Spectrum access policy reasoning for policy-based cognitive radios

Deshpande, Amol A.; Park, Jung‐Min

doi:10.1016/j.comnet.2012.04.008

Cited by 6 publications

(2 citation statements)

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“…Bahrak and their colleagues have developed a DSA system [29,30] that used a modified Pellet reasoner for checking the consistency of ontologies and reasoning about policies and leveraged SWRL as the policy representation language. The focus of their work was on the derivation of opportunity constraints, to which end, they developed four different algorithms.…”

Section: Related Workmentioning

confidence: 99%

Towards Collaborative and Dynamic Spectrum Sharing via Interpretation of Spectrum Access Policies

et al. 2021

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This paper describes some of the challenges that need to be addressed in order to develop collaborative spectrum-sharing systems. The importance of these challenges stems from the assumption that rules for spectrum sharing can change after the deployment of radio networks and that the whole system must be able to adapt to them. To address such a requirement, we used a policy-based approach in which transmissions are controlled by a policy interpreter system, and the policies can be modified during system operation. Our primary goal was to develop a prototype of such a system. In this paper, we outline the implementation of policy interpretation, automatic generation of transmission opportunities in case a request for transmission is denied by the policy reasoner, and the generation of rendezvous channels for the synchronization of otherwise asynchronously running software-defined radios.

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Section: Related Workmentioning

confidence: 99%

Towards Collaborative and Dynamic Spectrum Sharing via Interpretation of Spectrum Access Policies

et al. 2021

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“…In [3] and [2] we introduced BRESAP, a multi-terminal binary decision diagram (MTBDD) based policy reasoner for processing spectrum access policies. BRESAP translates each constraint in every spectrum policy into a boolean expression and uses the MTBDD to organize these boolean expressions.…”

Section: Related Workmentioning

confidence: 99%

Ontology-based spectrum access policies for policy-based cognitive radios

Park

2012

2012 IEEE International Symposium on Dynamic Spectrum Access Networks

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To maximize their efficacy, cognitive radios (CRs) need to be able to cope with the constantly changing spectrum environment, evolving spectrum access policies, and a diverse array of network application requirements. Policy-based cognitive radios address these challenges by decoupling the spectrum access policies from device-specific implementations and optimizations. These radios can invoke situation-appropriate, adaptive actions based on policy specifications and the current spectrum environment. A policy-based CR has a reasoning engine called a policy reasoner. The primary task carried out by the policy reasoner is evaluating the transmission requests with respect to the spectrum policies. In this paper, we describe the design of a policy reasoner that processes ontology-based spectrum policies. The main advantage of using ontology-based policies is that the policy reasoner can understand and process any spectrum policies authored by any organization by relying on the spectrum ontologies. In our implementation, the spectrum ontology defines the various dynamic spectrum access (DSA) concepts, models the domain of DSA networks in a machine-understandable manner, and uses SWRL (Semantic Web Rule Language) rules to represent spectrum policies. Unfortunately, ontological reasoning needed to process ontology-based spectrum policies incurs greater computation overhead compared to non-ontological reasoning. This drawback can be a critical one as it can impede a CR from meeting its real-time performance requirements. We have carried out a number of experiments, using our implementation, to evaluate whether a radio controlled by ontology-based policies can meet its real-time performance requirements. Based on our experimental results, we propose a set of guidelines for the design of ontology-based spectrum access policies.

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