We study the interaction of WiFi and 5G cellular networks as they exploit the recently unlocked 6-GHz spectrum for unlicensed access while conforming to the constraints imposed by the incumbent users. We derive the theoretical performance metrics for users of each radio access technology using stochastic geometry, thereby capturing the aggregate behaviour of the network. We propose a framework where the portions of cellular and WiFi networks are grouped to form entities that interact to satisfy their QoS demands by playing a non-cooperative game. The action of an entity corresponds to the fraction of its network elements operating in the 6-GHz band. Due to the decentralized nature of the game, we find the solution using distributed Best Response Algorithm, which improves the average datarate by 11.37% and 18.59% for cellular and WiFi networks, respectively. The results demonstrate how the system parameters affect the performance of a network at equilibrium and highlight the throughput gains as a result of using the 6-GHz bands. We tested our framework on a real-world setup with actual network locations, showing that practical implementation of multi-entity spectrum sharing is feasible even when the spatial distribution of the network and users are non-homogeneous.
翻译:我们研究WiFi和5G蜂窝网络的相互作用,因为它们利用最近打开的6GHz频谱进行无证访问,同时符合现有用户的限制条件。我们用随机几何测量法为每个无线电访问技术的用户提供理论性能衡量标准,从而捕捉网络的总体行为。我们建议一个框架,将蜂窝和WiFi网络部分分组,形成实体,通过玩不合作游戏来互动以满足其QOS的要求。一个实体的行动与在6GHz频段运行的网络元素的一小部分相对应。由于游戏的分散性质,我们利用分布式最佳反应阿尔哥里特姆找到解决办法,将蜂窝和WiFi网络的平均数据率分别提高11.37%和18.59%。结果显示系统参数如何影响网络在平衡时的性能,并强调使用6GHz波段所产生的吞吐量收益。我们用实际网络位置对现实世界框架进行了测试,显示即使在网络空间分布时,多点频谱共享也是可行的。