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

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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On Using Multiagent Systems for Spectrum Sharing in Cognitive Radios Networks

Formal and Practical Aspects of Autonomic Computing and Networking ◽

10.4018/978-1-60960-845-3.ch013 ◽

2011 ◽

pp. 377-415 ◽

Cited By ~ 1

Author(s):

Usama Mir ◽

Leila Merghem-Boulahia ◽

Dominique Gaïti

Keyword(s):

Multiagent Systems ◽

Spectrum Sharing ◽

Multiagent System ◽

Cognitive Radios ◽

Dynamic Spectrum ◽

Spectrum Allocation ◽

Wireless Devices ◽

Spectrum Utilization ◽

Dynamic Spectrum Sharing ◽

Theoretical Approaches

In modern day wireless networks, spectrum utilization and allocation are static. Generally, static spectrum allocation is not a feasible solution considering the distributed nature of wireless devices, thus some alternatives must be ensured in order to allocate spectrum dynamically and to mitigate the current spectrum scarcity. An effective solution to this problem is cognitive radio (CR), which seeks the empty spectrum portions and shares them with the neighboring devices. The CR devices can utilize the available spectrum more efficiently if they try to work together. Therefore, in this work, we review a number of dynamic spectrum allocation techniques, especially those using multiagent systems and game-theoretical approaches, and investigate their applicability to CR networks. The distributed nature of these two domains makes them suitable for CR networks. In fact, the idea of dynamic spectrum sharing using these techniques is not entirely new and several interesting approaches already exist in literature. Thus, in our study we try to focus on existing spectrum sharing literature and cooperative multiagent system for CR networks. We are particularly interested in showing how the distributed nature of multiagent system can be combined with cognitive radios in order to alleviate the current static spectrum usage as well as maintaining cooperation amongst the CR nodes. Moreover, our work includes the description of various scenarios in which spectrum sharing is an essential factor and hence must be performed in a dynamic and opportunistic manner. We also explain the working of our proposed spectrum allocation approach using multiagent system cooperation in one of these scenarios and verify its formal behavior using Petri net modeling.

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