A Distributed Optimization Framework For Multi-channel Multi-user Small Cell Networks

Small cell enchantment is emerging as the key technique for future wireless network evolution. This paper propose a distribute optimization framework that enables optimal (or close to optimal) scheduling and resource allocation for a multi-channel multi-user small cell network. We propose a novel analog signaling scheme that enables inexplicit message passing among network users with a low complexity. We formulate the network weighted sum rate maximization problem as a convex optimization problem by adding the time-sharing mechanism in the design. We solve this problem by the sub-gradient based algorithm with polynomial-time complexity. Based on insights obtained from the optimal solution, we design a more efficient sub-optimal algorithm with a close-to-optimal performance and a much lower complexity, and thus suitable for the implementation in practical systems.