Auction-based spectrum allocation with a dirichlet process-based learning algorithm

被引：0
作者：
Liu, Juefu [1 ]
Yang, Jiang [1 ]
Hu, Jing [1 ]
Zhu, Binghu [1 ]
Wang, Jianxu [1 ]
机构：
[1] School of Information Engineering, East China Jiaotong University, Nanchang
来源：
Journal of Computational Information Systems | 2015年 / 11卷 / 17期
关键词：
Auction Model; Dirichlet Process; Spectrum Allocation; VCG Mechanism;
D O I：
10.12733/jcis15495
中图分类号：
学科分类号：
摘要：
In this work, we investigate spectrum allocation for cognitive radio network (CRN), which consists of an auctioneer and a number of cognitive radios (CRs). The CRs are competing for frequency bands to transmit its data. We design auction mechanisms and utility functions based on the total achieved capacity per unit price. For the purpose of making CRs bid more efficiently, a Dirichlet process-based learning algorithm is proposed. It can take CR's request for communication quality into consideration and makes use of the outcomes of the past auctions to learn the bidding behavior of the competing CRs. Simulation results show that the utility of CRs is further enhanced based on the proposed learning algorithm. © 2015, by Binary Information Press
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页码：6429 / 6438
页数：9
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