Channel Selection Through A Recommender System

摘要：

Spectrum sharing between a cognitive network and a coexisting interfering network is considered. Among a collection of channels, in each time slot, each node in the cognitive network selects one channel based upon partial knowledge of the interference levels over these channels. The process of channel selection is treated as a recommender system, due to the similarity of recommending multiple items for multiple buyers and selecting multiple channels for multiple nodes. A modified collaborative filtering algorithm is proposed to perform prediction for the interference levels which would be suffered at receive nodes. Numerical experiments are presented to reveal the behavior of the proposed algorithm.

作者: Huanhuan Sun Yi Zhong Wenyi Zhang

作者单位: Department of Electronic Engineering and Information Science University of Science and Technology of China Hefei 230027, China

会议类型: 国际会议

会议名称: 2010年无线通信与信号处理国际会议

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）