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.

Keywords

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

Opportunity ID

The opportunity ID for this research opportunity is: 1038

Other opportunities with Professor Yonghui Li

• Dynamic spectrum access for wireless multi-hop cognitive radio networks
• Cooperative communications for future wireless networks
• Distributed network channel coding for wireless sensor networks
• Signal Processing and Disease Diagnosis in Traditional Chinese Medicine (TCM)
• Millimeter Wave Gigabit Wireless Network Design for 5th Generation (5G) Communications
• Physical Layer Security
• Demand Side Management in Future Smart Grid: Control, Communication, and Security
• Discovering DNA sequences based on error control codes
• Large-scale Machine-to-Machine Communications Networks
• Physical-layer Rateless Codes for Wireless Channels
• Interference Cancellation in Co-working WLANs
• Iterative channel estimation for high mobility MIMO-OFDM systems
• Design of Novel Channel Coding Techniques for Short Packet Transmission in Massive Internet of Things
• Channel Code Design in Short Block Length Regime: Capacity Analysis and Code Design

Other opportunities with Professor Branka Vucetic

• Interference Cancellation in Co-working WLANs
• Precoded multiuser MIMO and packet scheduling
• Cooperative transmission in MIMO relay broadcast channels
• Iterative channel estimation for high mobility MIMO-OFDM systems
• Dynamic spectrum access for wireless multi-hop cognitive radio networks
• Cooperative communications for future wireless networks
• Distributed network channel coding for wireless sensor networks
• Signal Processing and Disease Diagnosis in Traditional Chinese Medicine (TCM)
• Millimeter Wave Gigabit Wireless Network Design for 5th Generation (5G) Communications
• Physical Layer Security
• Demand Side Management in Future Smart Grid: Control, Communication, and Security
• Discovering DNA sequences based on error control codes
• Large-scale Machine-to-Machine Communications Networks
• Physical-layer Rateless Codes for Wireless Channels
• Design of Network Coding Schemes for Next Generation of Wireless Cellular Systems
• Non-orthogonal multiple access for massive Internet of Things
• Design of Novel Channel Coding Techniques for Short Packet Transmission in Massive Internet of Things
• Channel Code Design in Short Block Length Regime: Capacity Analysis and Code Design