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Interference alignment precoder design on Grassmann manifold for cellular system

机译:蜂窝系统格拉斯曼流形上的干扰对准预编码器设计

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In this paper, we focus on the interference alignment precoder design for cellular system. Varying from the traditional constrained optimization method, we reformulate the optimization problem on the complex Grassmann manifold and derive a novel steepest descent algorithm to achieve perfect interference alignment. Moreover our proposed algorithm only requires the participation of transmitter. Thus it will alleviate the overhead induced by alternating between the up and down links significantly. Simulation results suggest the proposed algorithm has better convergence performance and higher system capacity comparing with previous methods.
机译:在本文中,我们专注于蜂窝系统的干扰对准预编码器设计。与传统的约束优化方法不同,我们在复杂的格拉斯曼流形上重新构造了优化问题,并推导了一种新颖的最速下降算法以实现完美的干扰对准。此外,我们提出的算法仅需要发射机的参与。因此,它将大大减轻由上行链路和下行链路之间的交替引起的开销。仿真结果表明,与现有方法相比,该算法具有更好的收敛性能和更高的系统容量。

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