rich
and cost-effective DECT technology (Digital Enhanced Cordless Tele-communications). Furthermore, we provide a concept of integration
of the smart home system within the smart energy grid. A model is presented which served as the basis of the design and prototype
realization of components of the system including an energy management device (EMD), DECT communication interfaces based on
state-of-the-art technology. Finally, we present our prototype system for the concept.
Energy-Efficient Computing and Networking - First International Conference, E-Energy 2010, Athens, Greece, October 14-15, 2010, Revised Selected Papers; 01/2010
[show abstract][hide abstract] ABSTRACT: The use of real-time delay-sensitive applications in wireless systems has significantly increased during the last years. Consequently,
the demand to guarantee certain Quality of Service (QoS) is a challenging issue for the system’s designers. A cross-layer
based dynamically tuned queue length scheduler is presented in this paper, for the Downlink of multiuser WLAN systems with
heterogeneous traffic requirements. An opportunistic scheduling algorithm is applied, while users from higher priority traffic
classes are prioritized. A trade-off between the throughput maximization of the system and the guarantee of the users QoS
requirements is obtained. Therefore the length of the queue is dynamically adjusted to select the appropriate conditions based
on the operator requirements.
Wireless Personal Communications 01/2009; 51(3):549-563. · 0.43 Impact Factor
[show abstract][hide abstract] ABSTRACT: The use of real-time delay-sensitive applications in WLAN systems has increased significantly during the last years. Therefore, the demand to guarantee certain Quality of Service (QoS) for such wireless applications is a challenging issue for the systempsilas designers. A cross-layer based dynamic queue length scheduler, for downlink WLAN systems with heterogeneous traffic, is presented in this paper. A maximum throughput scheduling algorithm is applied within the queue, while users from higher priority traffic classes are prioritized. A trade-off is obtained between the system throughput maximization and the guarantees of the userspsila QoS delay requirements, where the system queue length is dynamically adjusted to select the most appropriate point in the trade-off.