RIS Meets Aerodynamic HAPS: A Multi-Objective Optimization Approach
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2023Access:
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Arman Azizi, Arman Farhang, 'RIS Meets Aerodynamic HAPS: A Multi-Objective Optimization Approach', 2023, IEEE Wireless Communications Letters;, 12;, 11;Download Item:
Abstract:
In this letter, we propose a novel network architecture for integrating terrestrial and non-terrestrial networks
(NTNs) to establish connection between terrestrial ground stations which are unconnected due to blockage. We propose a
new network framework where reconfigurable intelligent surface
(RIS) is mounted on an aerodynamic high altitude platform
station (HAPS), referred to as aerodynamic HAPS-RIS. This
can be one of the promising candidates among non-terrestrial
RIS (NT-RIS) platforms. We formulate a mathematical model of
the cascade channel gain and time-varying effects based on the
predictable mobility of the aerodynamic HAPS-RIS. We propose
a multi-objective optimization problem for designing the RIS
phase shifts to maximize the cascade channel gain while forcing
the Doppler spread to zero, and minimizing the delay spread
upper bound. Considering an RIS reference element, we find
a closed-form solution to this optimization problem based on
the Pareto optimality of the aforementioned objective functions.
Finally, we evaluate and show the effective performance of our
proposed closed-form solution through numerical simulations.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
21/US/3757
Science Foundation Ireland (SFI)
19/FFP/7005(T)
Science Foundation Ireland (SFI)
18/CRT/6222
Science Foundation Ireland (SFI)
13/RC/2077_P2
Author's Homepage:
http://people.tcd.ie/afarhangDescription:
PUBLISHED
Author: Azizi, Arman; Farhang, Arman
Sponsor:
Science Foundation Ireland (SFI)Science Foundation Ireland (SFI)
Science Foundation Ireland (SFI)
Science Foundation Ireland (SFI)
Type of material:
Journal ArticleSeries/Report no:
IEEE Wireless Communications Letters;12;
11;
Availability:
Full text availableSubject (TCD):
Telecommunications , ELECTRONICS , Signal ProcessingDOI:
http://dx.doi.org/10.1109/lwc.2023.3296023ISSN:
2162-2337Metadata
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