A Dynamic Wireless Spectrum Allocation Algorithm for Sliding Scheduled Demands
Spectrum management in cognitive radio is one of the most challenging issues and has attracted much research attentions in recent years. However most of the existing works consider either online demands or scheduled demands, which may not fully capture the flexible nature of the demands in certain circumstances, such as the communication demands for asynchronized sensing data transmission in wireless sensor networks which may not require the wireless channels be assigned in a pre-specified time point and could instead be provisioned in a flexible time range. Sliding scheduled traffic model, which allows the starting time of the service provisioning for a demand to slide in a pre-specified time window, instead of a time point, fits in well. Based on this observation, we propose in this paper to model the wireless channel demands for communication with sliding scheduled traffic model to improve the utilization ratio. We presents a mixed integer linear program (MILP) formulation as well as an efficient heuristic algorithm for this optimization problem. Numeric results show that adopting sliding scheduled demand model significantly improves the utilization ratio of wireless channels in dynamic wireless spectrum allocation.
sliding scheduled traffic model dynamic spectrum allocation cognitive radio
Xubin Luo Jie Ma Qing Li Jiafen Liu
School of Economic Information Engineering Southwestern University of Finance and Economics Chengdu, China
国际会议
成都
英文
387-390
2010-10-23(万方平台首次上网日期,不代表论文的发表时间)