Joint decision of sensing threshold and power allocation in OFDM cognitive radio networks

Xu Wang, Sabit Ekin, Erchin Serpedin

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

Abstract

In this work, the joint optimization of sensing threshold and power allocation strategy in orthogonal frequency division multiplexing (OFDM)-based cognitive radio (CR) networks is studied. The aim is to maximize the total capacity of secondary users (SUs) while limiting the interference caused to the primary users (PUs). Taking into account the sensing errors, the total capacity of SUs is expressed as a function of the sensing threshold and SUs' transmit power. The resulting problem represents a nonconvex mixed integer non-linear programming (MINLP) optimization. Due to the high computational complexity of the MINLP problem, an equivalent simplified problem is formulated without resorting to integer variables. A computationally efficient suboptimal algorithm is proposed to address the joint optimization problem. Using the suboptimal solution as the initial point, an alternating optimization method is then employed to enhance the solution accuracy. Computer simulation results confirm the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Communications, ICC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2018-May
ISBN (Print)9781538631805
DOIs
Publication statusPublished - 27 Jul 2018
Event2018 IEEE International Conference on Communications, ICC 2018 - Kansas City, United States
Duration: 20 May 201824 May 2018

Other

Other2018 IEEE International Conference on Communications, ICC 2018
CountryUnited States
CityKansas City
Period20/5/1824/5/18

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Wang, X., Ekin, S., & Serpedin, E. (2018). Joint decision of sensing threshold and power allocation in OFDM cognitive radio networks. In 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings (Vol. 2018-May). [8422510] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2018.8422510