國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

A Novel Dynamic Spectrum Sensing App...

Mekala, Murali.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Novel Dynamic Spectrum Sensing Approach Using Crowdsourcing for Multi-RAT Coexistence in 5g Networks.
作者:	Mekala, Murali.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, 2019
面頁冊數:	45 p.
附註:	Source: Masters Abstracts International, Volume: 81-02.
附註:	Advisor: Sinha, Koushik.
Contained By:	Masters Abstracts International81-02.
標題:	Computer science.
電子資源:	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.
LDR:02042nmm a2200313 4500 001 570740
005 20200514111948.5
008 200901s2019 ||||||||||||||||| ||eng d
020 $a 9781085559782
035 $a (MiAaPQ)AAI13856441
035 $a AAI13856441
040 $a MiAaPQ $c MiAaPQ
100 1 $a Mekala, Murali. $3 857413
245 1 0 $a A Novel Dynamic Spectrum Sensing Approach Using Crowdsourcing for Multi-RAT Coexistence in 5g Networks.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 45 p.
500 $a Source: Masters Abstracts International, Volume: 81-02.
500 $a Advisor: Sinha, Koushik.
502 $a Thesis (M.S.)--Southern Illinois University at Carbondale, 2019.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a 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.
590 $a School code: 0209.
650 4 $a Computer science. $3 199325
650 4 $a Electrical engineering. $3 454503
690 $a 0984
690 $a 0544
710 2 $a Southern Illinois University at Carbondale. $b Computer Science. $3 857414
773 0 $t Masters Abstracts International $g 81-02.
790 $a 0209
791 $a M.S.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13856441