3 research outputs found

    Empirical Evaluation of the Impact of Wind Turbines on DVB-T Reception Quality

    Get PDF
    [EN] This paper describes the results of two extensive measurement campaigns for evaluating the potential impact of scattered signals from wind turbines on terrestrial DTV reception quality in the UHF band. A detailed description of the different propagation channels encountered is provided. Furthermore, empirical threshold carrier-to-noise requirements for Quasi Error Free reception in the DVB-T system in the area of influence of a wind farm are presented, and the situations where a significant degradation can be found are identified and characterized.This work has been partially supported by the UPV/EHU GIC 07/110-IT-374-07, by the Basque Government under both the SAIOTEK program and the program for the training of the researcher staff (BFI08.230), by the Spanish Ministry of Science and Innovation under the project NG-RADIATE, TEC2009-14201, and by the Spanish Ministry of Industry, Tourism and Trade under the project ENGINES, TSI-020400-2010-188. ENGINES project is under the Celtic Initiative (Celtic Label CP7-005)

    Enabling Energy-Efficient and Backhaul-aware Next Generation Heterogeneous Networks

    Get PDF
    Heterogeneous networks have been firmly established as the direction in which next-generation cellular networks are evolving. We consider the dense deployment of small cells to provide enhanced capacity, while the macro cells provide wide area coverage. With the development of dual connectivity technology, deploying small cells on dedicated carriers has become an attractive option, with enhanced flexibility for splitting traffic within the network. The power consumption and latency requirements of the backhaul link are also gaining increasing prominence due to these factors. Backhaul link quality itself is expected to play an important role in influencing the deployment costs of next-generation 5G systems.  Energy efficiency as a network design paradigm is also gaining relevance due to the increasing impact cellular networks are having on the global carbon emission footprint. For operators, improving energy efficiency has the added advantage of reducing network operation expenditures. For the end-users, avoiding unnecessary draining of device battery power would improve the user experience.  In this work, we study energy efficient mechanisms for inter-frequency small cell discovery, based on mobility awareness and proximity estimation. Further, we apply generalized small cell discovery concepts in a device-to-device communication environment in order to optimize the energy consumption for device discovery. We also look at energy efficient small cell operations based on traffic characteristics and load constraints-based offloading in relation to the radio access and backhaul power consumption. In addition we study intelligent means of dist-ributing delay-critical functionalities such as Hybrid ARQ, while centralizing the computationally-intense processes in a 5G, cloud-based, centralized radio access network. Numerical evaluations done using a LTE-Advanced heterogeneous network and analytical settings indicate that significant UE and network power consumption reductions could be achieved with the considered enhancements. Using the optimized small cell operation schemes investigated in this work, reductions in network power consumption and consequent improvements in the overall energy efficiency of the network were observed. The performance of the distributed opportunistic HARQ mechanism for a centralized radio access network is compared to the optimal and static retransmission mechanisms, and the evaluated scheme is shown to perform close to the optimal mechanism, while operating with a non-ideal backhaul link
    corecore