Sub-channel allocation in green powered heterogeneous cognitive radio networks

Ali Shahini, Nirwan Ansari

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

9 Scopus citations

Abstract

This paper aims at maximizing the sum rate of secondary users (SUs) in Orthogonal Frequency Division Multiplexing (OFDM)-based Heterogeneous Cognitive Radio (CR) Networks by considering some practical limitations such as various traffic demands of SUs, interference constraint and imperfect spectrum sensing. The CR system operates in a slotted mode, in which the SUs have no power supplies and harvest energy from ambient radio signal. Assuming SUs operate in a time switching fashion, the time slot is partitioned into three non-overlapping parts devoted for energy harvesting, spectrum sensing and data transmission. Then, the general problem of sum rate maximization is formulated as a mixed integer programming task. Since this problem is intractable, we propose a sub-channel allocation scheme based on a factor called Energy Figure of Merit to approximately satisfy SUs' rate requirements. Then, the integer constraints of the optimization problem are removed and the problem can be reduced to a convex optimization task. Considering the trade-off between fractions of the time slot, we focus on finding the optimal structures of SUs that maximize the total throughput while guaranteeing the rate requirements of both real-time (RT) and non-real-time (NRT) SUs. The numerical results validate the effectiveness and efficiency of our sub-channel allocation method as well as performance gain of the optimal structure.

Original languageEnglish (US)
Title of host publication37th IEEE Sarnoff Symposium, Sarnoff 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages13-18
Number of pages6
ISBN (Electronic)9781509015405
DOIs
StatePublished - Feb 7 2017
Event37th IEEE Sarnoff Symposium, Sarnoff 2016 - Newark, United States
Duration: Sep 19 2016Sep 21 2016

Publication series

Name37th IEEE Sarnoff Symposium, Sarnoff 2016

Other

Other37th IEEE Sarnoff Symposium, Sarnoff 2016
Country/TerritoryUnited States
CityNewark
Period9/19/169/21/16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture

Keywords

  • Energy Harvesting
  • Heterogeneous Cognitive Radio Network
  • Imperfect Spectrum Sensing
  • Sub-channel Allocation

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