On-Demand Ultra-Dense Cloud Drone Networks: Opportunities, Challenges and Benefits; IEEE Communications Magazine; Vol. 56, iss. 6

Bibliographic Details
Parent link:IEEE Communications Magazine
Vol. 56, iss. 6.— 2018.— [P. 85-91]
Corporate Author: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Научно-образовательный центр "Автоматизация и информационные технологии"
Other Authors: Sharma N. Navudey, Magarini M. Maurizio, Dzhayakodi (Jayakody) Arachshiladzh D. N. K. Dushanta Nalin Kumara, Sharma V. Vishal, Li Dzhun
Summary:Title screen
The paradigm of previous 4G cellular technology has led to an increase in requirements for high data rate demands of mobile users in 5G. In order to meet this demand, constant densification of communication networks was required. Ultra Dense Networks (UDNs) have been proposed as a promising 5G technology to fulfill these requirements by the efficient and dynamic distribution of the radio resources. However, for implementation of UDN, mobile operators have to face many challenges such as severe interference resulting in a limited capacity due to the dense deployment of small cells, site location and acquisition for the deployment of base stations, backhauling issues, energy consumption, etc. In this article, in order to alleviate these limitations, we propose a novel idea of Ultra Dense Cloud-Drone Network (UDCDN) architecture. This scheme is featured with "on-demand" quality and substantial flexibility in terms of deployment. This anchors the challenges of traditional UDN settings and offers numerous benefits. Through simulation results of cell coverage, we verify the genuineness of implementing the proposed scheme and offer a new paradigm shift for UDN.
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.1109/MCOM.2018.1701001
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=664205

MARC

LEADER 00000naa0a2200000 4500
001 664205
005 20250425093446.0
035 |a (RuTPU)RU\TPU\network\35389 
090 |a 664205 
100 |a 20210331d2018 k||y0rusy50 ba 
101 0 |a eng 
102 |a US 
135 |a drcn ---uucaa 
181 0 |a i  
182 0 |a b 
200 1 |a On-Demand Ultra-Dense Cloud Drone Networks: Opportunities, Challenges and Benefits  |f N. Sharma, M. Magarini, D. N. K. Dzhayakodi (Jayakody) Arachshiladzh [et al.] 
203 |a Text  |c electronic 
300 |a Title screen 
320 |a [References: 15 tit.] 
330 |a The paradigm of previous 4G cellular technology has led to an increase in requirements for high data rate demands of mobile users in 5G. In order to meet this demand, constant densification of communication networks was required. Ultra Dense Networks (UDNs) have been proposed as a promising 5G technology to fulfill these requirements by the efficient and dynamic distribution of the radio resources. However, for implementation of UDN, mobile operators have to face many challenges such as severe interference resulting in a limited capacity due to the dense deployment of small cells, site location and acquisition for the deployment of base stations, backhauling issues, energy consumption, etc. In this article, in order to alleviate these limitations, we propose a novel idea of Ultra Dense Cloud-Drone Network (UDCDN) architecture. This scheme is featured with "on-demand" quality and substantial flexibility in terms of deployment. This anchors the challenges of traditional UDN settings and offers numerous benefits. Through simulation results of cell coverage, we verify the genuineness of implementing the proposed scheme and offer a new paradigm shift for UDN. 
461 |t IEEE Communications Magazine 
463 |t Vol. 56, iss. 6  |v [P. 85-91]  |d 2018 
610 1 |a труды учёных ТПУ 
610 1 |a электронный ресурс 
610 1 |a drones 
610 1 |a computer architecture 
610 1 |a databases 
610 1 |a 5G mobile communication 
610 1 |a macrocell networks 
610 1 |a simulation 
610 1 |a microcell networks 
610 1 |a мобильная связь 
610 1 |a дроны 
610 1 |a компьютерная архитектура 
610 1 |a базы данных 
701 1 |a Sharma  |b N.  |g Navudey 
701 1 |a Magarini  |b M.  |g Maurizio 
701 1 |a Dzhayakodi (Jayakody) Arachshiladzh  |b D. N. K.  |c specialist in the field of electronics  |c Professor of Tomsk Polytechnic University  |f 1983-  |g Dushanta Nalin Kumara  |3 (RuTPU)RU\TPU\pers\37962  |9 20606 
701 1 |a Sharma  |b V.  |g Vishal 
701 0 |a Li Dzhun 
712 0 2 |a Национальный исследовательский Томский политехнический университет  |b Инженерная школа информационных технологий и робототехники  |b Научно-образовательный центр "Автоматизация и информационные технологии"  |3 (RuTPU)RU\TPU\col\27515 
801 0 |a RU  |b 63413507  |c 20210331  |g RCR 
850 |a 63413507 
856 4 |u https://doi.org/10.1109/MCOM.2018.1701001 
942 |c CF