Loading...

Game Theoretic Approaches to Resource Allocation in the Downlink of Cognitive Radio Networks

Omidvar, Naeemeh | 2011

449 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 43229 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Hossein Khalaj, Babak
  7. Abstract:
  8. In this thesis, we investigate game theoretic approaches for distributed resource allocation in the downlink of cognitive radio networks. As the problem of joint frequency and power allocation in the downlink of cognitive radio networks has not been studied using game theory, this was an incentive for us to pay attention to the downlink and try to propose decentralized and distributed approaches for resource allocation in the downlink of these networks.
    The works done in this thesis can be divided into two main parts. In the first part, we study the problem of distributed power allocation in the downlink of cognitive radio networks and using game theory techniques, we propose a non-cooperative and distributed approach for it which protects primary users while having the ability of dynamically determining and requesting the required level of service by each secondary user. Through this, the secondary users can directly take part in deciding about the level of resources allocating to them. Also we propose a pricing mechanism that provides BSs with the incentives to consume their power and make opportunistic use of the licensed frequencies. Then after expressing similarities between this scenario and Stackelberg games, we model our scenario with a Stackelberg game. It is shown that our proposed scheme can be performed distributedly in each base station, having only the local information about secondary users. Also it benefits from fast convergence as well as providing the quality of services requested by secondary users.
    In the latter part, a game theoretic approach for joint power and frequency allocation in the downlink of cellular cognitive radio networks is proposed which solves the problem in a distributed manner while having less computational complexity and less resource consumption. Comparing the proposed method with one of popular centralized methods shows that our method significantly consumes less power and also increases the capacity of the network by providing services for more secondary users
  9. Keywords:
  10. Game Theory ; Cognitive Radio ; Power Allocation ; Cellular Network ; Joint Frequency and Power Allocation

 Digital Object List

 Bookmark

No TOC