Capacity-Oriented RIS Control Through a Genetic Algorithm with Learning Capability
Francesco Zardi,Giacomo Oliveri,Paolo Rocca,Andrea Massa +3 more
- 10 Jul 2022
pp 69-70
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TL;DR: This work addresses the issue of controlling a Reconfigurable Intelligent Surface in real-time to maximize the network capacity by exploiting a Genetic Algorithm augmented with learning capabilities to achieve high computation efficiency and guarantee consistent network performance in highly-dynamic scenarios.
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Abstract: This work addresses the issue of controlling a Reconfigurable Intelligent Surface (RIS) in real-time to maximize the network capacity. A RIS control strategy is proposed exploiting a Genetic Algorithm (GA) augmented with learning capabilities to achieve high computation efficiency and guarantee consistent network performance in highly-dynamic scenarios. The proposed strategy does not require knowledge of the channel between the RIS and the users, enabling the design of RIS without channel-sensing hardware. The proposed strategy is demonstrated in a small-scale numerical example.
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Citations
RIS Dynamic Control Strategies in Smart EM Environments for 6G Networks
Giacomo Oliveri,A. Benoni,Paolo Rocca,Marco Salucci,Andrea Massa +4 more
- 26 Mar 2023
TL;DR: In this paper , the authors illustrate the recent advances and emerging solution strategies for RIS configuration and adaptation in next generation networks, which is relevant concerning the surface dynamic control algorithms to be implemented for successful integration of RISs in existing wireless environments.
1
References
Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming
Qingqing Wu,Rui Zhang +1 more
TL;DR: Simulation results demonstrate that an IRS-aided single-cell wireless system can achieve the same rate performance as a benchmark massive MIMO system without using IRS, but with significantly reduced active antennas/RF chains.
Wireless Communications Through Reconfigurable Intelligent Surfaces
Ertugrul Basar,Marco Di Renzo,Julien de Rosny,Merouane Debbah,Mohamed-Slim Alouini,Rui Zhang +5 more
TL;DR: In this paper, the authors provide a detailed overview and historical perspective on state-of-the-art solutions, and elaborate on the fundamental differences with other technologies, the most important open research issues to tackle, and the reasons why the use of reconfigurable intelligent surfaces necessitates to rethink the communication-theoretic models currently employed in wireless networks.
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•Posted Content
Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication
TL;DR: The adoption of a reconfigurable intelligent surface (RIS) for downlink multi-user communication from a multi-antenna base station is investigated and the results show that the proposed RIS-based resource allocation methods are able to provide up to 300% higher energy efficiency in comparison with the use of regular multi-Antenna amplify-and-forward relaying.
Max-Min Fairness in IRS-Aided Multi-Cell MISO Systems With Joint Transmit and Reflective Beamforming
Hailiang Xie,Jie Xu,Ya-Feng Liu +2 more
TL;DR: This paper investigates an intelligent reflecting surface (IRS)-aided multi-cell multiple-input single-output (MISO) network with a set of multi-antenna base stations each communicating with multiple single-antenn users, in which an IRS is dedicatedly deployed for assisting the wireless transmission and suppressing the inter-cell interference.
208
Holographic Smart EM Skins for Advanced Beam Power Shaping in Next Generation Wireless Environments
Giacomo Oliveri,Paolo Rocca,Marco Salucci,Andrea Massa +3 more
- 19 Oct 2021
TL;DR: In this article, an innovative approach for the synthesis of inexpensive holographic smart electromagnetic (EM) skins with advanced beamforming features is proposed, which is formulated within the generalized sheet transition condition (GSTC) framework as a combination of a mask-constrained isophoric inverse source problem and a micro-scale susceptibility dyadic optimization.
108