Channel Characteristic Aware Spectrum Aggregation Algorithm in Cognitive Radio Networks

被引:0
|
作者
Lin, Jintao [1 ]
Shen, Lianfeng [1 ]
Bao, Nan [1 ]
Su, Bailong [1 ]
Deng, Zhipeng [1 ]
Wang, Dayang [1 ]
机构
[1] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing, Peoples R China
关键词
adaptive modulation and coding; cognitive radio; discontinuous OFDM; spectrum aggregation;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In Cognitive Radio (CR) networks, it is common that the spectrum holes are too narrow to support high-speed communications. Discontinuous Orthogonal Frequency Division Multiplexing (DOFDM) is a good way for a secondary user to access several spectrum fragments simultaneously with one Radio Front (RF). In this paper, a novel Channel Characteristic Aware Spectrum Aggregation (CCASA) algorithm which uses DOFDM to aggregation spectrum fragments with only one radio front is proposed in order to increase the overall throughput of a CR network. By combining Adaptive Modulation and Coding (AMC) and spectrum aggregation, the good subcarriers are assigned to the specific secondary users in CCASA algorithm thus achieving a better channel efficiency. Different bandwidth requirement and aggregation limitation of secondary users are both considered in this algorithm while maintaining a fairly low computational complexity. The simulation results show that CCASA achieves a bigger total throughput than existing aggregation algorithms.
引用
收藏
页码:634 / 639
页数:6
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