Power Allocation for Reliable and Energy-Efficient Optical LEO-to-Ground Downlinks with Hybrid ARQ Schemes

Satellites in low earth orbit (LEO) are currently being deployed for numerous communication, positioning, space and Earth-imaging missions. To provide higher data rates in direct-to-user links and earth observation downlinks, the free-space optics technology can be employed for LEO-to-ground downlin...

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Main Authors: Theodore T. Kapsis, Athanasios D. Panagopoulos
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Photonics
Subjects:
Online Access:https://www.mdpi.com/2304-6732/9/2/92
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author Theodore T. Kapsis
Athanasios D. Panagopoulos
author_facet Theodore T. Kapsis
Athanasios D. Panagopoulos
author_sort Theodore T. Kapsis
collection DOAJ
description Satellites in low earth orbit (LEO) are currently being deployed for numerous communication, positioning, space and Earth-imaging missions. To provide higher data rates in direct-to-user links and earth observation downlinks, the free-space optics technology can be employed for LEO-to-ground downlinks. Moreover, the hybrid automatic repeat request (HARQ) can be adopted since the propagation latency is low for LEO satellites. In this work, a power allocation methodology is proposed for optical LEO-to-ground downlinks under weak turbulence employing HARQ retransmission schemes. Specifically, the average power consumption is minimized given a maximum transmitted power constraint and a target outage probability threshold to ensure energy efficiency and reliability, respectively. The optimization problem is formulated as a constrained nonlinear programming problem and solved for Type I HARQ, chase combining (CC) and incremental redundancy (IR) schemes. The solutions are derived numerically via iterative algorithms, namely interior-point (IP) and sequential quadratic programming (SQP), and validated through an exhaustive (brute-force) search. The numerical simulations provide insight into the performance of the retransmission schemes regarding average power. More specifically, Type I HARQ has the worst output, CC has a moderate one, and IR exhibits the best performance. Finally, the IP algorithm is a slower but more accurate solver, and SQP is faster but slightly less accurate.
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spelling doaj.art-d20f1a1413a54b44b4da88cdd4dbb15e2023-11-23T21:41:21ZengMDPI AGPhotonics2304-67322022-02-01929210.3390/photonics9020092Power Allocation for Reliable and Energy-Efficient Optical LEO-to-Ground Downlinks with Hybrid ARQ SchemesTheodore T. Kapsis0Athanasios D. Panagopoulos1School of Electrical and Computer Engineering, National Technical University of Athens, GR-15780 Athens, GreeceSchool of Electrical and Computer Engineering, National Technical University of Athens, GR-15780 Athens, GreeceSatellites in low earth orbit (LEO) are currently being deployed for numerous communication, positioning, space and Earth-imaging missions. To provide higher data rates in direct-to-user links and earth observation downlinks, the free-space optics technology can be employed for LEO-to-ground downlinks. Moreover, the hybrid automatic repeat request (HARQ) can be adopted since the propagation latency is low for LEO satellites. In this work, a power allocation methodology is proposed for optical LEO-to-ground downlinks under weak turbulence employing HARQ retransmission schemes. Specifically, the average power consumption is minimized given a maximum transmitted power constraint and a target outage probability threshold to ensure energy efficiency and reliability, respectively. The optimization problem is formulated as a constrained nonlinear programming problem and solved for Type I HARQ, chase combining (CC) and incremental redundancy (IR) schemes. The solutions are derived numerically via iterative algorithms, namely interior-point (IP) and sequential quadratic programming (SQP), and validated through an exhaustive (brute-force) search. The numerical simulations provide insight into the performance of the retransmission schemes regarding average power. More specifically, Type I HARQ has the worst output, CC has a moderate one, and IR exhibits the best performance. Finally, the IP algorithm is a slower but more accurate solver, and SQP is faster but slightly less accurate.https://www.mdpi.com/2304-6732/9/2/92free-space opticslow earth orbit satellitepower allocationhybrid automatic repeat requestweak turbulencechase combining
spellingShingle Theodore T. Kapsis
Athanasios D. Panagopoulos
Power Allocation for Reliable and Energy-Efficient Optical LEO-to-Ground Downlinks with Hybrid ARQ Schemes
Photonics
free-space optics
low earth orbit satellite
power allocation
hybrid automatic repeat request
weak turbulence
chase combining
title Power Allocation for Reliable and Energy-Efficient Optical LEO-to-Ground Downlinks with Hybrid ARQ Schemes
title_full Power Allocation for Reliable and Energy-Efficient Optical LEO-to-Ground Downlinks with Hybrid ARQ Schemes
title_fullStr Power Allocation for Reliable and Energy-Efficient Optical LEO-to-Ground Downlinks with Hybrid ARQ Schemes
title_full_unstemmed Power Allocation for Reliable and Energy-Efficient Optical LEO-to-Ground Downlinks with Hybrid ARQ Schemes
title_short Power Allocation for Reliable and Energy-Efficient Optical LEO-to-Ground Downlinks with Hybrid ARQ Schemes
title_sort power allocation for reliable and energy efficient optical leo to ground downlinks with hybrid arq schemes
topic free-space optics
low earth orbit satellite
power allocation
hybrid automatic repeat request
weak turbulence
chase combining
url https://www.mdpi.com/2304-6732/9/2/92
work_keys_str_mv AT theodoretkapsis powerallocationforreliableandenergyefficientopticalleotogrounddownlinkswithhybridarqschemes
AT athanasiosdpanagopoulos powerallocationforreliableandenergyefficientopticalleotogrounddownlinkswithhybridarqschemes