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Outage Minimization and Fair Rate Allocation in Gaussian Interference Channels

机译:高斯干扰渠道中的中断最小化和公平利率分配

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We consider a memoryless narrowband Gaussian interference channel (GIC) where K single antenna users corn municate with their respective receivers using Gaussian code books. Each receiver employs a successive group decoder with a specified complexity constraint, to decode its designated user. It is aware of the coding schemes employed by all other users and may choose to decode some or all of them only if it deems that doing so will aid the decoding of its desired user. For a GIC with predetermined rates for all users, we obtain the minimum outage probability decoding strategy at each receiver, which satisfies the imposed complexity constraint and reveals the optimal channel dependent subset of interferers that must be decoded along with the desired user. We then consider the rate allocation problem over the GIC and design two distributed rate allocation algorithms which yield the symmetric fair rate allocation and the max min fair rate allocation, respectively.
机译:我们考虑一个无记忆窄带高斯干扰通道(GIC),其中K单天线用户玉米与其各自的接收器一起使用高斯代码书籍。每个接收器采用具有指定复杂性约束的连续组解码器,用于解码其指定的用户。它意识到所有其他用户采用的编码方案,并且可以选择仅当它认为这样做时才会解码其中的一些或所有这些都会有助于解码其所需用户。对于所有用户的预定速率的GIC,我们在每个接收器处获得最小停电概率解码策略,其满足强加的复杂性约束,并揭示必须与所需用户一起解码的最佳信道相关的干扰子集。然后,我们考虑GIC的速率分配问题,并设计两个分布式速率分配算法,其分别产生对称公允分配和最大最小公允汇率分配。

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