Joint Congestion Control, Contention Control and Resource Allocation in Wireless Networks

Traditional congestion control protocols assume that each link provides a fixed capacity, while it is not always the case in wireless networks which have shared and variable medium. In this paper, we incorporate variable link capacity as a function of resource allocated, and random-access interference model dependent on physical location, in addition to congestion control, into the network utility maximization framework. Despite non-convexity and non-separability of the primal formulation, we transform the problem and apply a two-level dual based decomposition for solving it. We then propose practical algorithm and prove their convergence to the globally optimum. By collaboratively optimization of transmission rate at the transport layer, link persistence probability at the media-access control layer, and allocated resource at the physical layer, our algorithm can improve the system performance which is further demonstrated by numerical results.