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The M\u00f6bius transform is exploited for the first time to analyze the convergence condition of the power control algorithm. A novel MAC scheme based on the M\u00f6bius transform is proposed for the link scheduling problem and proven to improve spatial reuse by scheduling links in pairs if possible. The peak power constraint of wireless networks is analyzed theoretically, and applications to random networks are explored in detail. Observations from the analysis of peak power constraints are also applied to the design of the MAC scheme (M\u00f6bius MAC) to improve the convergence speed and system performance. Simulation results show that our M\u00f6bius MAC can roughly double the performance of CSMA in terms of transport density. Applications to cognitive networks and heterogeneous networks are discussed. 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