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  • 1.
    Agapi, Mesodiakaki
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Zola, Enrica
    UPC BarcelonaTECH, Barcelona Spain.
    Kassler, Andreas
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Centre for HumanIT. Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Joint User Association and Backhaul Routing for Green 5G Mesh Millimeter Wave Backhaul Networks2017In: Proceedings Of The 20Th Acm International Conference On Modelling, Analysis And Simulation Of Wireless And Mobile Systems, Association for Computing Machinery (ACM), 2017, p. 179-186Conference paper (Refereed)
    Abstract [en]

    With the advance of fifth generation (5G) networks, network density needs to grow significantly in order to meet the required capacity demands. A massive deployment of small cells may lead to a high cost for providing. ber connectivity to each node. Consequently, many small cells are expected to be connected through wireless links to the umbrella eNodeB, leading to a mesh backhaul topology. This backhaul solution will most probably be composed of high capacity point-to-point links, typically operating in the millimeter wave (mmWave) frequency band due to its massive bandwidth availability. In this paper, we propose a mathematical model that jointly solves the user association and backhaul routing problem in the aforementioned context, aiming at the energy efficiency maximization of the network. Our study considers the energy consumption of both the access and backhaul links, while taking into account the capacity constraints of all the nodes as well as the fulfillment of the service-level agreements (SLAs). Due to the high complexity of the optimal solution, we also propose an energy efficient heuristic algorithm (Joint), which solves the discussed joint problem, while inducing low complexity in the system. We numerically evaluate the algorithm performance by comparing it not only with the optimal solution but also with reference approaches under different traffic load scenarios and backhaul parameters. Our results demonstrate that Joint outperforms the state-of-the-art, while being able to find good solutions, close to optimal, in short time.

  • 2.
    Kastrinogiannis, Timotheos
    et al.
    Institute of Communications and Computer Systems (ICCS) School of Electrical and Computer Engineering, National Technical University of Athens, Greece.
    Mesodiakaki, Agapi
    Institute of Communications and Computer Systems (ICCS) School of Electrical and Computer Engineering, National Technical University of Athens, Greece.
    Papavassiliou, Symeon
    Institute of Communications and Computer Systems (ICCS) School of Electrical and Computer Engineering, National Technical University of Athens, Greece.
    Service-oriented utility-based uplink power control in two-tier femtocell networks2011In: Future Network & Mobile Summit (FutureNetw), 2011, IEEE Press, 2011, p. 1-9Conference paper (Refereed)
    Abstract [en]

    In this paper the problem of uplink power allocation in two-tier macrocell/femtocell CDMA networks is addressed. A generic game-theoretic framework for efficiently assigning users' power level is proposed, targeting at actual throughput maximization alongside with power consumption and interference minimization, under certain physical limitations. The consequent problem is formulated as a non-cooperative service-oriented game with exogenous parameter, which is treated by means of supermodularity theory. The existence of a Nash equilibrium point of the game is shown and a novel service-oriented distributed uplink power control (SUPCF) algorithm is proposed for attaining the corresponding equilibrium point, with provable convergence. Numerical results are presented that verify the analytical claims and allow the derivation of novel and practical intuitions on how cross-tier interference affects users' service performance.

  • 3.
    Mesodiakaki, Agapi
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Adelantado, Ferran
    Open University of Catalonia, Spain.
    Alonso, Luis
    Signal Theory and Communications Department, Technical University of Catalonia, Spain.
    Renzo, Marco Di
    Laboratoire des Signaux et Systèmes, CNRS, CentraleSupélec, UnivParis Sud, Université Paris-Saclay, France.
    Verikoukis, Christos
    Centre Tecnològic de Telecomunicacions de Catalunya, Barcelona, Spain.
    Energy- and Spectrum-Efficient User Association in Millimeter-Wave Backhaul Small-Cell Networks2017In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 66, no 2, p. 1810-1821Article in journal (Refereed)
    Abstract [en]

    Macrocells are expected to be densely overlaid by small cells (SCs) to meet the increasing capacity demands. Due to their dense deployment, some SCs will not be connected directly to the core network and thus they may forward their traffic to the neighboring SCs until they reach it, thereby forming a multi-hop backhaul (BH) network. This is a promising solution, since the expected short length of BH links enables the use of millimeter wave (mmWave) frequencies to provide high capacity BH. In this context, user association becomes challenging due to the multihop BH architecture and therefore new optimal solutions should be developed. Thus, in this paper, we study the user association problem aiming at the joint maximization of network energy and spectrum efficiency, without compromising the user quality of service. The problem is formulated as an "-constraint problem, which considers the transmit energy consumption both in the access network, i.e., the links between the users and their serving cells, and the BH links. The optimal Pareto front solutions of the problem are analytically derived for different BH technologies and insights are gained into the energy and spectrum efficiency trade-off. The proposed optimal solutions, despite their high complexity, can be used as a benchmark for the performance evaluation of user association algorithms. We also propose a heuristic algorithm, which is compared with reference solutions under different traffic distribution scenarios and BH technologies. Our results motivate the use of mmWave BH, while the proposed algorithm is shown to achieve near-optimal performance.

  • 4.
    Mesodiakaki, Agapi
    et al.
    Technical University of Catalonia (UPC).
    Adelantado, Ferran
    Open University of Catalonia (UOC), Barcelona, Spain.
    Alonso, Luis
    Technical University of Catalonia (UPC).
    Verikoukis, Christos
    Telecommunications Technological Centre of Catalonia (CTTC), Castelldefels, Spain.
    An Energy-Efficient Contention-Aware Algorithm for Channel Selection in Cognitive Radio Networks2014In: Resource Management in Mobile Computing Environments, Cham: Springer, 2014, p. 419-438Chapter in book (Other academic)
  • 5.
    Mesodiakaki, Agapi
    et al.
    Tech Univ Catalonia UPC, Signal Theory & Commun Dept, Castelldefels, Spain..
    Adelantado, Ferran
    Alonso, Luis
    Tech Univ Catalonia UPC, Signal Theory & Commun Dept, Castelldefels, Spain..
    Verikoukis, Christos
    Energy Efficiency Analysis of Secondary Networks in Cognitive Radio Systems2013In: 2013 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), IEEE Press, 2013, p. 4115-4119Conference paper (Refereed)
    Abstract [en]

    In this paper, we evaluate a novel contention-aware channel selection algorithm that focuses on energy efficiency improvement of a secondary network (SN) in a scenario where other non-cooperating SNs are also using the primary resources. We present a detailed energy efficiency analysis and we study how the time between two consecutive sensing periods affects the energy efficiency. Our analysis proves that a categorization of the idle channels based on their contention level and the selection of the less contended ones can result in up to 70% gain in energy efficiency. The model is further evaluated through simulations.

  • 6.
    Mesodiakaki, Agapi
    et al.
    Tech Univ Catalonia UPC, Signal Theory & Communicat Dept, Castelldefels, Spain.
    Adelantado, Ferran
    Open Univ Catalonia UOC, Barcelona, Spain.
    Alonso, Luis
    Tech Univ Catalonia UPC, Signal Theory & Communicat Dept, Castelldefels, Spain.
    Verikoukis, Christos
    Telecommun Technol Ctr Catalonia CTTC, Castelldefels, Spain.
    Energy-efficient contention-aware channel selection in Cognitive Radio Ad-Hoc Networks2012In: 2012 IEEE 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), IEEE Press, 2012, p. 46-50Conference paper (Refereed)
    Abstract [en]

    n this paper, we propose a novel contention-aware channel selection algorithm that focuses on throughput and energy efficiency improvement in Cognitive Radio Ad-Hoc Networks (CRAHNs). Specifically, we study the operation and performance of a Secondary Network (SN) in a scenario where other non-cooperating CRAHNs are also using the primary resources. We prove that a channel categorization of the idle channels based on their contention level and the selection of the less contented ones can result in up to 70% improvement in throughput and up to 68% improvement in energy efficiency. Simulation results are presented for the performance evaluation of our proposed algorithm.

  • 7.
    Mesodiakaki, Agapi
    et al.
    Tech Univ Catalonia UPC, Signal Theory & Communicat Dept, Castelldefels, Spain..
    Adelantado, Ferran
    Open Univ Catalonia UOC, Barcelona, Spain..
    Alonso, Luis
    Tech Univ Catalonia UPC, Signal Theory & Communicat Dept, Castelldefels, Spain..
    Verikoukis, Christos
    Telecommun Technol Ctr Catalonia CTTC, Castelldefels, Spain..
    Energy-efficient Context-aware User Association for Outdoor Small Cell Heterogeneous Networks2014In: 2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), IEEE, 2014, p. 1614-1619Conference paper (Refereed)
    Abstract [en]

    To meet the ever-increasing traffic demands, future cellular networks are about to include a plethora of small cells (SCs), with user equipments (UEs) being able of communicating via multiple bands. Given that SCs are expected to be eventually as close as 50 m apart, some of them will not have a direct connection to the core network, and thus will forward their traffic to the neighboring SCs until they reach it. In such architectures, the user association problem becomes challenging with backhaul (BH) energy consumption playing a key role. Thus, in this paper, we study the user association problem aiming at maximizing the network energy efficiency. The problem is formulated as an optimization problem, which is NP-hard. Therefore, we propose a cognitive heuristic algorithm that exploits context-aware information (i.e., UE measurements and requirements, the HetNet architecture knowledge and the available spectrum resources of each base station (BS)) to associate the UEs in an energy-efficient way, while considering both the access and the BH energy consumption. We evaluate the performance of the proposed algorithm under two study-case scenarios and we prove that it achieves significantly higher energy efficiency than the reference algorithms, while maintaining high spectral efficiency.

  • 8.
    Mesodiakaki, Agapi
    et al.
    Tech Univ Catalonia, Barcelona, Spain..
    Adelantado, Ferran
    Open Univ Catalonia, Barcelona, Spain..
    Alonso, Luis
    Tech Univ Catalonia, Barcelona, Spain..
    Verikoukis, Christos
    Telecommun Technol Ctr Catalonia, SMARTECH Dept, Barcelona, Spain..
    Energy-Efficient User Association in Cognitive Heterogeneous Networks2014In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 52, no 7, p. 22-29Article in journal (Refereed)
    Abstract [en]

    Due to the ever increasing data traffic demands, which are directly connected to increased energy consumption, it becomes challenging for operators to achieve capacity enhancement while limiting their electric bill. To that end, exploiting the context awareness of future cognitive networks is expected to play a key role. Next generation cellular networks are about to include a plethora of small cells, with users being able to communicate via multiple bands. Given that small cells are expected to be eventually as close as 50 m apart, not all of them will have a direct connection to the core network; thus, multihop communication through neighboring small cells may be required. In such architectures, the user association problem becomes challenging, with backhaul energy consumption being a definitive parameter. Thus, in this article, we study the user association problem in cognitive heterogeneous networks. We evaluate the existing approaches in terms of energy efficiency and show the potential of exploiting the available context-aware information (i.e., users' measurements and requirements, knowledge of the network architecture, and the available spectrum resources of each base station) to associate the users in an energy-efficient way, while maintaining high spectrum efficiency. Our study considers both the access network and backhaul energy consumption, while the performance of the association algorithms is evaluated under two different case study scenarios.

  • 9.
    Mesodiakaki, Agapi
    et al.
    Technical University of Catalonia (UPC), Signal Theory and Communications Department, Castelldefels, Spain.
    Adelantado, Ferran
    Open University of Catalonia (UOC), Barcelona, Spain.
    Alonso, Luis
    Technical University of Catalonia (UPC), Signal Theory and Communications Department, Castelldefels, Spain.
    Verikoukis, Christos
    Telecommunications Technological Centre of Catalonia (CTTC), Castelldefels, Spain.
    Joint uplink and downlink cell selection in cognitive small cell heterogeneous networks2014In: 2014 IEEE Global Communications Conference, IEEE, 2014, p. 2643-2648Conference paper (Refereed)
  • 10.
    Mesodiakaki, Agapi
    et al.
    Tech Univ Catalonia, Signal Theory & Commun Dept, Barcelona 08034, Spain..
    Adelantado, Ferran
    Open Univ Catalonia, Barcelona 08035, Spain..
    Alonso, Luis
    Tech Univ Catalonia, Signal Theory & Commun Dept, Barcelona 08034, Spain..
    Verikoukis, Christos
    Telecommun Technol Ctr Catalonia, Castelldefels 08860, Spain..
    Performance Analysis of a Cognitive Radio Contention-Aware Channel Selection Algorithm2015In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 64, no 5, p. 1958-1972Article in journal (Refereed)
    Abstract [en]

    In cognitive radio (CR) networks, due to the ever increasing traffic demands and the limited spectrum resources, it is very likely for several secondary networks (SNs) to coexist and opportunistically use the same primary user (PU) resources. In such scenarios, the ability to distinguish whether a licensed channel is occupied by a PU or by other SNs can significantly improve the spectrum efficiency of the network, while the contention among the SNs already operating on licensed channels with no PU activity may further affect its throughput and energy efficiency. Therefore, the proper selection of licensed channels could result in notable performance gains. In this paper, we propose a novel contention-aware channel selection algorithm, where the SN under study 1) detects the licensed channels with no PU activity by exploiting cooperative spectrum sensing, 2) estimates the probability of collision in each one, and 3) selects the less contended to access. We provide a detailed analytical model for the throughput and the energy efficiency of the SN, and we validate it by means of simulation. We also show the significant performance gains of our proposal in comparison with other relevant state-of-the-art algorithms.

  • 11.
    Mesodiakaki, Agapi
    et al.
    Technical University of Catalonia (UPC).
    Adelantado, Ferran
    Open University of Catalonia (UOC), Barcelona, Spain.
    Alonso, Luis
    Technical University of Catalonia (UPC).
    Verikoukis, Christos
    Telecommunications Technological Centre of Catalonia (CTTC), Castelldefels, Spain.
    Technical Approaches for Improved Spectrum Sharing: 3.2.1: A Novel Energy-Efficient Contention-Aware Channel Selection Algorithm for CR Networks2014In: Cognitive Radio Policy and Regulation: Techno-Economic Studies to Facilitate Dynamic Spectrum Access / [ed] Medeisis, Arturas; Holland, Oliver, Cham: Springer Publishing Company, 2014, p. 124-127Chapter in book (Other academic)
  • 12.
    Mesodiakaki, Agapi
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Adelantado, Ferran
    Open University of Catalonia (UOC), Barcelona, Spain.
    Antonopoulos, Angelos
    Telecommunications Technological Centre of Catalonia (CTTC), Castelldefels, Spain.
    Alonso, Luis
    Technical University of Catalonia (UPC), Signal Theory and Communications Barcelona, Spain.
    Verikoukis, Christos
    Telecommunications Technological Centre of Catalonia (CTTC), Castelldefels, Spain.
    Energy and spectrum efficient user association in 5G heterogeneous networks2016In: Personal, Indoor, and Mobile Radio Communications (PIMRC), 2016 IEEE 27th Annual International Symposium on, IEEE, 2016, p. 1-6Conference paper (Refereed)
    Abstract [en]

    Due to the dense small cell deployment to cope with the increased data traffic of fifth generation (5G) networks, the direct backhaul (BH) connection of all small cells to the core network becomes challenging. To that end, millimeter wave (mmWave) is a promising solution for cost-efficient high capacity small cell BH links. However, due to the severe signal attenuation at high frequencies, mmWave can provide good coverage only for short distances, thus favoring a multi-hop 5G BH architecture. In this context, user association that impacts both the network and user performance calls for BH-aware strategies. Hence, in this paper, we study the user association problem aiming at the joint energy and spectrum efficiency maximization of the network, without compromising the user quality of service. The problem is formulated as a generalized assignment problem, which considers the capacity and energy consumption both in the access network and BH links. Provided that the considered problem is shown to be NP-hard, we employ optimization techniques to obtain an upper bound on system performance. We also propose a low complexity algorithm, which is shown to outperform the state-of-the-art while achieving near-optimal performance.

  • 13.
    Mesodiakaki, Agapi
    et al.
    Tech Univ Catalonia UPC, Signal Theory & Commun Dept, Castelldefels, Spain..
    Adelantado, Ferran
    Antonopoulos, Angelos
    Alonso, Luis
    Tech Univ Catalonia UPC, Signal Theory & Commun Dept, Castelldefels, Spain..
    Verikoukis, Christos
    Fairness Evaluation of a Secondary Network Coexistence Scheme2013In: 2013 IEEE 18TH INTERNATIONAL WORKSHOP ON COMPUTER AIDED MODELING AND DESIGN OF COMMUNICATION LINKS AND NETWORKS (CAMAD), IEEE conference proceedings, 2013, p. 180-184Conference paper (Refereed)
    Abstract [en]

    Due to the ever-increasing traffic demands and the fact that the spectrum resources are limited, it is very likely that several secondary networks (SNs) will coexist and opportunistically use the same primary user (PU) resources. In such coexistence scenarios, it is fundamental to guarantee fairness among the coexisting SNs. To that end, in this paper, we evaluate the performance of an SN coexistence scheme in terms of fairness and we show that it can achieve throughput and energy efficiency gains, while maintaining fairness among the coexisting SNs in comparison to other state-of-the-art approaches.

  • 14.
    Mesodiakaki, Agapi
    et al.
    Tech Univ Catalonia UPC, Signal Theory & Commun Dept, Castelldefels, Spain..
    Adelantado, Ferran
    Open Univ Catalonia UOC, Barcelona, Spain..
    Antonopoulos, Angelos
    Tech Univ Catalonia UPC, Signal Theory & Commun Dept, Castelldefels, Spain.;Telecommun Technol Ctr Catalonia CTTC, Castelldefels, Spain..
    Kartsakli, Elli
    Tech Univ Catalonia UPC, Signal Theory & Commun Dept, Castelldefels, Spain..
    Alonso, Luis
    Tech Univ Catalonia UPC, Signal Theory & Commun Dept, Castelldefels, Spain..
    Verikoukis, Christos
    Telecommun Technol Ctr Catalonia CTTC, Castelldefels, Spain..
    Energy Impact of Outdoor Small Cell Backhaul in Green Heterogeneous Networks2014In: 2014 IEEE 19TH INTERNATIONAL WORKSHOP ON COMPUTER AIDED MODELING AND DESIGN OF COMMUNICATION LINKS AND NETWORKS (CAMAD) / [ed] Book group author(s): IEEE, IEEE, 2014, p. 11-15Conference paper (Refereed)
    Abstract [en]

    Small cells (SCs) are expected to be densely deployed during the next few years to enhance the network capacity of future heterogeneous networks (HetNets). Due to their dense deployment, not all SCs are expected to have a direct connection to the core network. As a result, some SCs will forward their traffic to the neighboring SCs until they reach the core network, thus forming a multi-hop backhaul (BH) network. Due to the large number of BH links, the BH is expected to be one of the main challenges that future HetNets will have to face. At the same time, traffic demands are growing exponentially resulting in higher energy consumption. Therefore, how to achieve high network energy efficiency becomes of utmost importance. To that end, in this paper, we study the role of BH in future outdoor HetNets aiming to answer to whether or not it could constitute an energy bottleneck for the HetNet. To gain insights, we study the BH energy consumption impact compared to the access network under different traffic distribution scenarios and BH technologies.

  • 15.
    Mesodiakaki, Agapi
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
    Kassler, Andreas
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science.
    Enrica, Zola
    UPC.
    Mattias, Ferndahl
    Gothic AB.
    Tao, Cai
    HWSE.
    Energy Efficient Line-of-Sight Millimeter Wave Small Cell Backhaul: 60, 70, 80 or 140 GHz?2016In: World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2016 IEEE 17th International Symposium on A, IEEE, 2016Conference paper (Refereed)
  • 16.
    Mesodiakaki, Agapi
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Zola, Enrica
    Dept. of Network Engineering, UPC - BarcelonaTECH, Spain.
    Kassler, Andreas
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    User Association in 5G Heterogeneous Networks with Mesh Millimeter Wave Backhaul Links2017In: 18th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), IEEE, 2017Conference paper (Refereed)
    Abstract [en]

    Fifth generation (5G) wireless networks will target at energy and spectrum efficient solutions to cope with the increasing demands in capacity and energy efficiency. To achieve this joint goal, dense networks of small cells (SCs) are expected to overlay the existing macro cells. In parallel, for the SC connection to the core network, a promising solution lies in a mesh network of high capacity millimeter wave backhaul (BH) links. In the considered 5G architecture, each SC is able to forward its BH traffic to the core network through alternative paths, thus offering high BH network reliability. In this context, the joint problem of user association and BH routing becomes challenging. In this paper, we focus on this problem targeting at energy and spectrum efficient solutions. A low-complexity algorithm is proposed, which bases its user association and BH routing decision i) on minimizing the spectrum resources to guarantee the user rate, so as to provide high spectrum efficiency, and ii) on minimizing both the access network and BH route power consumption to provide high energy efficiency. Our results show that our solution provides better trade-offs between energy and spectrum efficiency than the state-of-the-art in 3GPP scenarios.

  • 17.
    Pons, Xavier
    et al.
    Airbus Defence & Space, France, & Institut Mines-Telecom.
    Mesodiakaki, Agapi
    Technical University of Catalonia (UPC).
    Gruet, Christophe
    Airbus Defence & Space, France.
    Naviner, Lirida
    Institut Mines-Telecom, France.
    Adelantado, Ferran
    Open University of Catalonia (UOC), Barcelona, Spain.
    Alonso, Luis
    Technical University of Catalonia (UPC).
    Verikoukis, Christos
    Telecommunications Technological Centre of Catalonia (CTTC), Castelldefels, Spain.
    An energy efficient vertical handover decision algorithm2014In: 2014 IEEE Globecom Workshops (GC Wkshps), IEEE, 2014, p. 1145-1150Conference paper (Refereed)
  • 18.
    Ramazanali, Hawar
    et al.
    School of Information Technology, Halmstad University, Halmstad, Sweden; Saab Training and Simulation, Huskvarna, Sweden.
    Mesodiakaki, Agapi
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Vinel, Alexey
    School of Information Technology, Halmstad University, Halmstad, Sweden.
    Verikoukis, Christos
    Telecommunications Technological Centre of Catalonia (CTTC), Castelldefels, Spain.
    Survey of user association in 5G HetNets2016In: Communications (LATINCOM), 2016 8th IEEE Latin-American Conference on / [ed] BOOK GROUP AUTHORS: IEEE, IEEE, 2016, p. 1-6Conference paper (Refereed)
    Abstract [en]

    Heterogeneous networks (HetNets) are considered a key enabling technology to provide high capacity for next generation, also known as fifth generation (5G), networks. However, in order to efficiently exploit the advantages of HetNets and strive towards high network efficiency, efficient user equipment (UE) association is decisive for targeting network performance goals. Therefore, in this work, user association algorithms are surveyed and classified based on the criterion they use for association with the base stations (macrocells or small cells). Special focus is given on the suitability of the user association algorithms for 5G as well as their complexity.

  • 19.
    Tennina, Stefano
    et al.
    WEST Aquila S.r.l., L’Aquila, Italy.
    Santos, Manuel
    WEST Aquila S.r.l., L’Aquila, Italy.
    Mesodiakaki, Agapi
    Technical University of Catalonia (UPC), Signal Theory and Communications Barcelona, Spain.
    Mekikis, Prodromos-Vasileios
    Technical University of Catalonia (UPC), Signal Theory and Communications Barcelona, Spain.
    Kartsakli, Elli
    Technical University of Catalonia (UPC), Signal Theory and Communications Barcelona, Spain.
    Antonopoulos, Angelos
    Technical University of Catalonia (UPC), Signal Theory and Communications Barcelona, Spain.
    Renzo, Marco Di
    Supelec CNRS, Paris, France.
    Stavridis, Athanasios
    Vidavo, Thessaloniki, Greece.
    Graziosi, Fabio
    WEST Aquila S.r.l., L’Aquila, Italy.
    Alonso, Luis
    Technical University of Catalonia (UPC), Signal Theory and Communications Barcelona, Spain.
    Verikoukis, Christos
    CTTC, Barcelona, Spain.
    WSN4QoL: WSNs for remote patient monitoring in e-Health applications2016In: 2016 IEEE International Conference on Communications (ICC), IEEE, 2016, p. 1-6Conference paper (Refereed)
    Abstract [en]

    Contemporary technologies as implemented in the field of healthcare have provided the everyday clinical practice with a plethora of tools to be used in various settings. In this field, distributed and networked embedded systems, such as Wireless Sensor Networks (WSNs), are the most promising technology to achieve continuous monitoring of aged people for their own safety, without affecting their daily activities. WSN4QoL is a Marie Curie project involving academic and industrial partners from three EU countries, which aims to show how new WSNs-based technologies suit the specific requirements of pervasive healthcare applications. In particular, in this paper, the WSN4QoL's system architecture is presented as designed to exploit the Network Coding (NC) mechanisms to achieve energy efficiency in the wireless communications and distributed positioning solutions to locate patients in indoor home environments. The system has been validated through experimental activities using commercial off the shelf (COTS) WSN testbeds and medical devices prototypes offered by a commercial partner. Results demonstrate that NC helps in achieving substantial gains in terms of energy efficiency as compared to traditional relay mechanisms, while the proposed positioning solution is able to locate people in indoor environments at a sub-room accuracy level, without requiring any extra dedicated hardware.

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