Abstract: In order to solve the problem that primary multiband joint detection framework has not considered the performance impact of the detection cycle to cognitive networks, this paper presents a new framework related to the activity of primary users. The problem is modeled as a nonconvex optimization problem with the constraint of interference to the licensed users and miss, false alarm probability. Sensing period, sensing time and sensing threshold can be jointly optimized to maximum the throughput of cognitive system. This model is solved though bilevel optimization. The numerical analysis results show that better tradeoff has been got between throughput and protection of primary users after brings in the activity of primary users and guarantees the certain interference under limited.

Key words: spectrum sensing, sensing period, primary activity, convex optimize

摘要： 针对以往的多带联合优化模型没有考虑检测周期对认知网络性能影响问题，提出了一种新的基于主用户活跃性的多带联合优化模型，将问题建模为干扰量、虚警和漏检概率等约束条件的非凸优问题，以最大化机会接入吞吐量为目标联合优化检测周期、感知时间和判决门限，并通过分层优化方法对其进行求解。数值分析表明，引入主用户活跃性影响后，在满足上述约束条件的同时，在保护主用户和机会接入吞吐量之间有了更好的权衡。

关键词: 频谱感知, 检测周期, 主用户活跃性, 凸优化