Coverage and capacity Self-Optimisation in LTE-Advanced using Active Antenna Systems

Mohammad Sharsheer, Basel Barakat, K. Arshad
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引用次数: 3

Abstract

In order to enhance the Long Term Evolution (LTE) network performance, the Third Generation Partnership Project (3GPP) introduced Coverage and Capacity Optimisation (CCO) in the context of Self Organising Network (SON). Antenna parameters (i.e. azimuth, electrical tilt etc.) play a key role in CCO and have a significant impact on the users' Quality of Service (QoS). In this paper, a novel metric, to evaluate the cells performance, that consider several performance indicators, is introduced. Furthermore, a distributed CCO algorithm is proposed which has three distinct phases. The first phase is to determine the target cell, the second phase adjust the antenna parameters for the target and neighbouring cells and in the last phase the optimum antenna parameters for the target and neighbouring cells is determined. The simulation results show significant improvement in the overall network performance with the proposed CCO algorithm. In particular, the target cell average performance can be improved by 16.75%.
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使用有源天线系统的LTE-Advanced覆盖和容量自优化
为了提高长期演进(LTE)网络的性能,第三代合作伙伴计划(3GPP)在自组织网络(SON)的背景下引入了覆盖和容量优化(CCO)。天线参数(方位角、电倾角等)在CCO中起着关键作用,对用户的服务质量(QoS)有重要影响。本文介绍了一种考虑多个性能指标的评价电池性能的新指标。在此基础上,提出了一种具有三个不同阶段的分布式CCO算法。第一阶段是确定目标小区,第二阶段是调整目标小区和邻近小区的天线参数,最后阶段是确定目标小区和邻近小区的最佳天线参数。仿真结果表明,该算法显著提高了网络的整体性能。特别是,目标单元的平均性能可以提高16.75%。
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