[HTML][HTML] Smart farming for improving agricultural management

ES Mohamed, AA Belal, SK Abd-Elmabod… - The Egyptian Journal of …, 2021 - Elsevier
The food shortage and the population growth are the most challenges facing sustainable
development worldwide. Advanced technologies such as artificial intelligence (AI), the …

A comprehensive overview on 5G-and-beyond networks with UAVs: From communications to sensing and intelligence

Q Wu, J Xu, Y Zeng, DWK Ng… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Due to the advancements in cellular technologies and the dense deployment of cellular
infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and …

User-centric cell-free massive MIMO networks: A survey of opportunities, challenges and solutions

HA Ammar, R Adve, S Shahbazpanahi… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Densification of network base stations is indispensable to achieve the stringent Quality of
Service (QoS) requirements of future mobile networks. However, with a dense deployment of …

A survey on the 5G network and its impact on agriculture: Challenges and opportunities

Y Tang, S Dananjayan, C Hou, Q Guo, S Luo… - … and Electronics in …, 2021 - Elsevier
Over the next decade, the superfast 5G network will play a critical role in farming industries
to improve the yields and quality of crops while using minimal labor. Smart and precision …

5G wireless network slicing for eMBB, URLLC, and mMTC: A communication-theoretic view

P Popovski, KF Trillingsgaard, O Simeone… - Ieee …, 2018 - ieeexplore.ieee.org
The grand objective of 5G wireless technology is to support three generic services with
vastly heterogeneous requirements: enhanced mobile broadband (eMBB), massive …

Edge computing in 5G: A review

N Hassan, KLA Yau, C Wu - IEEE Access, 2019 - ieeexplore.ieee.org
5G is the next generation cellular network that aspires to achieve substantial improvement
on quality of service, such as higher throughput and lower latency. Edge computing is an …

Intelligent resource slicing for eMBB and URLLC coexistence in 5G and beyond: A deep reinforcement learning based approach

M Alsenwi, NH Tran, M Bennis… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In this paper, we study the resource slicing problem in a dynamic multiplexing scenario of
two distinct 5G services, namely Ultra-Reliable Low Latency Communications (URLLC) and …

Ultrareliable and low-latency wireless communication: Tail, risk, and scale

M Bennis, M Debbah, HV Poor - Proceedings of the IEEE, 2018 - ieeexplore.ieee.org
Ensuring ultrareliable and low-latency communication (URLLC) for 5G wireless networks
and beyond is of capital importance and is currently receiving tremendous attention in …

Industrial IoT in 5G environment towards smart manufacturing

J Cheng, W Chen, F Tao, CL Lin - Journal of Industrial Information …, 2018 - Elsevier
Smart manufacturing based on cyber-physical manufacturing systems (CPMS) has become
the development trend and been widely recognized all over the world. Throughout the …

An overview of physical layer design for ultra-reliable low-latency communications in 3GPP releases 15, 16, and 17

TK Le, U Salim, F Kaltenberger - IEEE access, 2020 - ieeexplore.ieee.org
Ultra-reliable low-latency communication (URLLC) has been introduced in 5G new radio for
new applications that have strict reliability and latency requirements such as …