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  • 1.
    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.

  • 2.
    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.

  • 3.
    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.

  • 4.
    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.

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