关键词: 协作频谱预测, 基于分组的协作频谱预测, 认知无线网络, 数据融合门限

Abstract: This paper designs the cooperative spectrum prediction strategy in multiple Primary Users（PU） and multiple Secondary Users（SU） Cognitive Radio Network（CRN）. The problem of cooperative spectrum prediction strategy is formulated as an optimization problem. The objective of this problem is maximize the throughput of the whole CRN, the number of SU that participating the cooperation and the fusion threshold are the optimization parameters. An exhaustive searching algorithm is proposed to solve this problem. This paper is the first work to study the design of cooperative spectrum prediction strategy. This paper further proposes the group-based cooperative spectrum prediction strategy and design the frame structure accordingly. Simulation results show that the proposed group-based cooperative spectrum prediction achieves higher throughput while consumes less energy in cooperation, when meet the requirement of the probability of miss detection. The efficiency is improved under the group-based cooperative spectrum prediction.

Key words: cooperation spectrum prediction, group-based cooperative spectrum prediction, cognitive radio network, fusion threshold