Use of databases for dynamic spectrum management in cognitive satellite systems

Höyhtyä, Marko; Ylitalo, J.; Chen, Xianfu; Mämmelä, Aarne

doi:10.1016/b978-0-12-799948-7.00014-1

Cited by 6 publications

(1 citation statement)

References 39 publications

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“…Literature analysis shows that major research efforts on cognitive SATCOM sharing and interference mitigation are based on the construction and maintenance of centralized databases, where activity rules and main characteristics of primary users are stored. The key idea of a centralized database is that, before assigning a channel to a secondary user, the vacancy of the channel must be verified from the database for the duration of the targeted transmission period [ 14 ]. In the remainder of this section, we first present studies that investigated coexistence scenarios in satellite-terrestrial systems.…”

Section: Related Workmentioning

confidence: 99%

The CODYSUN Approach: A Novel Distributed Paradigm for Dynamic Spectrum Sharing in Satellite Communications

Jabandzic

Firyaguna

Giannoulis

et al. 2021

Sensors

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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.

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Section: Related Workmentioning

confidence: 99%