Distributed Chunk-Based Optimization for MultiCarrier Ultra-Dense Networks

查看全文 作　　者：GUO [1]Shaozhen;XING [1]Chengwen;FEI [1]Zesong;ZHOU [1]Gui;YAN [1]Xinge

机构地区：[1]School of Information and Electronics,Beijing Institute of Technology

出　　处：《China Communications》索引2016年第13卷第1期,共11页

基　　金：supported in part by Beijing Natural Science Foundation(4152047);the 863 project No.2014AA01A701;111 Project of China under Grant B14010;China Mobile Research Institute under grant[2014]451 摘　　要：In this paper,a distributed chunkbased 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. 关键词：优化算法大型网络多载波分布式密集分解算法拉格朗日松弛资源分配

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Distributed Chunk-Based Optimization for MultiCarrier Ultra-Dense Networks

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