Sample Approximation-Based Deflation Approaches for Chance SINR-Constrained Joint Power and Admission Control Liu, Ya-Feng Hong, Mingyi Hong, Mingyi Song, Enbin
dc.contributor.department Industrial and Manufacturing Systems Engineering 2018-02-18T04:39:37.000 2020-06-30T04:49:12Z 2020-06-30T04:49:12Z Fri Jan 01 00:00:00 UTC 2016 2016-01-01
dc.description.abstract <p>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.</p>
dc.description.comments <p>This is a manuscript of an article from <em>IEEE Transactions on Wireless Communications</em> 15 (2016): 4535, DOI: <a href="" target="_blank">10.1109/TWC.2016.2542240</a>. Posted with permission.</p>
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dc.identifier archive/
dc.identifier.articleid 1087
dc.identifier.contextkey 9700605
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath imse_pubs/82
dc.language.iso en
dc.source.bitstream archive/|||Sat Jan 15 02:08:01 UTC 2022
dc.source.uri 10.1109/TWC.2016.2542240
dc.subject.disciplines Industrial Engineering
dc.subject.disciplines Systems Architecture
dc.subject.disciplines Systems Engineering
dc.title Sample Approximation-Based Deflation Approaches for Chance SINR-Constrained Joint Power and Admission Control
dc.type article
dc.type.genre article
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relation.isOrgUnitOfPublication 51d8b1a0-5b93-4ee8-990a-a0e04d3501b1
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