Asymptotic Performance of Uplink Resource Allocation for OFDMA-based Cognitive Radio Networks

摘要：

Cognitive radio and OFDMA attracts a lot of attentions in academic and industry fields. In this paper, the asymptotic performance of an uplink radio resource allocation scheme is investigated for OFDMA-based cognitive radio networks. Considering the characteristics of cognitive radio and OFDMA, in the uplink subcarrier allocation algorithm, the subcarriers are allocated to the users with the best channel quality initially and then adjusted to improve the system performance. A cursory water-filling level estimation method is used to decrease the complexity of the algorithm. To investigate the effect of the rough estimation. By strict theoretic deduction, a lower bound of the stability of the water-filling level estimation is given in this paper. The bound is obtained through analyzing the state transition.1

作者: Tao Peng Wei Wang Qianxi Lu Wenbo Wang

作者单位: Wireless Signal Processing and Network Lab,Key Laboratory of Universal Wireless Communication,Ministry of Education Beijing University of Posts and Telecommunications,Beijing 100876,P.R.China

会议类型: 国际会议

会议名称: The 11th IEEE International Conference on Communications Systems(第11届电子和电气工程师协会国际通信系统会议)(IEEE ICCS 2008)

会议地点: 广州

会议语种:英文

在线出版日期: 2008-11-19（万方平台首次上网日期，不代表论文的发表时间）