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Sample Approximation-Based Deflation Approaches for Chance SINR-Constrained Joint Power and Admission Control
IEEE Transactions on Wireless Communications
  • Ya-Feng Liu, Chinese Academy of Sciences
  • Mingyi Hong, Iowa State University
  • Enbin Song, Sichuan University
Document Type
Article
Publication Version
Submitted Manuscript
Publication Date
1-1-2016
DOI
10.1109/TWC.2016.2542240
Abstract
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.
Comments

This is a manuscript of an article from IEEE Transactions on Wireless Communications 15 (2016): 4535, DOI: 10.1109/TWC.2016.2542240. Posted with permission.

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Copyright Owner
IEEE
Language
en
File Format
application/pdf
Citation Information
Ya-Feng Liu, Mingyi Hong and Enbin Song. "Sample Approximation-Based Deflation Approaches for Chance SINR-Constrained Joint Power and Admission Control" IEEE Transactions on Wireless Communications Vol. 15 Iss. 7 (2016) p. 4535 - 4547
Available at: http://works.bepress.com/mingyi_hong/21/