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Secure beamforming with nonorthogonal multiple access transmission in cooperative CR networks for Internet of Things

机译:用非正交多访问传输安全波束成形,以便与互联网的协作CR网络中的

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In this paper, secure beamforming design in cooperative cognitive radio networks for Internet of Things (IoT) is investigated, where we maximize the secrecy sum rate for the IoT devices (IoDs) to protect their communication and employ the nonorthogonal multiple access scheme at the cognitive access point (AP) to serve the cognitive users. The formulated secure beamforming optimization problem is a non-convex problem and its global optimal solution is very hard to find. To overcome this difficulty, we propose an iterative algorithm based on semidefinite programming and monotonic optimization method to obtain the global optimal solution, which has high computational complexity and is suitable for the case that the cognitive AP has a powerful computing ability. For some application scenarios in which the cognitive AP has a lower computing ability, we propose suboptimal solutions based on zero-forcing scheme, which have much lower computational complexity. Furthermore, we derive the limit value of the secrecy sum rate for the IoDs when the transmit power of the cognitive AP goes to infinity, which can serve as an upper bound for our proposed solutions. Numerical results are also provided to verify the effectiveness of our proposed solutions.
机译:在本文中,研究了用于物联网(物联网)的协同认知无线电网络中的安全波束成形设计,在那里我们最大限度地提高物联网设备(IOD)的保密量率来保护它们的通信并在认知处采用非正交多访问方案接入点(AP)为认知用户提供服务。配制的安全波束形成优化问题是非凸面问题,其全球最佳解决方案很难找到。为了克服这种困难,我们提出了一种基于SEMIDEFINITE编程和单调优化方法的迭代算法,以获得具有高计算复杂性的全局最优解,并且适用于认知AP具有强大的计算能力的情况。对于某些认知AP具有较低计算能力的应用方案,我们提出了基于零强制方案的次优溶液,其计算复杂性更低。此外,当认知AP的传输功率进入无限远时,我们可以派生IOD的保密总和率的限制值,这可以用作我们所提出的解决方案的上限。还提供了数值结果来验证我们提出的解决方案的有效性。

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