Advisor(s)

Mieczyslaw Kokar

Contributor(s)

Kenneth Baclawski, Kaushik Chowdhury

Date of Award

2011

Date Accepted

8-2011

Degree Grantor

Northeastern University

Degree Level

Ph.D.

Degree Name

Doctor of Philosophy

Department or Academic Unit

College of Engineering, Department of Electrical and Computer Engineering

Keywords

computer engineering, adaptation, cognitive radio, GNU radio, ontology, semantic web, software defined radio

Disciplines

Computer Engineering | Digital Communications and Networking

Abstract

Cognitive radio technology has attracted an increasing interest in academic and industrial communities. One of the motivations of cognitive radio is to enable opportunistic spectrum access through sensing the environment, detecting the underutilized spectrum at a specific time and location, and adjusting the radio's transmission parameters to conform to spectrum utilization regulations and policies. In general, cognitive radio is expected to have the capabilities to (1) sense the environment and collect information of the environment; (2) be aware of the external situation, the internal state and its own capabilities; (3) automatically adapt its parameters and optimize multiple objectives; (4) reason about communications situations, objectives and radio configurations. Some of these capabilities, such as spectrum sensing and opportunistic utilization, are currently actively pursued by various wireless research projects. The conceptual architecture that incorporates the capabilities of awareness, reasoning and adaptation has been previously considered under the name of Ontology Based Radio (OBR). This thesis presents a continuation of this line of research. In particular, this dissertation focuses on using a combined approach of ontology and policy-based control to enable collaborative adaptation of cognitive radio parameters and thus improving the link performance. First, we developed a cognitive radio ontology that covers the basic terms of wireless communications from the PHY and MAC layers. Second, we selected a use case of collaborative link adaptation. Third, we developed a set of policies that are needed for this use case. The whole framework was implemented on the USRP/GNU Radio platform. The validity, cost and benefits of the ontology and policy based approach to collaborative radio control was assessed using both Matlab simulations and the implementation on the GNU radio platform.

Document Type

Dissertation

Rights Information

copyright 2011

Rights Holder

Shujun Li


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