Cross-layer optimization algorithm for wireless Mesh networks based on chance constrained programming
基于机会约束规划的无线Mesh网跨层优化算法

This paper proposed a stochastic model for joint optimal congestion control and power allocation in multi-radio multi-channel networks. It formulated the design problem as a network utility maximization subject to some constraints, which was a chance constrained programming. The model characterized the stochastic network flow and time-varying wireless environment in Mesh networks based on the stochastic network utility maximization. It used the genetic algorithm to solve the stochastic optimization problem. Simulations show that the results obtained by the chance constrained programming present the quantity relationship of network throughout, transmission power and link confidence level.