6 GHz免许可频谱中WiFi与蜂窝网络共存的博弈论框架
A Game-Theoretic Framework for Coexistence of WiFi and Cellular Networks in the 6-GHz Unlicensed Spectrum
AI总结：
针对6 GHz免许可频谱中WiFi与5G蜂窝网络的共存问题，提出基于非合作博弈的分布式频谱共享框架，采用分布式最佳响应算法求解，显著提升两类网络平均数据速率，且在非均匀分布的真实场景中具备可行性。
摘要：
我们研究了WiFi与5G蜂窝网络在利用近期开放的6 GHz频谱进行免许可接入、同时遵守现有用户施加的约束时的交互关系。我们利用随机几何推导了每种无线接入技术用户的理论性能指标，从而捕捉网络的整体行为。我们提出了一个框架，将部分蜂窝网络和WiFi网络分组形成实体，这些实体通过参与非合作博弈来交互，以满足各自的服务质量（QoS）需求。实体的动作对应于其在6 GHz频段工作的网元占比。由于该博弈具有去中心化特性，我们采用分布式最佳响应算法（Best Response Algorithm）求解，该算法使蜂窝网络和WiFi网络的平均数据速率分别提升了11.37%和18.59%。结果阐明了系统参数如何影响均衡状态下的网络性能，并凸显了使用6 GHz频段带来的吞吐量增益。我们在包含真实网络位置的实际场景中测试了该框架，表明即使网络和用户的空间分布是非均匀的，多实体频谱共享的实际部署也是可行的。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
