针对认知无线网络中的动态频谱分配问题,引入双边市场模型,提出了基于集合竞价置换的双向动态频谱分配算法(SBPA,set bid permutation algorithm)。该算法考虑认知用户的个体理性,将拍卖参与双方之间的博弈抽象为认知用户之间的博弈。在频谱拍卖过程中,每个认知用户独立竞价,代理商划分认知用户集合并根据认知用户的集合竞价、拍卖双方的真实出价以及拍卖双方的赢家对频谱进行分配。仿真结果表明,该算法能够显著地提高拍卖成交率和拍卖收益,并具有较优的β-竞争性。
Aiming at the problems of dynamic spectrum allocation in cognitive radio networks, by establishing bi-lateral market model, a double dynamic spectrum allocation algorithm based on set bid permutation is proposed.Taking the individual rationality of the participants into account, this algorithm abstracts the game between twoparties of the auction as the game between cognitive users. In the process of the auction, each cognitive user bidsindependently, and the auctioneer then divides the cognitive users set and distributes the spectrum according tocognitive users set bids, the real payments and the winners of two parties. Simulation illustrates great improvementof transaction rate, revenue and preferable β-competitiveness.