Overhead-Aware Design of Reconfigurable Intelligent Surfaces in Smart Radio Environments
| Autor: | Alessio Zappone, Merouane Debbah, Farshad Shams, Marco Di Renzo, Xuewen Qian |
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| Přispěvatelé: | University of Cassino and Southern Lazio [Cassino], Laboratoire des signaux et systèmes (L2S), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), HUAWEI Technologies France (HUAWEI) |
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
reconfigurable intelligent surfaces Computer science Wireless network Information Theory (cs.IT) Computer Science - Information Theory Applied Mathematics Distributed computing 6G wireless networks resource allocation smart radio environments 020206 networking & telecommunications 02 engineering and technology Computer Science Applications Channel state information 0202 electrical engineering electronic engineering information engineering Overhead (computing) Resource allocation Resource management Electrical and Electronic Engineering [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Efficient energy use |
| Zdroj: | IEEE Transactions on Wireless Communications IEEE Transactions on Wireless Communications, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/TWC.2020.3023578⟩ |
| ISSN: | 1558-2248 1536-1276 |
| DOI: | 10.1109/twc.2020.3023578 |
| Popis: | International audience; Reconfigurable intelligent surfaces have emerged as a promising technology for future wireless networks. Given that a large number of reflecting elements is typically used and that the surface has no signal processing capabilities, a major challenge is to cope with the overhead that is required to estimate the channel state information and to report the optimized phase shifts to the surface. This issue has not been addressed by previous works, which do not explicitly consider the overhead during the resource allocation phase. This work aims at filling this gap, by developing an overhead-aware resource allocation framework for wireless networks where reconfigurable intelligent surfaces are used to improve the communication performance. An overhead model is proposed and incorporated in the expressions of the system rate and energy efficiency, which are then optimized with respect to the phase shifts of the reconfigurable intelligent surface, the transmit and receive filters, the power and bandwidth used for the communication and feedback phases. The bi-objective maximization of the rate and energy efficiency is investigated, too. The proposed framework characterizes the trade-off between optimized radio resource allocation policies and the related overhead in networks with reconfigurable intelligent surfaces. |
| Databáze: | OpenAIRE |
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