论文标题
用于移动用户访问模式的进化游戏，以$ 6 $ GHz/mmwave蜂窝网络选择
An Evolutionary Game for Mobile User Access Mode Selection in sub-$6$ GHz/mmWave Cellular Networks
论文作者
论文摘要
通过利用两个强大的工具，即随机几何（SG）和进化游戏理论（EGT）的组合，我们在本文中研究了移动用户（MU）模式选择的问题，以异类的亚$ 6 $ GHz/毫米/毫米波（mmmwave）蜂窝网络。尤其是，通过使用SG工具，我们首先提出一个分析框架来评估所考虑的网络的性能，以平均信噪比与噪声（SINR）比率（SINR）比率，平均率和移动性诱导的时间间接开销，以使用用户流动性{.。}根据SG基于SG的框架，基于EGT的方法，一种基于EGT的方法来解决访问模式。具体而言，考虑了两个基于EGT的模型，在每个MU的情况下，其效用函数分别取决于平均SINR和平均率，而开销时间则被视为罚款。提出了分布式算法来达到进化平衡，其中理论上分析并证明了平衡的存在和稳定性。此外，我们通过考虑信息延迟交换并评估其对拟议算法的融合的影响来扩展公式。我们的结果表明，与常规的访问模式选择技术相比，提出的技术可以提供具有移动性的异质级别$ 6 $ GHz/mmwave蜂窝网络的更好的光谱效率和连通性。
By utilizing the combination of two powerful tools i.e., stochastic geometry (SG) and evolutionary game theory (EGT), in this paper, we study the problem of mobile user (MU) mode selection in heterogeneous sub-$6$ GHz/millimeter wave (mmWave) cellular networks. Particularly, by using SG tools, we first propose an analytical framework to assess the performance of the considered networks in terms of average signal-to-interference-plus-noise (SINR) ratio, average rate, and mobility-induced time overhead, for scenarios with user mobility{.} According to the SG-based framework, an EGT-based approach is presented to solve the problem of access mode selection. Specifically, two EGT-based models are considered, where for each MU its utility function depends on the average SINR and the average rate, respectively, while the time overhead is considered as a penalty term. A distributed algorithm is proposed to reach the evolutionary equilibrium, where the existence and stability of the equilibrium is theoretically analyzed and proved. Moreover, we extend the formulation by considering information delay exchange and evaluate its impact on the convergence of the proposed algorithm. Our results reveal that the proposed technique can offer better spectral efficiency and connectivity in heterogeneous sub-$6$ GHz/mmWave cellular networks with mobility, compared with the conventional access mode selection techniques.
