论文标题
在有限的精度CSIT下，将细胞间干扰视为噪声的最佳性
Optimality of Treating Inter-Cell Interference as Noise Under Finite Precision CSIT
论文作者
论文摘要
在这项工作中，我们研究了下行链路和上行链路细胞网络的广义自由度（GDOF），分别以高斯干扰广播通道（IBC）和高斯干扰多个访问通道（IMAC）为模型。我们专注于低细胞间干扰的制度，其中具有功率控制的单细胞传输和将噪声中的细胞间干扰（MC-TIN）视为GDOF是最佳的。在这种情况下，最近的作品确定了两个相关的方案：其中一种通过MC-TIN实现的GDOF区域为IBC和IMAC都实现了，而IBC和IMAC都是凸多面体的，而无需时间共享（MC-CTIN制度），而MC-TIN是IBC和IMAC和MC-MC-TIN（MC-MC-TIN制度）的最佳MC-TIN。在这项工作中，我们将MC-TIN框架扩展到蜂窝场景，在该场景中，发射机处的通道状态信息（CSIT）仅限于有限的精度。我们表明，在这种情况下，MC-TIN的GDOF最优性扩展到整个MC-CTIN制度，在该制度中，由于干扰一致性（IA）而丢失了GDOF益处。我们的结果构成了基于对齐图像（AI）方法的稳健外边界的另一个成功应用。
In this work, we study the generalized degrees-of-freedom (GDoF) of downlink and uplink cellular networks, modeled as Gaussian interfering broadcast channels (IBC) and Gaussian interfering multiple access channels (IMAC), respectively. We focus on regimes of low inter-cell interference, where single-cell transmission with power control and treating inter-cell interference as noise (mc-TIN) is GDoF optimal. Recent works have identified two relevant regimes in this context: one in which the GDoF region achieved through mc-TIN for both the IBC and IMAC is a convex polyhedron without the need for time-sharing (mc-CTIN regime), and a smaller (sub)regime where mc-TIN is GDoF optimal for both the IBC and IMAC (mc-TIN regime). In this work, we extend the mc-TIN framework to cellular scenarios where channel state information at the transmitters (CSIT) is limited to finite precision. We show that in this case, the GDoF optimality of mc-TIN extends to the entire mc-CTIN regime, where GDoF benefits due to interference alignment (IA) are lost. Our result constitutes yet another successful application of robust outer bounds based on the aligned images (AI) approach.
