Robust power allocation for cognitive radio system in underlay mode

Rongfei Fan*, Qi Gu, Xuming An, Yu Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

. In this paper, the power allocation problem in cognitive underlay system is studied given a number of samples of interference channel’s gain. System throughput of secondary users is aimed to be maximized while limiting the worst-case interference outage probability. With only a number of samples of interference channel’s gain, we define an uncertain region of possible probability density function (PDF) of interference channel’s gain and further derive the closed-form expression for the interference outage probability constraint. By replacing the formulated constraint on interference outage probability with closed-form one, we show the originally formulated problem is a convex optimization problem.

Original languageEnglish
Title of host publicationIoT as a Service- 4th EAI International Conference, IoTaaS 2018, Proceedings
EditorsBo Li, Mao Yang, Zhongjiang Yan, Hui Yuan
PublisherSpringer Verlag
Pages426-430
Number of pages5
ISBN (Print)9783030146566
DOIs
Publication statusPublished - 2019
Event4th International Conference on IoT as a Service, IoTaaS 2018 - Xi’an, China
Duration: 17 Nov 201818 Nov 2018

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume271
ISSN (Print)1867-8211

Conference

Conference4th International Conference on IoT as a Service, IoTaaS 2018
Country/TerritoryChina
CityXi’an
Period17/11/1818/11/18

Keywords

  • Cognitive radio
  • Robust power allocation
  • Underlay

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