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![]() |
刊名 | IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
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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 |
DOI | 10.1109/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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