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

机译:基于OFDM和FBMC MIMO认知无线电系统干扰对准的最优资源分配

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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,我们介绍了一种基于干扰对准(IA)的无线电资源分配算法,用于正交频分复用(OFDM)和基于滤波器组多载波(FBMC)的MIMO认知无线电(CR)系统。该算法为所有辅助用户提供了使用IA技术同时共享可用子载波的机会。此外,它通过子载波分配每个辅助用户的电力预算,以便最大化系统的总和率,而不会导致对主要用户的过度干扰。模拟表明,基于IA的CR系统与基于频分多通道(FDMA)的CR系统相比实现了显着的总和增加。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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