Optimal Resource Allocation for Downlink OFDM-Based Cognitive Radio Networks Conference Paper

abstract

• 2017 IEEE. In this paper, we study the downlink resource allocation (RA) problem in orthogonal frequency division multiplexing (OFDM)-based cognitive radio (CR) networks. Our goal is to maximize the aggregated capacity of secondary users (SUs). In addition, the power of SUs is controlled to keep the interference introduced to primary users (PUs) under certain limits, which gives rise to a non-convex mixed integer non-linear programming (MINLP) optimization problem. In this paper, it is illustrated that the non-convex MINLP formulation admits a special structure and the optimal solution can be always achieved using standard convex optimization techniques under a general and practical assumption. In particular, the subgradient method is adopted to address the problem in the dual domain. The effectiveness of the proposed algorithms is verified by simulations.

name of conference

• 2017 International Symposium on Networks, Computers and Communications (ISNCC)

authors

• Serpedin, Erchin

published proceedings

• 2017 INTERNATIONAL SYMPOSIUM ON NETWORKS, COMPUTERS AND COMMUNICATIONS (ISNCC)

author list (cited authors)

• Wang, X. u., Ekin, S., & Serpedin, E.

citation count

• 3

complete list of authors

• Wang, Xu||Ekin, Sabit||Serpedin, Erchin

publication date

• May 2017

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• 2017 INTERNATIONAL SYMPOSIUM ON NETWORKS, COMPUTERS AND COMMUNICATIONS (ISNCC)  Journal

Digital Object Identifier (DOI)

• 10.1109/isncc.2017.8072008

International Standard Book Number (ISBN) 13

• 9781509042593

start page

• 1

end page

• 6

URL

• http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8054594