OFDMA 认知无线电信道不确定性条件下的资源分配我要分享

Resource Allocation for OFDMA Cognitive Radios Und

matlab

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中文说明:最优的宽带频谱感知方法框架用于标识继发性传播机会过多本文提出了一种不重叠的窄带信道。的被称为多波段遥感时间自适应的框架联合检测,提高了整体二手用户性能虽然保护主要网络和保持所需的低水平以下的有害干扰。考虑到定期的传感方案,检测问题表述为联合优化问题,以最大限度地实现聚合二级吞吐能力给出了骨料的绑定干扰强加给主网络。它被证明可以利用凸优化技术解决问题,如果某些实际限制应用。仿真结果证明,拟议的宽带光谱遥感框架实现上级性能相比,当代的框架。一个有效解决了优化问题的迭代算法与更低的复杂性相比,其他数值方法提出了。它建立,算法的迭代复杂性和该算法的每个迭代复杂性增加线性作为优化变量 (即,人数的数目窄带信道) 的增加。该算法进行了评价通过模拟和显示,取得最优解的很快速高效。


English Description:

An optimal wideband spectrum sensing frameworkwhich identifies secondary transmission opportunities over multiplenonoverlapping narrowband channels is presented. Theframework, which is referred to as multiband sensing-time-adaptivejoint detection, improves the overall secondary user performancewhile protecting the primary network and keeping theharmful interference below a desired low level. Considering aperiodic sensing scheme, the detection problem is formulated as ajoint optimization problem to maximize the aggregate achievablesecondary throughput capacity given a bound on the aggregateinterference imposed on the primary network. It is demonstratedthat the problem can be solved by convex optimization if certainpractical constraints are applied. Simulation results attest thatthe proposed wideband spectrum sensing framework achieves superiorperformance compared to contemporary frameworks. Aneffic


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