research-article

Joint Optimization of Sensing and Power Allocation in Energy-Harvesting Cognitive Radio Networks

Authors:

Feng WangAuthors Info & Claims

ACM Transactions on Embedded Computing Systems (TECS), Volume 17, Issue 1

Article No.: 8, Pages 1 - 21

https://doi.org/10.1145/3070709

Published: 20 September 2017 Publication History

Abstract

The energy-harvesting cognitive radio (CR) network is proposed to improve the spectrum efficiency and energy efficiency. We focus on the optimization of sensing time and power allocation to maximize the throughput of the energy-harvesting CR network subject to the energy causality constraint and collision constraint. Based on the classification of operating regions, the optimization problem is divided into two sub-problems. Then, the efficient iterative Algorithm 1 and Algorithm 2 are proposed to solve sub-problem (A) and sub-problem (B), respectively. Numerical results show that a significant improvement in the throughput is achieved via joint optimization of sensing time and power allocation.

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Cited By

Bakshi SSharma SKhanna R(2022)Performance Optimization in Energy Harvesting Cognitive Radio Networks a Shift Towards Metaheuristics2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT)10.1109/ACAIT56212.2022.10137997(1-7)Online publication date: 9-Dec-2022
https://doi.org/10.1109/ACAIT56212.2022.10137997
García Baquerizo JSuárez AMacias ESalas E(2019)Hardware Mechanism for Energy Saving in WiFi Access PointsSensors10.3390/s1921474519:21(4745)Online publication date: 1-Nov-2019
https://doi.org/10.3390/s19214745
Moradi AFarrokhi HGhazizade R(2018)Throughput optimization using simultaneous sensing and transmission in energy harvesting cognitive radio networksInternational Journal of Communication Systems10.1002/dac.385032:3Online publication date: 26-Nov-2018
https://doi.org/10.1002/dac.3850

Index Terms

Joint Optimization of Sensing and Power Allocation in Energy-Harvesting Cognitive Radio Networks
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Sensor networks
2. Networks
  1. Network types
    1. Mobile networks

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Published In

cover image ACM Transactions on Embedded Computing Systems

ACM Transactions on Embedded Computing Systems Volume 17, Issue 1

Special Issue on Autonomous Battery-Free Sensing and Communication, Special Issue on ESWEEK 2016 and Regular Papers

January 2018

630 pages

ISSN:1539-9087

EISSN:1558-3465

DOI:10.1145/3136518

Editor:
Sandeep K. Shukla
Indian Institute of Technology, India

Issue’s Table of Contents

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Journal Family

ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 20 September 2017

Accepted: 01 March 2017

Revised: 01 January 2017

Received: 01 May 2016

Published in TECS Volume 17, Issue 1

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Cited By

Bakshi SSharma SKhanna R(2022)Performance Optimization in Energy Harvesting Cognitive Radio Networks a Shift Towards Metaheuristics2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT)10.1109/ACAIT56212.2022.10137997(1-7)Online publication date: 9-Dec-2022
https://doi.org/10.1109/ACAIT56212.2022.10137997
García Baquerizo JSuárez AMacias ESalas E(2019)Hardware Mechanism for Energy Saving in WiFi Access PointsSensors10.3390/s1921474519:21(4745)Online publication date: 1-Nov-2019
https://doi.org/10.3390/s19214745
Moradi AFarrokhi HGhazizade R(2018)Throughput optimization using simultaneous sensing and transmission in energy harvesting cognitive radio networksInternational Journal of Communication Systems10.1002/dac.385032:3Online publication date: 26-Nov-2018
https://doi.org/10.1002/dac.3850

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