Internet of Things (IoT) is a kind of information carrier, which enables for all ordinary objects that can perform independent functions to realize interconnection. The standardization process of wireless local area networks (WLANs) which is an important network system of IoT is gradually advancing. IEEE 802.11ax will replace IEEE 802.11a/b/g/n/ac as the latest WLANs standard. The uplink transmission of IEEE 802.11ax adopts a hybrid access mode. The mode means that the stations (STAs) can access the network adopting either scheduling access mode or random access mode. Since the hybrid access mode supports both the scheduling and random access, how to allocate the resources among the STAs which adopt the two access modes is the first problem to be solved. In particular, IEEE 802.11ax focuses more on the network performance of the high-dense deployment scenarios. The characteristic of the interference of the overlapping basic service set (OBSS) situation is the key factor of the efficiency of resource allocation algorithm. Therefore, firstly, this paper combines capacity entropy multi-user access (CEM) with utility function, and defines a metric value to measure the utility of two kinds of users. Secondly, the simulation-assisted method is used to obtain the probability distribution characteristic of the interference power random variables from dense multi-cell scenarios of IEEE 802.11ax. Then, based on interference power random variables which generated by the probability density curve obtained by simulation, we propose an algorithm which can maximizetotal utility of scheduling and random access STAs, i.e., to maximize the total satisfaction of all STAs. The authors believe that the research can enhance the quality of experience (QoE) of users in dense multi-cell scenarios for the next generation WLANs.

物联网（IoT）是一种信息载体，它使所有可以执行独立功能的普通对象实现互连。作为物联网的重要网络系统的无线局域网（WLAN）的标准化进程正在逐步推进。IEEE 802.11ax将取代IEEE 802.11a / b / g / n / ac作为最新的WLAN标准。IEEE 802.11ax的上行链路传输采用混合访问模式。该模式意味着站点（STA）可以采用调度访问模式或随机访问模式来访问网络。由于混合接入方式既支持调度接入又支持随机接入，因此如何解决在采用两种接入方式的STA之间分配资源的问题。特别是IEEE 802。11ax更加关注高密度部署方案的网络性能。重叠基本服务集（OBSS）情况的干扰特性是资源分配算法效率的关键因素。因此，首先，本文将容量熵多用户访问（CEM）与效用函数结合起来，并定义了一个度量值来衡量两种用户的效用。其次，利用仿真辅助方法从密集的IEEE 802.11ax多小区场景中获得干扰功率随机变量的概率分布特征。然后，基于仿真得到的概率密度曲线生成的干扰功率随机变量，提出了一种可以最大化调度和随机接入STA的总效用的算法，即 使所有STA的总满意度最大化。作者认为，这项研究可以提高下一代WLAN在密集多小区场景中的用户体验质量（QoE）。