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In this paper, to increase end-to-end throughput and energy efficiency of the multi-channel wireless multi-hop networks, a framework of jointly optimize congestion control in the transport layer, channel allocation in the data link layer and power control in the physical layer is proposed. It models the network by a generalized Network Utility Maximization (NUM) problem with elastic link data rate constraints. Through binary linearization and log-transformation, and after relaxing the binary constraints on channel allocation matrix, the NUM problem becomes a convex optimization problem, which can be solved by the gateway centralized through branch and bound algorithm with exponential time complexity. Then, a partially Distributed near-optimal jointly Congestion Control, Channel Allocation and Power Control (DCCCAPC) algorithm based on Lagrangian dual decomposition technique is proposed.
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