中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Sample Approximation-Based Deflation Approaches for Chance SINR-Constrained Joint Power and Admission Control

文献类型:期刊论文

作者Liu, Ya-Feng1; Hong, Mingyi2; Song, Enbin3
刊名IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
出版日期2016-07-01
卷号15期号:7页码:4535-4547
关键词Chance SINR constraint group sparse power and admission control sample approximation
ISSN号1536-1276
DOI10.1109/TWC.2016.2542240
英文摘要Consider the joint power and admission control ( JPAC) problem for a multiuser single-input single-output ( SISO) interference channel. Most existing works on JPAC assume the perfect instantaneous channel state information ( CSI). In this paper, we consider the JPAC problem with the imperfect CSI, i.e., we assume that only the channel distribution information ( CDI) is available. We formulate the JPAC problem into a chance ( probabilistic)-constrained program, where each link's SINR outage probability is enforced to be less than or equal to a specified tolerance. To circumvent the computational difficulty of the chance SINR constraints, we propose to use the sample ( scenario) approximation scheme to convert them into finitely many simple linear constraints. Furthermore, we reformulate the sample approximation of the chance SINR-constrained JPAC problem as a composite group sparse minimization problem and then approximate it by a second-order cone program ( SOCP). The solution of the SOCP approximation can be used to check the simultaneous supportability of all links in the network and to guide an iterative link removal procedure ( the deflation approach). We exploit the special structure of the SOCP approximation and custom-design an efficient algorithm for solving it. Finally, we illustrate the effectiveness and efficiency of the proposed sample approximation-based deflation approaches by simulations.
资助项目National Natural Science Foundation of China[11301516] ; National Natural Science Foundation of China[11331012] ; National Natural Science Foundation of China[11571221] ; National Natural Science Foundation of China[61473197] ; NSF[CCF-1526078] ; AFOSR[15RT0767]
WOS研究方向Engineering ; Telecommunications
语种英语
WOS记录号WOS:000381502100004
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/23294]  
专题计算数学与科学工程计算研究所
通讯作者Liu, Ya-Feng
作者单位1.Chinese Acad Sci, State Key Lab Sci & Engn Comp, Inst Computat Math & Sci Engn Comp, Acad Math & Syst Sci, Beijing 100190, Peoples R China
2.Iowa State Univ, Dept Ind & Mfg Syst Engn IMSE, Ames, IA 50011 USA
3.Sichuan Univ, Dept Math, Chengdu 610064, Peoples R China
推荐引用方式
GB/T 7714
Liu, Ya-Feng,Hong, Mingyi,Song, Enbin. Sample Approximation-Based Deflation Approaches for Chance SINR-Constrained Joint Power and Admission Control[J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,2016,15(7):4535-4547.
APA Liu, Ya-Feng,Hong, Mingyi,&Song, Enbin.(2016).Sample Approximation-Based Deflation Approaches for Chance SINR-Constrained Joint Power and Admission Control.IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,15(7),4535-4547.
MLA Liu, Ya-Feng,et al."Sample Approximation-Based Deflation Approaches for Chance SINR-Constrained Joint Power and Admission Control".IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 15.7(2016):4535-4547.

入库方式: OAI收割

来源:数学与系统科学研究院

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