Stackelberg games-based distributed algorithm of transmission rate match in end-to-end communication

摘要

In this paper, we introduced a distributed transmission factor match algorithm in end to end communication system. The problem is described as a Stackelberg game, and two utilities functions based on payoff and cost are designed to taking the maximum utility as the optimization objective. It is demonstrated that the proposed algorithm converged to a unique Nash equilibrium under the constraint of the limited total bandwidth. Simulation results shown that, optimal transmission strategies and Subgame perfect Nash equilibrium of end systems are acquired, and the algorithm is effective. Compared with the traditional end to end communication scheme, the proposed algorithm can significantly improve the performance in terms of system utility and transmission efficiency.