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Joint Bandwidth Allocation and Path Selection in WANs with Path Cardinality Constraints

作     者:Jinxin Wang Fan Zhang Zhonglin Xie Zaiwen Wen Gong Zhang 

作者机构:Department of Systems Engineering and Engineering ManagementCUHKHong Kong 999077China Theory Lab2012 Labs.Huawei Technologies Co.LtdHong Kong 999077China School of Mathematical SciencePeking UniversityBeijing 100871China Beijing International Center for Mathematical ResearchPeking UniversityBeijing 100871China 

出 版 物:《Journal of Communications and Information Networks》 (通信与信息网络学报(英文))

年 卷 期:2021年第6卷第3期

页      面:237-250页

核心收录:

学科分类:08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:supported by the National Natural Science Foundation of China under Grant 11831002 

主  题:bandwidth allocation unsplittable flows cardinality constraints network utility maximization LADMM 

摘      要:In this paper,we study the joint bandwidth allocation and path selection problem,which is an extension of the well-known network utility maximization(NUM)problem,via solving a multi-objective minimization problem under path cardinality ***,such a problem formulation captures various types of objectives including proportional fairness,average delay,as well as load *** addition,in order to handle theunsplittable flows,path cardinality constraints are added,making the resulting optimization problem quite challenging to solve due to intrinsic nonsmoothness and *** all existing works deal with such a problem using relaxation techniques to transform it into a convex optimization ***,we provide a novel solution framework based on the linearized alternating direction method of multipliers(LADMM)to split the original problem with coupling terms into several *** then derive that these subproblems,albeit nonconvex nonsmooth,are actually simple to solve and easy to implement,which can be of independent *** some mild assumptions,we prove that any limiting point of the generated sequence of the proposed algorithm is a stationary *** simulations are performed to demonstrate the advantages of our proposed algorithm compared with various baselines.

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