An Auction Framework for Spectrum Management in Cognitive Radio Networks
Date Issued
2011
Date
2011
Author(s)
Chang, Yi-Kuei
Abstract
The cognitive radio(CR) is proposed to utilize the unused bandwidth of primary radio network(PRN) where the authorized users(called primary users, PU) have the priority to transmit. Once when the cognitive users are allowed to transmit their traffic, it is inevitable to interfere the PU due to the collision. Though many channel detection algorithms have been proposed, however, the phenomena can not be eliminated. The incentive policies are usually to deploy so as to compensate the PU but to increase the difficulty of resource management. In order to realize the CR concept, the Cognitive Radio Base Stations(CR-BS), classified as the PU, have usually been assigned to manage the channels which allow CR users access the network. In this thesis we study the access control policy with variety performance indicators such as capacity and revenue under the QoS constraint. The auction algorithms are adopted to analyze the performance. In our study, the system is composed by regular PU, CR-BS, and CRs. The once when CR-BS detect that there are free channels, it inform the CR about the opportunity of access into the free channel. This auction-based control policy can be used to determine the permission of rejection of access requests from CR by control policy, capacity or revenue. The channel characteristics such as noise, interference, and threshold of receiving power intensity are also taken into consideration. Since the auction mechanism follows the concepts described in non-cooperative game theory, the primary assumptions for user behaviors such as the selfish and seeking the minimum cost and maximum profit or capacity are derived in the analysis. Variety performance indicators are used to evaluate those control algorithms under these assumptions. The main contributions for our study are to study those performance indicators including channel capacity and revenue with different access control algorithms by the using of auction theory. The optimization between the system capacity and revenue is also addressed in this paper.
Subjects
Game theory
spectrum management
cognitive radio network
auction theory
revenue optimization
Type
thesis
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