Energy-Efficient Power-Controlled Resource Allocation for MIMO-Based Cognitive-Enabled B5G/6G Indoor-Flying Networks

Al-Maaitah, Rakan; Al‐Obiedollah, Haitham; Al-Ajlouni, Ahmad F.

doi:10.1109/access.2022.3212380

Cited by 7 publications

(1 citation statement)

References 44 publications

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“…With advancements in wireless communication technology, sixth generation (6G) is bringing advanced technologies, such as mm-Wave [ 1 , 2 , 3 ], unmanned aerial vehicles (UAVs) [ 4 , 5 , 6 ], tera-hertz (THz) communications [ 7 , 8 , 9 ], intelligent reflecting surfaces (IRS) [ 10 , 11 , 12 ], non-orthogonal multiple access (NOMA) [ 13 , 14 , 15 ], etc., to overcome the limitations of prior wireless generations. Indoor positioning systems (IPSs) and location-based services have become a fundamental requirement for many Industrial Internet of Things (IIoT) applications [ 16 , 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Indoor Positioning System (IPS) Using Ultra-Wide Bandwidth (UWB)—For Industrial Internet of Things (IIoT)

Che

Ahmed

Lazaridis

et al. 2023

Sensors

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The integration of the physical and digital world has become increasingly important, and location-based services have become the most sought-after application in the field of the Internet of Things (IoT). This paper delves into the current research on ultra-wideband (UWB) indoor positioning systems (IPS). It begins by examining the most common wireless communication-based technologies for IPSs followed by a detailed explanation of UWB. Then, it presents an overview of the unique characteristics of UWB technology and the challenges still faced by the IPS implementation. Finally, the paper evaluates the advantages and limitations of using machine learning algorithms for UWB IPS.

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