Optimal resource allocation for downlink OFDM-Based cognitive radio networks

Xu Wang, Sabit Ekin, Erchin Serpedin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2017 International Symposium on Networks, Computers and Communications, ISNCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509042593
DOIs
Publication statusPublished - 18 Oct 2017
Event2017 International Symposium on Networks, Computers and Communications, ISNCC 2017 - Marrakech, Morocco
Duration: 16 May 201718 May 2017

Other

Other2017 International Symposium on Networks, Computers and Communications, ISNCC 2017
CountryMorocco
CityMarrakech
Period16/5/1718/5/17

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture

Cite this

Wang, X., Ekin, S., & Serpedin, E. (2017). Optimal resource allocation for downlink OFDM-Based cognitive radio networks. In 2017 International Symposium on Networks, Computers and Communications, ISNCC 2017 [8072008] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISNCC.2017.8072008