Performance of Automatic Frequency Planning and Optimization Algorithm for Cellular Networks

M. Abdulhamid, Kisenya Sayianka
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Abstract

Abstract Frequency planning is one of the most expensive aspects of deploying a cellular network. If a set of base stations can be deployed with minimal service and planning, the cost of both deploying and maintaining the network will decrease. To ensure that the scarce frequency is utilized to its maximum, planning and optimization are done. This is also carried out to ensure that there is high efficiency in cellular radio systems and little or minimum interference due to co-channeling. This paper focuses on coming up with an automatic way of planning and optimizing the frequency in the cellular network. The approach replaces the inefficient, inaccurate and tedious manual approach. The automatic approach simplifies work for the radio frequency(RF) engineers and also reduces the cost of operation. The automatic approach ensures that the cellular network is extensively deployed in a way that criteria of maximum quality, quantity and good coverage are met. The paper focuses on coming up with an automatic planning and optimization algorithm that minimizes the intra-system interference levels to reasonable ranges within the key performance indicators (KPIs) defined for any acceptable cellular network.
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蜂窝网络频率自动规划与优化算法的性能研究
频率规划是部署蜂窝网络最昂贵的方面之一。如果一组基站可以用最少的服务和规划来部署,那么部署和维护网络的成本将会降低。为了确保稀缺的频率得到最大限度的利用,进行了规划和优化。这也是为了确保蜂窝无线电系统的高效率和由于共信道而产生的很少或最小的干扰。本文主要研究蜂窝网络中频率的自动规划和优化方法。该方法取代了低效、不准确、繁琐的手工方法。自动化方法简化了射频(RF)工程师的工作,也降低了操作成本。自动方法确保蜂窝网络以满足最大质量、数量和良好覆盖标准的方式广泛部署。本文的重点是提出一种自动规划和优化算法,将系统内干扰水平最小化到任何可接受的蜂窝网络定义的关键性能指标(kpi)的合理范围内。
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