论文标题
最小化多细胞网络中的干扰与信号比率
Minimizing interference-to-signal ratios in multi-cell networks
论文作者
论文摘要
在当代无线通信网络中，基本站被组织成协调的群集（称为单元），以共同为用户服务。但是，这种固定系统受到所谓的细胞边缘问题的困扰：在边界接近边界，相邻簇之间的干扰可能导致非常差的干扰与信号功率比率。为了实现高质量的服务，将这些比率的总和最小化是一个重要的目标。 解决这个最小化问题的最常见方法可以说是光谱聚类方法。在本文中，我们提出了一种新的聚类方法，该方法的确定性和计算方法比当前方法少得多。对合成实例进行模拟表明，我们的方法通常提供比早期方法更高的质量解决方案。 在Arxiv：2111.00885中报道了该算法的较早版本。
In contemporary wireless communication networks, base-stations are organized into coordinated clusters (called cells) to jointly serve the users. However, such fixed systems are plagued by the so-called cell-edge problem: near the boundaries, the interference between neighboring clusters can result in very poor interference-to-signal-power ratios. To achieve a high quality service, it is an important objective to minimize the sum of these ratios over the cells. The most common approach to solve this minimization problem is arguably the spectral clustering method. In this paper, we propose a new clustering approach, which is deterministic and computationally much less demanding than current methods. Simulating on synthetic instances indicates that our methods typically provide higher quality solutions than earlier methods. An earlier version of this algorithm was reported in arXiv:2111.00885.
