Improving Energy Efficiency in Satellite-to-Ground Communications With Multiple Reflecting Intelligent Surfaces
This study introduces two novel approaches to enhance the energy efficiency of satellite-to-ground communication systems by using multiple Reconfigurable Intelligent Surfaces (RISs) on terrestrial platforms. We explore scenarios in both ideal environments (IE), which assume no shadowing loss, and no...
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Published in | IEEE transactions on green communications and networking Vol. 8; no. 4; pp. 1985 - 1999 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Piscataway
IEEE
01.12.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 2473-2400 2473-2400 |
DOI | 10.1109/TGCN.2024.3408295 |
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Abstract | This study introduces two novel approaches to enhance the energy efficiency of satellite-to-ground communication systems by using multiple Reconfigurable Intelligent Surfaces (RISs) on terrestrial platforms. We explore scenarios in both ideal environments (IE), which assume no shadowing loss, and non-ideal environments (NIE), which consider practical environmental influences such as shadowing. In the IE scenario, energy efficiency is optimized through a dual strategy: first, by maximizing power reception through precise phase shift adjustments of each RIS element; second, by employing Selective Diversity combined with Binary Particle Swarm Optimization (BPSO) to minimize power consumption. This theoretical benchmark in the IE scenario sets the stage for the NIE scenario, where the Adaptive Moment Estimation (Adam) optimization algorithm is employed to systematically enhance energy efficiency under real-world operational conditions. Simulation results demonstrate the significant potential of the proposed methods for energy savings in satellite-RIS systems. |
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AbstractList | This study introduces two novel approaches to enhance the energy efficiency of satellite-to-ground communication systems by using multiple Reconfigurable Intelligent Surfaces (RISs) on terrestrial platforms. We explore scenarios in both ideal environments (IE), which assume no shadowing loss, and non-ideal environments (NIE), which consider practical environmental influences such as shadowing. In the IE scenario, energy efficiency is optimized through a dual strategy: first, by maximizing power reception through precise phase shift adjustments of each RIS element; second, by employing Selective Diversity combined with Binary Particle Swarm Optimization (BPSO) to minimize power consumption. This theoretical benchmark in the IE scenario sets the stage for the NIE scenario, where the Adaptive Moment Estimation (Adam) optimization algorithm is employed to systematically enhance energy efficiency under real-world operational conditions. Simulation results demonstrate the significant potential of the proposed methods for energy savings in satellite-RIS systems. |
Author | Khalil, Muhammad I. Wang, Ke Lin, Jiao |
Author_xml | – sequence: 1 givenname: Muhammad I. orcidid: 0000-0002-6743-9128 surname: Khalil fullname: Khalil, Muhammad I. email: muhammad.khalil@rmit.edu.au organization: School of Engineering, Royal Melbourne Institute of Technology University, Melbourne, VIC, Australia – sequence: 2 givenname: Jiao orcidid: 0000-0002-3943-5947 surname: Lin fullname: Lin, Jiao email: jiao.lin@rmit.edu.au organization: School of Engineering, Royal Melbourne Institute of Technology University, Melbourne, VIC, Australia – sequence: 3 givenname: Ke orcidid: 0000-0001-5788-1396 surname: Wang fullname: Wang, Ke email: ke.wang@rmit.edu.au organization: School of Engineering, Royal Melbourne Institute of Technology University, Melbourne, VIC, Australia |
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StartPage | 1985 |
SubjectTerms | Adaptive algorithms Array signal processing Communications systems Energy efficiency multiple RIS Optimization Particle swarm optimization Reconfigurable intelligent surfaces Satellite broadcasting Satellite communications satellite-to-ground communications selective diversity Shadow mapping Space-air-ground integrated networks |
Title | Improving Energy Efficiency in Satellite-to-Ground Communications With Multiple Reflecting Intelligent Surfaces |
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