TY - JOUR
T1 - Indoor Flying Networks for 6G
T2 - Concepts, Challenges, Enabling Technologies, and Opportunities
AU - Ahmad, Rizwana
AU - Ayyash, Moussa
AU - Salameh, Haythem Bany
AU - El-Khazali, Reyad
AU - Eigala, Hany
N1 - Publisher Copyright:
© 1979-2012 IEEE.
PY - 2023/10/1
Y1 - 2023/10/1
N2 - The demand for intelligent networks and diversified computing applications is driving the need for 6G communication networks. Additionally, the innovative 6G applications will impose stringent requirements that will be difficult to satisfy with fixed, pre-deployed infrastructures. The characteristics of unmanned aerial vehicles (UAVs) make them an essential component of the outdoor and indoor 6G infrastructures. UAVs can form indoor-flying networks (IFNs) to support the indoor 6G infrastructure. This article introduces the concept of IFNs, covers the application scenarios of IFNs, discusses the enabling technologies to effectively deploy IFNs, highlights technical challenges, and presents potential research opportunities. Additionally, this article presents a use case scenario that employs machine learning techniques to enable more efficient modulation and coding to enable IFNs in the manufacturing industry.
AB - The demand for intelligent networks and diversified computing applications is driving the need for 6G communication networks. Additionally, the innovative 6G applications will impose stringent requirements that will be difficult to satisfy with fixed, pre-deployed infrastructures. The characteristics of unmanned aerial vehicles (UAVs) make them an essential component of the outdoor and indoor 6G infrastructures. UAVs can form indoor-flying networks (IFNs) to support the indoor 6G infrastructure. This article introduces the concept of IFNs, covers the application scenarios of IFNs, discusses the enabling technologies to effectively deploy IFNs, highlights technical challenges, and presents potential research opportunities. Additionally, this article presents a use case scenario that employs machine learning techniques to enable more efficient modulation and coding to enable IFNs in the manufacturing industry.
UR - http://www.scopus.com/inward/record.url?scp=85149377399&partnerID=8YFLogxK
U2 - 10.1109/MCOM.009.2200559
DO - 10.1109/MCOM.009.2200559
M3 - Article
AN - SCOPUS:85149377399
SN - 0163-6804
VL - 61
SP - 156
EP - 162
JO - IEEE Communications Magazine
JF - IEEE Communications Magazine
IS - 10
ER -
