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Robust power allocation for orthogonal frequency division multiplexing-based overlay/underlay cognitive radio network under spectrum sensing errors and channel uncertainties

机译:频谱感知误差和信道不确定性下基于正交频分复用的覆盖/底层认知无线电网络的鲁棒功率分配

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摘要

In this study, a robust power allocation scheme with orthogonal frequency division multiplexing-based cognitive radio network is proposed to maximise total data transmission rate subject to interference power constraint of primary user (PU) and transmit power budget constraint of secondary user where channel uncertainties and spectrum sensing errors are simultaneously considered. The authors first formulate the interference model by taking the imperfect spectrum sensing into account, then the channel state information errors are considered and assumed to be bounded with ellipsoidal and interval sets to establish robust resource allocation problem. On the basis of the worst-case approach and Lagrange dual decomposition method, the original optimisation problem is converted into a convex one and solved. Simulation results show the robustness of their proposed scheme and the trade-off performance with a sub-optimal data transmission rate, but better protection of PU.
机译:在这项研究中,提出了一种鲁棒的基于正交频分复用的认知无线电网络的功率分配方案,该方案可在受到主要用户(PU)干扰功率约束和次要用户发射功率预算约束的情况下最大化总数据传输速率,其中信道不确定和同时考虑频谱感测误差。作者首先通过考虑不完善的频谱感知来制定干扰模型,然后考虑并假设信道状态信息误差以椭圆和间隔集为界,以建立鲁棒的资源分配问题。在最坏情况方法和拉格朗日对偶分解方法的基础上,将原来的优化问题转化为凸问题并加以解决。仿真结果表明,所提出方案的鲁棒性和折衷性能与次优数据传输速率有关,但对PU的保护效果更好。

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