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High efficient network selection scheme using location information for heterogeneous wireless system

机译:异构无线系统中使用位置信息的高效网络选择方案

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Heterogeneous wireless systems such as a combination of mobile broadband wireless access (MBWA) and wireless local area network (WLAN) are candidates to attain the large capacity in the next generation mobile communication systems. For capacity expansion, small cells of multiple wireless network are deployed densely in these systems. Because a number of the cells overlap, users must discover a lot of cells at once for cell selection. As a result, radio resources are much used for cell discovery in dense small cell environment. We have proposed the efficient network selection scheme using the positioning information and the map information. Using the map information, users can select the cell which has a better channel quality without cell discovery. In this paper, for further enhancement of system performance, new selection scheme considering the traffic load is evaluated. Using this load information, user select a network based on the expected throughput and their location. Consequently, users can avoid the congested network and select one which has a low traffic demand. We discuss the user throughput of the proposed scheme by comparing with the conventional one where users select by measured instantaneous signal strength. The simulation results show that the proposed scheme can improve the average user throughput by 52.8% in comparison with the conventional one. These performances can be achieved by feasible positioning accuracy.
机译:异构无线系统,例如移动宽带无线接入(MBWA)和无线局域网(WLAN)的组合是在下一代移动通信系统中获得大容量的候选者。对于容量扩展,多维无线网络的小单元将在这些系统中密集地部署。由于许多单元格重叠,因此用户必须一次发现大量的小区以进行细胞选择。结果,无线电资源很多用于密集小细胞环境中的细胞发现。我们已经提出了使用定位信息和地图信息的有效网络选择方案。使用地图信息,用户可以选择具有更好的信道质量的单元格,而无需特区发现。在本文中,为了进一步提高系统性能,评估了考虑交通负荷的新选择方案。使用此负载信息,用户根据预期的吞吐量及其位置选择网络。因此,用户可以避免拥挤的网络并选择具有低流量需求的网络。我们通过与用户通过测量的瞬时信号强度进行选择来讨论所提出的方案的用户吞吐量。仿真结果表明,与传统的相比,该方案可以将平均用户吞吐量提高52.8%。这些性能可以通过可行定位精度来实现。

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