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Optimal resource allocation based on interference alignment for OFDM and FBMC MIMO cognitive radio systems

机译:基于干扰对齐的OFDM和FBMC MIMO认知无线电系统的最佳资源分配

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In this paper, we present a radio resource allocation algorithm based on interference alignment (IA) for orthogonal frequency division multiplexing (OFDM) and filter bank multicarrier (FBMC) based MIMO cognitive radio (CR) systems. The algorithm provides the opportunity for all secondary users to share the available subcarriers simultaneously using IA technique. Besides, it allocates the power budget of each secondary user over the subcarriers in order to maximize the sum-rate of the system without inducing excessive interference to primary users. Simulations show that CR systems based on IA achieves a significant sum-rate increase compared to CR systems based on frequency division multiple access (FDMA). Moreover, IA based CR using FBMC physical layer achieves considerable throughput improvement compared to OFDM physical layer.
机译:在本文中,我们提出了一种基于干扰对齐(IA)的无线电资源分配算法,用于基于正交频分复用(OFDM)和基于滤波器组多载波(FBMC)的MIMO认知无线电(CR)系统。该算法为所有次要用户提供了使用IA技术同时共享可用子载波的机会。此外,它在子载波上分配每个次要用户的功率预算,以使系统的总速率最大化,而不会引起对主要用户的过度干扰。仿真表明,与基于频分多址(FDMA)的CR系统相比,基于IA的CR系统实现了显着的总速率增加。此外,与OFDM物理层相比,使用FBMC物理层的基于IA的CR实现了相当大的吞吐量改进。

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