Reconfigurable Intelligent Surfaces Assisted 6G Communications for Internet of Everything

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Reconfigurable_Intelligent_Surfaces_Assisted_6G_Communications_for_Internet_of_Everything.pdf (1.85 MB)

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https://ieeexplore.ieee.org/abstract/document/10343106

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https://doi.org/10.1109/JIOT.2023.3339531
 http://hdl.handle.net/11603/31155

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UMBC Information Systems Department
UMBC Faculty Collection

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https://orcid.org/0000-0003-2631-9223

Date

2023-12-05

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journal articles
postprints
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Citation of Original Publication

Ahmad, Sohail, Muhammad Tariq, Mian Ahmad Jan, and Houbing Song. “Reconfigurable Intelligent Surfaces Assisted 6G Communications for Internet of Everything.” IEEE Internet of Things Journal, 2023, 1–1. https://doi.org/10.1109/JIOT.2023.3339531.

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© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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Abstract

The dynamic evolution of wireless communication, driven by the Internet of Everything (IoE) and the envisioned 6G networks, presents both challenges and opportunities. IoE expands beyond IoT, encompassing diverse devices, human interactions, and environmental elements. To unlock IoE’s vast potential and harness the capabilities of 6G, we propose a framework named ISRiD, which assimilates three key components: Integrated Sensing and Communication (ISAC), Reconfigurable Intelligent Surfaces (RIS), and Deep Deterministic Policy Gradient (DDPG). This creates an adaptive, data-driven communication framework for IoE and 6G. ISAC enhances situational awareness, RIS optimizes signal paths, and DDPG adds intelligence. This empowers devices to collect environmental data for optimization and intelligent decisions. By leveraging real-time sensor data, ISRiD optimizes communication protocols, significantly improving efficiency and reliability in wireless networks. Despite challenges, this approach equips IoE, including the advancements brought by 6G, to meet evolving demands, as validated by empirical experiments and simulations.