Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/31990
Title: Ambient IoT Connectivity Topologies: Technology Enablers, Applications, and Challenges
Authors: Al-Nahari, A
Liao, J
Jantti, R
Mishra, D
Phan-Huy, DT
Zhou, Y
Keywords: topology;backscatter;Internet of Things;relays;radio frequency;network topology;hardware;downlink;uplink;full-duplex system
Issue Date: 7-Aug-2025
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Nahari, A. et al. (2025) 'Ambient IoT Connectivity Topologies: Technology Enablers, Applications, and Challenges', IEEE Internet of Things Magazine, 0 (early access), pp. 1 - 8. doi: 10.1109/MIOT.2025.3596177.
Abstract: Sustainability and energy efficiency are anticipated to be foundational goals of sixth-generation (6G) networks, motivating the development of ultra-low-power communication solutions. The emerging concept of ambient Internet of things (A-IoT), currently under study by the third generation partnership project (3GPP), aims to enable ultra-low-power, battery-free connectivity over cellular networks to support the massive deployment of Internet of things (IoT) devices. Leveraging backscatter communication as a key enabler, A-IoT introduces a new class of devices designed to operate at ultra-low power levels, making it a promising candidate for sustainable 6G applications. In this article, we investigate the connectivity topologies of A-IoT based on backscatter communication. We analyze the enabling technologies in the context of each topology, highlighting how deployment constraints influence their design and feasibility. A comparative performance evaluation is presented, with an emphasis on the outage probability across the different topologies. Furthermore, we explore a range of applications specific to each topology and provide insights into practical challenges, alongside prospective solutions.
URI: https://bura.brunel.ac.uk/handle/2438/31990
DOI: https://doi.org/10.1109/MIOT.2025.3596177
ISSN: 2576-3180
Other Identifiers: ORCiD: Yi Zhou https://orcid.org/0000-0001-6407-068X
Appears in Collections:Dept of Computer Science Research Papers

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