Distributed chunk-based optimization for multi-carrier ultra-dense networks

In this paper, a distributed chunk-based optimization algorithm is proposed for the resource allocation in broadband ultra-dense small cell networks. Based on the proposed algorithm, the power and subcarrier allocation problems are jointly optimized. In order to make the resource allocation suitable for large scale networks, the optimization problem is decomposed first based on an effective decomposition algorithm named optimal condition decomposition (OCD) algorithm. Furthermore, aiming at reducing implementation complexity, the subcarriers are divided into chunks and are allocated chunk by chunk. The simulation results show that the proposed algorithm achieves more superior performance than uniform power allocation scheme and Lagrange relaxation method, and then the proposed algorithm can strike a balance between the complexity and performance of the multi-carrier Ultra-Dense Networks.