Advanced Satellite Communications for Engineers and Scientists

A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Astronautics & Space Science".

Deadline for manuscript submissions: 30 September 2026 | Viewed by 1254

Special Issue Editor


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Guest Editor
Department of Electrical and Computer Engineering, Concordia University, 1455 Blvd. De Maisonneuve Ouest, Montreal, QC H3G 1M8, Canada
Interests: information theory; error correcting codes; satellite communications; wireless communications

Special Issue Information

Dear Colleagues,

Satellite-based information transmission has long served as a major technology, enabling communications and broadcasting services over the past several decades. The main advantage of satellites is their extensive coverage across vast regions of the Earth. Practically, global coverage can be achieved using three geostationary satellites. This reduces the required energy, and hence, the cost of per bit transmission, which is particularly true for broadcasting services. A disadvantage of traditional satellite communication systems, particularly those using large geostationary satellites, is their high delay and power attenuation caused by their significant distance (36,000 km) from the Earth. The substantials delay hinders the use of satellite communications for delay-sensitive real-time applications. The loss in power necessitates the use of large handsets, thereby making it challenging to use satellite communications for mobile or personal communications.

There has been considerable research and proposed schemes focused on alleviating issues concerning the use of satellite communications. These include the combination of satellite and terrestrial communications to form hybrid systems, Low-Earth-Orbit (LEO) satellites, cache-aided communications, and multi-beam satellite systems.

The objective of this Special Issue will be to present some of the most advanced techniques in satellite communications and broadcasting by experts in the field for students, researchers, and engineers.

Prof. Dr. Mohammad Reza Soleymani
Guest Editor

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Keywords

  • geostationary satellites
  • low-earth-orbit satellites
  • hybrid satellite terrestrial systems
  • broadcasting satellite systems

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Published Papers (2 papers)

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Research

25 pages, 45647 KB  
Article
A Novel FEC Implementation for VSAT Terminals Using High-Level Synthesis
by Najmeh Khosroshahi, Ron Mankarious and Mohammad Reza Soleymani
Aerospace 2026, 13(2), 155; https://doi.org/10.3390/aerospace13020155 - 6 Feb 2026
Viewed by 394
Abstract
This paper presents a hardware-efficient field-programmable gate array (FPGA) implementation of a layered two-dimensional corrected normalized min-sum (2D-CNMS) decoder for quasi-cyclic low-density parity-check (QC-LDPC) codes in very small aperture terminal (VSAT) satellite communication systems. The decoder is described in C++ and synthesized using [...] Read more.
This paper presents a hardware-efficient field-programmable gate array (FPGA) implementation of a layered two-dimensional corrected normalized min-sum (2D-CNMS) decoder for quasi-cyclic low-density parity-check (QC-LDPC) codes in very small aperture terminal (VSAT) satellite communication systems. The decoder is described in C++ and synthesized using the Xilinx Vitis high-level synthesis (HLS) 2025 (AMD Xilinx, San Jose, CA, USA) tool, and then packaged and integrated as an intellectual property (IP) core within the Vivado Design Suite 2024 (AMD Xilinx, San Jose, CA, USA), enabling rapid prototyping and portability across FPGA platforms. Unlike conventional normalized min-sum (NMS) and two-dimensional normalized min-sum (2D-NMS) architectures, the proposed 2D-CNMS scheme employs dyadic, multiplier-free normalization combined with two-level magnitude correction, achieving near sum-product performance with reduced complexity and latency. The design is implemented on a Zynq UltraScale+ multiprocessor system-on-chip (MPSoC) (AMD Xilinx, San Jose, CA, USA) and supports real-time operation with a throughput of 29–41 Mbps at 100 MHz, while using only 9.6–22.4 k look-up tables (LUTs), 2.1–5.9 k flip-flops (FFs), and no digital signal processing (DSP) slices or block random-access memories (BRAMs). Bit-error-rate (BER) simulations over an additive white Gaussian noise (AWGN) channel show no error floor down to 108. These results demonstrate that the proposed HLS-based 2D-CNMS IP core provides a resource-efficient, high-performance LDPC decoding solution as compared with existing LDPC implementation approaches. This LDPC solution targets performance enhancement in wireless communication systems and has been deployed on a multi-frequency time-division multiple-access (MF-TDMA) satellite link to assess its overall behavior, demonstrating improved performance with reduced resource usage. Full article
(This article belongs to the Special Issue Advanced Satellite Communications for Engineers and Scientists)
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24 pages, 698 KB  
Article
SaRA: Sensing-Aware Random Access for Integrated Satellite-Terrestrial Networks
by Yuanke Du, Jian Zhang, Tianci Ju, Zhou Zhou and Peng Chen
Aerospace 2026, 13(2), 140; https://doi.org/10.3390/aerospace13020140 - 1 Feb 2026
Viewed by 365
Abstract
Integrated satellite-terrestrial networks are crucial for critical communications, yet the initial access for user equipment (UE) is hampered by signal blockage and dynamic loads, challenging traditional random access (RA) mechanisms in achieving low latency and high success rates. To address this, we propose [...] Read more.
Integrated satellite-terrestrial networks are crucial for critical communications, yet the initial access for user equipment (UE) is hampered by signal blockage and dynamic loads, challenging traditional random access (RA) mechanisms in achieving low latency and high success rates. To address this, we propose a Sensing-aware Random Access (SaRA) mechanism. SaRA introduces a lightweight sensing micro-slot before the standard RACH procedure, leveraging the sensing signal to jointly determine an optimal access decision threshold and a candidate beam set. This proactively filters users with poor channel conditions and narrows the beam search space. We formulate the resource allocation as a constrained optimization problem and propose a practical, low-complexity algorithm. Extensive simulations validate that SaRA provides substantial gains in access latency and system access capacity under high-load conditions compared with the standard 3GPP FR2 RACH baseline, while maintaining competitive first-attempt success probability with minimal additional overhead. Full article
(This article belongs to the Special Issue Advanced Satellite Communications for Engineers and Scientists)
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