We propose a new approach for maximizing system throughput while simultaneously obtaining optimal-coverage in terms of minimal radio link failure (RLF) rates in 5G heterogeneous ultra-dense networks (HUDN). To overcome the trade-off issue between the system throughput maximization and the coverage optimization where we can hardly achieve both optimality together, we employ a joint method of “iteration and convex optimization based power control (PC),” and “advanced range expansion (RE) technique.” This algorithm works via a self organizing networks (SON) module, and is compatible with the radio protocol layer defined in specifications. In experimental simulations, we could achieve compositive optimality with considerable performance gain by the proposed approach over existing methods.

中文翻译：

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5G异构超密集网络覆盖和系统吞吐量的自我优化

我们提出了一种最大化系统吞吐量的新方法，同时在 5G 异构超密集网络 (HUDN) 中以最小无线电链路故障 (RLF) 率获得最佳覆盖。为了克服系统吞吐量最大化和覆盖优化之间的权衡问题，我们很难同时实现两者的最优，我们采用了“基于迭代和凸优化的功率控制（PC）”和“高级范围扩展（ RE）技术。” 该算法通过自组织网络 (SON) 模块工作，并与规范中定义的无线电协议层兼容。在实验模拟中，我们可以通过所提出的方法比现有方法实现可观的性能增益的组合优化。