Abstract:
Dynamic spectrum access based on cognitive radio has been regarded as a prospective
solution to improve spectrum utilization for wireless communications. By considering
the allocation efficiency, fairness, and economic incentives, spectrum marketing has been
attracting more and more attentions in recent years. In this thesis, we focus on one of
the most effective spectrum marketing methods, i.e., auction approach, in multi-channel
cognitive radio networks. After presenting some fundamentals and related works, we
begin our discussion in a recall-based auction system where buyers have various service
requirements and the seller could recall some sold items after the auction to deal with
a sudden increase of its own demand. Both single-winner and multi-winner auctions
are designed and analyzed. In addition, we also consider the heterogeneity of radio
resource sellers and formulate a framework of combinatorial spectrum auction. With
theoretical analyses and simulation results, we show that our proposed algorithms can
improve spectrum utilization while satisfy the heterogeneous requirements of different
wireless users.
