超密集6G 网络中的高效频谱资源共享方法

面对6G网络中用户密集化分布、频谱资源有限和分布式决策等挑战，提出了一种基于多维超图博弈的频谱资源共享方法。首先，根据6G网络太赫兹通信特点，设计了多维超图干扰模型，包括同频直接干扰、累计干扰和邻频干扰，通过降低多维干扰值以提升网络吞吐量。为实现分布式决策，将问题建模为超图博弈，并证明该博弈为势能博弈，至少存在一个纳什均衡点。然后，设计了基于同步最优响应的分布式频谱决策方法，求解频谱分配策略。仿真表明，所提的多维超图博弈实现了6G环境下分布式的频谱共享，与传统超图博弈方法相比，进一步降低了用户间的干扰水平，网络吞吐量大幅提升。

Efficient Spectrum Resource Sharing Methodin Hyperdense 6G Network

Aiming at the challenges such as hyperdense distribution of users, limited spectrum resources and distributed decision-making on 6G network, a spectrum resource sharing method based on multi-dimensional hypergraph game is proposed. Firstly, according to the characteristics of the terahertz communications on 6G network, a multi-dimensional hypergraph interference model was designed, including co-channel direct interference, co-channel accumulated interference and adjacent channel interference. The multi-dimensional interference value was reduced to improve the throughput of the network. In order to realize distributed decision making, the problem was modeled as a hypergraph game, which was proved to be a potential game and had at least one Nash equilibrium. Then, a distributed spectrum decision method based on concurrent highest response was designed to solve the optimal spectrum allocation strategy. The simulation results show that the proposed multi-dimensional hypergraph game has achieved the distributed spectrum sharing in 6G environment. Compared with the traditional hypergraph game methods, the interference level between users is further reduced and the network throughput is greatly improved.