A Prediction-Based Proactive Channel Selection Algorithm in Wireless Cognitive Networks
Opportunity-based spectrum access mechanism employed in cognitive radio Ad-hoc networks is widely acknowledged as an efficient way to bridge the gap between ever-increasing spectrum demands and limited spectrum resource. Due to disruptive nature or primary users service, it is hardly possible to secure an available channel. In order to find a better channel among these unreliable channels, a proactive channel selection algorithm is proposed in this work, which avoids using Common Control Channel. According to the historical characteristic of primary spectrum usage, the proposed algorithm defines a metric to estimate the probability and remaining time of each channel. In order to further suppress the collision probability, all the channels are sorted in a descending order, which guarantees the most reliable channel firstly selected. Simulation results show that, compared with naive random spectrum access, the proposed prediction-based channel access method gives better performance in terms of throughput of cognitive users and collision probability with primary users.
cognitve networks proative channel selection alternative renewal process collision rate
Sun Wujian Liu Yang Li Ou Li Caiping
Zhengzhou Information Science and Technology Institute Zhengzhou, China Zhong Zhou University Zhengzhou, China
国际会议
成都
英文
1198-1201
2010-12-17（万方平台首次上网日期，不代表论文的发表时间）