基于网格的场强覆盖并行计算
首发时间:2008-01-18
摘要:移动通信场强覆盖分析是移动通信网络优化的基础性项目,能够直接反映移动通信系统信号强度的分布情况。场强覆盖分析系统将基站覆盖的小区或扇区划分为25m×25m的方形子区域,计算每个区域中心点的场强值,并以此场强值表示方形子区域的场强大小,从而将基站覆盖范围内所有位置点的场强计算问题转化为计算每个方形子区域中心点的场强值,属于计算密集型系统。计算某个特定中心点处的场强时,系统计算基站与该中心点间的距离,获取基站到该中心点的传播路径上的海拔、建筑物密度、地物类型等地理信息,依据修正的Okumura-Hata模型计算该中心点的场强值。本文针对场强覆盖分析的计算密集型特点,提出了基于计算网格并行计算引擎的场强覆盖分析系统(GFIACS, A Grid based Field Intensity Coverage System)。GFIACS充分利用了计算网格的并行计算能力,将基站覆盖范围依据弧度平均划分为多个子区域,每个子区域的计算任务封装为网格作业,全部网格作业则被分配到多个网格计算资源节点并行计算。GFIACS在确保计算精度的基础上实现了场强覆盖计算效率的大幅提高。
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A Grid based Field Intensity Coverage Analysis System
Abstract:Mobile communication field intensity coverage analysis is one of the important aspects in network optimization. To analyze the field intensity in the area covered by a cell or sector, the area is divided into regions, each of which is of 25×25 square meters. The field intensity of each region is represented by the intensity of the center point of this region. The field intensity analysis of a cell is thus reduced to the computation of the intensity of the center points, and the field intensity coverage analysis for the whole network is computation-intensive. To calculate the field intensity of one center point, the distance between the BTS and this point is obtained, the geographic information along the propagation path from the BTS to the point is got from the GIS system, and then the field intensity of this center point is calculated on the basis of Okumura-Hata model. A Grid-based Field Intensity Coverage System (GFIACS) is presented to tackle the computing complexity of field intensity coverage analysis. GFIACS splits the coverage area of a sector of a BTS into several fan-shaped subsections. The field intensity coverage analysis for each subsection is addressed by a grid task; all these tasks are then allocated to the computing resources in the grid. Parallel executing of these tasks in the grid not only speeds up the field intensity coverage analysis but also make the analysis more accurate.
Keywords: Network optimization, Field intensity coverage, parallel computing, grid
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No.1820418320312006****
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