A novel load-aware cell association for simultaneous network capacity and user QoS optimization in emerging HetNets
A novel load-aware cell association for simultaneous network capacity and user QoS optimization in emerging HetNets
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一种新颖的负载感知单元关联，可在新兴 HetNet 中同时优化网络容量和用户 QoS
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
A. Imran
中科院分区：
文献类型：
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作者：
Ahmad Asghar;H. Farooq;A. Imran
超密集异构网络（UDHN）正在成为科普即将到来的蜂窝网络容量紧缩的必然方法。然而，宏小区和小小区之间的负载不平衡和广泛不成比例的SINR分布仍然是利用UDHN的全部潜力的关键障碍。在本文中，我们解决这个问题，提出并分析了一种新的负载感知用户关联方法，提供了一种机制，同时优化网络容量，负载分布和覆盖范围。该解决方案同时利用覆盖和容量优化（CCO）和负载平衡（LB）SON功能的三个关键优化参数，即天线倾斜、发射功率和小区个体偏移（CIO）。该方法在用户关联过程中结合了基于指数加权的CCO和LB SON功能优先级排序。结果表明，所提出的方法提供了宏小区和小小区之间的负载分布，其在网络容量和用户服务质量方面比传统的基于最大信号强度或最大SINR的关联方法产生更多的增益。
Ultra-dense Heterogeneous networks (UDHN) are emerging as the inevitable approach to cope with the imminent cellular network capacity crunch. However, load imbalance and widely disproportionate SINR distribution between macro and small cells, remains the key hurdle in harnessing the full potential of UDHN. In this paper we address this problem by proposing and analysing a novel load-aware user association methodology that offers a mechanism to simultaneously optimize network capacity, load distribution and coverage. The solution concurrently leverages the three key optimization parameters for Coverage and Capacity Optimization (CCO) and Load Balancing (LB) SON functions i.e. antenna tilts, transmit powers and cell individual offsets (CIOs). The method incorporates exponential-weighting based prioritization of CCO and LB SON functions within the user association process. The results suggest that the proposed approach offers a distribution of load between macro and small cells that yields more gain in terms of both network capacity and user quality of service than conventional max signal strength or max SINR based association methods.
影响因子：
10.4
作者：
A. Imran;M. Imran;A. Abu-Dayya;R. Tafazolli
通讯作者：
A. Imran;M. Imran;A. Abu-Dayya;R. Tafazolli