With a constant increase in the number of deployed satellites, it is expected that the current fixed spectrum allocation in satellite communications (SATCOM) will migrate towards more dynamic and flexible spectrum sharing rules. This migration is accelerated due to the introduction of new terrestrial services in bands used by satellite services. Therefore, it is important to design dynamic spectrum sharing (DSS) solutions that can maximize spectrum utilization and support coexistence between a high number of satellite and terrestrial networks operating in the same spectrum bands. Several DSS solutions for SATCOM exist, however, they are mainly centralized solutions and might lead to scalability issues with increasing satellite density. This paper describes two distributed DSS techniques for efficient spectrum sharing across multiple satellite systems (geostationary and non-geostationary satellites with earth stations in motion) and terrestrial networks, with a focus on increasing spectrum utilization and minimizing the impact of interference between satellite and terrestrial segments. Two relevant SATCOM use cases have been selected for dynamic spectrum sharing: the opportunistic sharing of satellite and terrestrial systems in (i) downlink Ka-band and (ii) uplink Ka-band. For the two selected use cases, the performance of proposed DSS techniques has been analyzed and compared to static spectrum allocation. Notable performance gains have been obtained.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659579PMC
http://dx.doi.org/10.3390/s21238052DOI Listing

Publication Analysis

Top Keywords

spectrum sharing
20
dynamic spectrum
12
satellite terrestrial
12
spectrum
10
satellite
8
sharing satellite
8
satellite communications
8
spectrum allocation
8
dss solutions
8
spectrum utilization
8

Similar Publications

Unlabelled: The RASopathies are a group of disorders resulting from a germline variant in the genes encoding the Ras/mitogen-activated protein kinase pathway. These disorders include Noonan syndrome (NS), cardiofaciocutaneous syndrome (CFC), Costello syndrome (CS), Legius syndrome (LS), and neurofibromatosis type 1 (NF1), and have overlapping clinical features due to RAS/MAPK dysfunction. In this study, we aimed to describe the clinical and molecular features of patients exhibiting phenotypic manifestations consistent with RASopathies.

View Article and Find Full Text PDF

Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction.

J Am Med Inform Assoc

December 2024

Statistical Modeling, Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riβ 88400, Germany.

Background: Machine learning and deep learning are powerful tools for analyzing electronic health records (EHRs) in healthcare research. Although family health history has been recognized as a major predictor for a wide spectrum of diseases, research has so far adopted a limited view of family relations, essentially treating patients as independent samples in the analysis.

Methods: To address this gap, we present ALIGATEHR, which models inferred family relations in a graph attention network augmented with an attention-based medical ontology representation, thus accounting for the complex influence of genetics, shared environmental exposures, and disease dependencies.

View Article and Find Full Text PDF

Background: Although biological plausibility suggests that fluoroquinolones could lead to rhegmatogenous retinal detachment (RRD) through collagen degradation, real-world evidence on their relative risk of RRD is inconsistent, with limited information on absolute risk estimates.

Objective: The study aimed to estimate the RRD risk associated with fluoroquinolones versus other antibiotics with similar indications (i.e.

View Article and Find Full Text PDF

Many academic pediatric centers care for children with medical complexity (CMC) through established complex care and palliative care programs. There are little prior data investigating best practices for collaboration between these two subspecialties in caring for CMC. The aim of this study is to explore the distinct and overlapping roles and responsibilities of pediatric complex care and palliative care teams as identified by providers when caring for a shared population of CMC and their families.

View Article and Find Full Text PDF

β-lactams have been the most successful antibiotics, but the rise of multi-drug resistant (MDR) bacteria threatens their effectiveness. Serine β-lactamases (SBLs), among the most common causes of resistance, are classified as A, C, and D, with numerous variants complicating structural and substrate spectrum comparisons. This study compares representative SBLs of these classes, focusing on the substrate-binding pocket (SBP).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!