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A Novel Dynamic Spectrum Sensing App...

Mekala, Murali.

A Novel Dynamic Spectrum Sensing Approach Using Crowdsourcing for Multi-RAT Coexistence in 5g Networks.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Novel Dynamic Spectrum Sensing Approach Using Crowdsourcing for Multi-RAT Coexistence in 5g Networks.
Author:	Mekala, Murali.
Published:	Ann Arbor : ProQuest Dissertations & Theses, 2019
Description:	45 p.
Notes:	Source: Masters Abstracts International, Volume: 81-02.
Notes:	Advisor: Sinha, Koushik.
Contained By:	Masters Abstracts International81-02.
Subject:	Computer science.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13856441
ISBN:	9781085559782

A Novel Dynamic Spectrum Sensing Approach Using Crowdsourcing for Multi-RAT Coexistence in 5g Networks.
Mekala, Murali.

A Novel Dynamic Spectrum Sensing Approach Using Crowdsourcing for Multi-RAT Coexistence in 5g Networks. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 45 p.

Source: Masters Abstracts International, Volume: 81-02.

Thesis (M.S.)--Southern Illinois University at Carbondale, 2019.

This item must not be sold to any third party vendors.

With ushering of 5G networks, dynamic spectrum sensing and allocation has become major area of research in recent times. There are some approaches-based on leveraging mobile users for spectrum sensing. However, none of the existing solution in literature takes into account both energy-efficient operations of sensing devices and their hardware limitations while allocating sensing task to mobile users. As spectrum sensing is a time-consuming and computation-intensive task, a practical crowdsensing based spectrum usage map creation strategy needs to consider the trade-off between execution time and completeness defined in terms of coverage of geographical/service area as well as spectrum bands. In this approach, we are going to create a spectrum usage database for each location with each sensed channel marked as idle, busy or undermined. An algorithm is proposed based on energy and hardware limitation of sensing devices for allocation of crowdsensing tasks.

ISBN: 9781085559782Subjects--Topical Terms:

199325
Computer science.

A Novel Dynamic Spectrum Sensing Approach Using Crowdsourcing for Multi-RAT Coexistence in 5g Networks.
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