221 research outputs found

    Power-aware allocation of MBSFN subframes using Discontinuous Cell Transmission in LTE systems

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    In LTE and its evolutions, energy efficiency is a critical aspect, also in view of the dramatic traffic growth foreseen for the next years. Cell Discontinuous Transmission (DTX) techniques can be important tools to achieve the needed efficiency in the networks, and one possibility is to implement the DTX by switching off the eNB at some subframes (MBSFN subframes) and not in others (where reference signals are also transmitted). Switching schedules in LTE are made for larger periods (e.g., 40/80ms or even more). We present an algorithm that i) estimates how many resources will be needed in a period, and ii) shows how many resource blocks to activate in each subframe so as to maximize the power efficiency. The problem is formulated as an integer linear problem and solved heuristically. Numerical results show that the power saving is significant, close to the theoretical minimum at low loads, and it comes with a tolerable extra dela

    Practical large-scale coordinated scheduling in LTE-Advanced networks

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    In LTE-Advanced, the same spectrum can be re-used in neighboring cells, hence coordinated scheduling is employed to improve the overall network performance (cell throughput, fairness, and energy efficiency) by reducing inter-cell interference. In this paper, we advocate that large-scale coordination can be obtained through a layered solution: a cluster of few (i.e., three) cells is coordinated at the first level, and clusters of coordinated cells are then coordinated at a larger scale (e.g., tens of cells). We model both small-scale coordination and large-scale coordination as optimization problems, show that solving them at optimality is prohibitive, and propose two efficient heuristics that achieve good results, and yet are simple enough to be run at every Transmission Time Interval (TTI). Detailed packet-level simulations show that our layered approach outperforms the existing ones, both static and dynamic

    Karakteristik pada Balita Diare dengan Infeksi Enteropathogenic Escherichia Coli (Epec) di Puskesmas Rawat Inap Kota Pekanbaru

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    Diarrheal diseases remain one of the leading cause of childhood morbidity and mortality in most developing countries, with Enteropathogenic Escherichia coli (EPEC) being one of the most important aetiologic agents of children under-five years diarrhea in many of these countries. In Indonesia especially Pekanbaru, the epidemiology of these EPEC have not been well studied. During the period from April 2014 to September 2014, 47 stool sample were collected from children under-five years with acute diarrhea in the hospitality primary health care in Pekanbaru and the examination has been done in Microbiology Laboratory of Medical Faculty Riau University. The Escherichia coli were isolated and diagnosed by standard microbiological methods. The isolates confirmed to be Esherichia coli were subjected to a slide agglutination test with Escherichia coli polyvalent antisera. This study was a descriptive study using a consecutive sampling method to describe the characterization of Enteropathogenic Escherichia coli (EPEC) infection on children under-five years at the hospitality primary health care in Pekanbaru. Based on gender and age from all specimens that were collected, the diarrhea mostly found in male (59.5%), and in 12-59 months patients (93.6%). Out of the 47 stool samples, 1 isolate (2.2%) were positive for EPEC. The isolate was recovered from the 19 months female

    Resource allocation for network-controlled device-to-device communications in LTE-Advanced

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    Network-controlled device-to-device (D2D) communication allows cellular users to communicate directly, i.e., without passing through the eNodeB, while the latter retains control over resource allocation. This allows the same time–frequency resources to be allocated to spatially separated D2D flows simultaneously, thus increasing the cell throughput. This paper presents a framework for: (1) selecting which communications should use the D2D mode, and when, and (2) allocating resources to D2D and non-D2D users, exploiting reuse for the former. We show that the two problems, although apparently similar, should be kept separate and solved at different timescales in order to avoid problems, such as excessive packet loss. We model both as optimization problems, and propose a heuristic solution to the second, which must be solved at millisecond timescales. Simulation results show that our framework is practically viable, it avoids the problem of packet losses, increases throughput and reduces delays

    Improving network performance via optimization-based centralized coordination of LTE-A cells

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    This paper shows how to improve the overall network performance (cell throughput, fairness, and energy efficiency) via centralized coordination of LTE-A cells. We first present optimization models for small-scale coordination (i.e., three cells). Then, we show that extending the same solution to a higher number of cells is generally unfeasible, due to both an unfeasible amount of reporting on the UE side, and too high computational requirements. To overcome this limitation we then propose a layered solution which i) relies on small-scale coordination at the first level (e.g., three cells at the same site), and ii) coordinates groups of coordinated cells at a higher scale (i.e., tens of cells), using optimization models, reaping the benefits of a centralized architecture. We show through packet-level simulations that our scheme brings significant benefits, in terms of fairness, throughput, and energy efficiency

    Sustaining Educational Reforms in Introductory Physics

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    While it is well known which curricular practices can improve student performance on measures of conceptual understanding, the sustaining of these practices and the role of faculty members in implementing these practices are less well understood. We present a study of the hand-off of Tutorials in Introductory Physics from initial adopters to other instructors at the University of Colorado, including traditional faculty not involved in physics education research. The study examines the impact of implementation of Tutorials on student conceptual learning across eight first-semester, and seven second-semester courses, for fifteen faculty over twelve semesters, and includes roughly 4000 students. It is possible to demonstrate consistently high, and statistically indistinguishable, student learning gains for different faculty members; however, such results are not the norm, and appear to rely on a variety of factors. Student performance varies by faculty background - faculty involved in, or informed by physics education research, consistently post higher student learning gains than less-informed faculty. Student performance in these courses also varies by curricula used - all semesters in which the research-based Tutorials and Learning Assistants are used have higher student learning gains than those semesters that rely on non-research based materials and do not employ Learning Assistants.Comment: 21 pages, 4 figures, and other essential inf

    Practical feasibility, scalability and effectiveness of coordinated scheduling algorithms in cellular networks towards 5G

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    Coordinated Scheduling (CS) is used to mitigate inter-cell interference in present (4G) and future (5G) cellular networks. We show that coordination of a cluster of nodes can be formulated as an optimization problem, i.e., placing the Resource Blocks (RB) in each node’s subframe with the least possible over-lapping with neighboring nodes. We provide a clever formulation, which allows optimal solutions to be computed in clusters of ten nodes, and algorithms that compute good suboptimal solutions for clusters of tens of nodes, fast enough for a network to respond to traffic changes in real time. This allows us to assess the relationship between the scale at which CS is performed and its benefits in terms of network energy efficiency and cell-edge user rate. Our results, obtained using realistic power, radiation and Signal-to-Interference-and-Noise-Ratio (SINR) models, show that optimal CS allows a significant protection of cell-edge users. Moreover, this goes hand-in-hand with a reduction in the num-ber of allocated RBs, which in turn allows an operator to reduce its energy consumption. Both benefits actually increase with the size of the clusters. The evaluation is carried out in both a 4G and a foreseen 5G setting, using different power models, system bandwidths and SINR-to-datarate mappings
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