Stefanovic Nenad, Blagojevic Marija, Pokrajac Ivan, Greconici Marian, Cen Yigang, Mladenovic Vladimir
Faculty of Technical Sciences Cacak, University of Kragujevac, 34000 Kragujevac, Serbia.
Electronic Systems Department, Military Technical Institute, 11000 Belgrade, Serbia.
Entropy (Basel). 2020 Oct 14;22(10):1151. doi: 10.3390/e22101151.
Considering that networks based on New Radio (NR) technology are oriented to provide services of desired quality (QoS), it becomes questionable how to model and predict targeted QoS values, especially if the physical channel is dynamically changing. In order to overcome mobility issues, we aim to support the evaluation of second-order statistics of signal, namely level-crossing rate (LCR) and average fade duration (AFD) that is missing in general channel 5G models. Presenting results from our symbolic encapsulation point 5G (SEP5G) additional tool, we fill this gap and motivate further extensions on current general channel 5G. As a matter of contribution, we clearly propose: (i) anadditional tool for encapsulating different mobile 5G modeling approaches; (ii) extended, wideband, LCR, and AFD evaluation for optimal radio resource allocation modeling; and (iii) lower computational complexity and simulation time regarding analytical expression simulations in related scenario-specific 5G channel models. Using our deterministic channel model for selected scenarios and comparing it with stochastic models, we show steps towards higherlevel finite state Markov chain (FSMC) modeling, where mentioned QoS parameters become more feasible, placing symbolic encapsulation at the center of cross-layer design. Furthermore, we generate values within a specified 5G passband, indicating how it can be used for provisioningoptimal radio resource allocation.
考虑到基于新无线电（NR）技术的网络旨在提供所需质量（QoS）的服务，那么如何对目标QoS值进行建模和预测就成了问题，尤其是在物理信道动态变化的情况下。为了克服移动性问题，我们旨在支持对信号的二阶统计量进行评估，即一般信道5G模型中缺失的电平交叉率（LCR）和平均衰落持续时间（AFD）。通过展示我们的符号封装点5G（SEP5G）附加工具的结果，我们填补了这一空白，并推动了当前通用信道5G的进一步扩展。作为贡献，我们明确提出：（i）一种用于封装不同移动5G建模方法的附加工具；（ii）为优化无线电资源分配建模而进行的扩展、宽带、LCR和AFD评估；以及（iii）在相关特定场景5G信道模型中，关于解析表达式模拟的较低计算复杂度和模拟时间。通过在选定场景中使用我们的确定性信道模型并将其与随机模型进行比较，我们展示了迈向更高层次有限状态马尔可夫链（FSMC）建模的步骤，在该建模中，上述QoS参数变得更加可行，将符号封装置于跨层设计的中心。此外，我们在指定的5G通带内生成值，表明它如何可用于提供优化的无线电资源分配。
