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State-of-the-art spectrum auctions are designed under a primary market paradigm to conduct spectrum trading between legacy owners and large cognitive service providers. In the previous work, the authors established a spectrum secondary market based on double auctions, and showed that it significantly improves spectrum utilization and user performance by allowing secondary users to dynamically trade among themselves their channel holdings obtained in the primary market. In this paper, they devise a channel portfolio optimization framework in order for users to make intelligent trading decisions without burdensome overhead.
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