Game theory based transmission strategies for cognitive radio

Summary

It has been recognized by radio regulatory bodies that the exclusive use of spectrum to licensed users is highly efficient. This is due to the high variability of traffic statistics over time, space and frequency, which means that often, a significant proportion of spectrum is unused. Cognitive radios offer a possible solution, whereby these radio nodes are allowed to transmit when the licensed users are not transmitting. This has the potential to lead to a high efficient use of the spectrum. However, there remain a number of potential problems which need to be overcome before cognitive radios are viable. One of the more significant problems is the design of transmission strategies between cognitive radio nodes without causing significant interference to the licensed users.

In this project, we address this issue by utilizing tools from game theory. In particular, we will design transmission strategies for transmitter-receiver cognitive radio pairs, which communicate with each other whilst causing acceptable levels of interference to the licensed users. We first consider non-cooperative scenarios, where the cognitive radios choose transmission strategies without any consideration of the other cognitive radio users. We will derive the optimal stable operating point, or Nash equilibria, for this scenario. We also consider cooperative scenarios, where the cognitive radios may interact with each other to choose their transmission strategies.

Supervisor(s)

Professor Yonghui Li, Professor Branka Vucetic

Research Location

Electrical and Information Engineering

Program Type

PHD

Synopsis

It has been recognized by radio regulatory bodies that the exclusive use of spectrum to licensed users is highly efficient. This is due to the high variability of traffic statistics over time, space and frequency, which means that often, a significant proportion of spectrum is unused. Cognitive radios offer a possible solution, whereby these radio nodes are allowed to transmit when the licensed users are not transmitting. This has the potential to lead to a high efficient use of the spectrum. However, there remain a number of potential problems which need to be overcome before cognitive radios are viable. One of the more significant problems is the design of transmission strategies between cognitive radio nodes without causing significant interference to the licensed users.

In this project, we address this issue by utilizing tools from game theory. In particular, we will design transmission strategies for transmitter-receiver cognitive radio pairs, which communicate with each other whilst causing acceptable levels of interference to the licensed users. We first consider non-cooperative scenarios, where the cognitive radios choose transmission strategies without any consideration of the other cognitive radio users. We will derive the optimal stable operating point, or Nash equilibria, for this scenario. We also consider cooperative scenarios, where the cognitive radios may interact with each other to choose their transmission strategies.

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Keywords

game theory, Cognitive radio, Dynamic Spectrum Access, resource allocation, Cross Layer Optimization

Opportunity ID

The opportunity ID for this research opportunity is: 1038

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