论文标题
5G网络计划和EMF约束：配方和解决方案
5G Network Planning under Service and EMF Constraints: Formulation and Solutions
论文作者
论文摘要
我们针对5G服务和电磁场（EMFS）约束的5G蜂窝网络的计划。我们最初通过混合整数线性编程（MILP）公式对问题进行建模。追求的目标是下一代节点-B（GNB）安装成本的权衡功能和从大型多重输入多重输出（MIMO）系统中的5G服务覆盖率。此外，我们精确地模拟了限制性EMF约束，并集成了缩放参数以估计5G GNB辐射的功率。由于所考虑的计划问题是NP-HARD，因此即使对于小问题实例也可以解决非常具有挑战性，因此我们设计了一种有效的启发式启发式，称为高原，以实际解决它。结果是在现实的场景中获得的，其中包括5G Pre-5G技术（例如2G，3G，4G）的EMF暴露，证明由高原选择的细胞计划确保5G服务和限制性EMF约束。但是，我们证明了结果受到强烈影响：i）GNB安装成本与5G服务覆盖水平之间的相对权重，ii）估算5G GNB产生的暴露的缩放参数，iii）iii）5G Pre-5G技术的暴露量和IV）。
We target the planning of a 5G cellular network under 5G service and ElectroMagnetic Fields (EMFs) constraints. We initially model the problem with a Mixed Integer Linear Programming (MILP) formulation. The pursued objective is a weighed function of next-generation Node-B (gNB) installation costs and 5G service coverage level from a massive Multiple Input Multiple Output (MIMO) system. In addition, we precisely model restrictive EMF constraints and we integrate scaling parameters to estimate the power radiated by 5G gNBs. Since the considered planning problem is NP-Hard, and therefore very challenging to be solved even for small problem instances, we design an efficient heuristic, called PLATEA, to practically solve it. Results, obtained over a realistic scenario that includes EMF exposure from pre-5G technologies (e.g., 2G, 3G, 4G), prove that the cellular planning selected by PLATEA ensures 5G service and restrictive EMF constraints. However, we demonstrate that the results are strongly affected by: i) the relative weight between gNB installation costs and 5G service coverage level, ii) the scaling parameters to estimate the exposure generated by 5G gNBs, iii) the amount of exposure from pre-5G technologies and iv) the adopted frequency reuse scheme.
