Interference shaping constraints for underlay MIMO interference channels

C. Lameiro, I. Santamaría, W. Utschick
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引用次数: 4

Abstract

In this paper, a cognitive radio (CR) scenario comprised of a secondary interference channel (IC) and a primary point-to-point link (PPL) is studied, when the former interferes the latter. In order to satisfy a given rate requirement at the PPL, typical approaches impose an interference temperature constraint (IT). When the PPL transmits multiple streams, however, the spatial structure of the interference comes into play. In such cases, we show that spatial interference shaping constraints can provide higher sum-rate performance to the IC while ensuring the required rate at the PPL. Then, we extend the interference leakage minimization algorithm (MinIL) to incorporate such constraints. An additional power control step is included in the optimization procedure to improve the sum-rate when the interference alignment (IA) problem becomes infeasible due to the additional constraint. Numerical examples are provided to illustrate the effectiveness of the spatial shaping constraint in comparison to IT when the PPL transmits multiple data streams.
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底层MIMO干扰信道的干扰整形约束
本文研究了一种由次级干扰信道(IC)和主点对点链路(PPL)组成的认知无线电(CR)场景,当次级干扰信道(IC)和主点对点链路(PPL)相互干扰时。为了满足PPL给定的速率要求,典型的方法施加了干扰温度约束(IT)。但是,当PPL传输多个流时,干扰的空间结构就会起作用。在这种情况下,我们表明空间干涉整形约束可以在确保PPL所需速率的同时为IC提供更高的和速率性能。然后,我们扩展了干扰泄漏最小化算法(MinIL)来包含这些约束。在优化过程中加入了一个额外的功率控制步骤,以便在干扰对准问题由于附加约束而变得不可行的情况下提高和速率。数值算例表明,当PPL传输多个数据流时,空间整形约束与IT相比是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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