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In order to optimize wireless heterogeneous coexistence networks and control congestion, a network optimization model was designed through authorization assisted access and wireless fidelity, and Markov chains were used to assist in modeling. In order to solve the throughput problem, the maximum throughput under different fairness constraints was optimized and virtual queues were introduced to control congestion. The experimental results show that the maximum simulation value of the total throughput of the coexisting network under the LAA-WiFi model is 0.99. The maximum throughput under the virtual queue method is approximately 317, and the minimum value is approximately 108. The LAA-WiFi model can alleviate network congestion problems, and its introduction of virtual queue methods can solve the problem of throughput degradation. The research results can be extended to other fields, providing reference for the optimization and congestion control of wireless heterogeneous coexistence networks in different scenarios.