高斯干扰信道分散处理中的缩放定律和技术
Scaling Laws and Techniques in Decentralized Processing of Interfered Gaussian Channels
摘要：
研究了在干扰信号存在的情况下分布式接收的可达通信速率的缩放定律和相应的上界。该方案包括一个发射机通过两个中继与远程目的地通信，中继通过具有有限容量的可靠链路将消息转发到远程目的地。中继接收传输以及一些未知的干扰。我们专注于分布式接收的三个常见设置，其中容量的缩放定律（作为发射机的功率和干扰的前对数被取为无穷大）被完全表征。在大多数情况下，为了克服干扰，需要将关于干扰的一定量的信息与期望的消息一起转发到目的地。在一个场景中，割集上界是严格宽松的。结果是使用切割集以及一个新的边界技术，它依赖于多字母的表达式。此外，晶格被发现是一个有用的通信技术，在这种情况下，并用于表征的缩放定律的可实现的速率。
英文摘要：
The scaling laws of the achievable communication rates and the corresponding upper bounds of distributed reception in the presence of an interfering signal are investigated. The scheme includes one transmitter communicating to a remote destination via two relays, which forward messages to the remote destination through reliable links with finite capacities. The relays receive the transmission along with some unknown interference. We focus on three common settings for distributed reception, wherein the scaling laws of the capacity (the pre-log as the power of the transmitter and the interference are taken to infinity) are completely characterized. It is shown in most cases that in order to overcome the interference, a definite amount of information about the interference needs to be forwarded along with the desired message, to the destination. It is exemplified in one scenario that the cut-set upper bound is strictly loose. The results are derived using the cut-set along with a new bounding technique, which relies on multi letter expressions. Furthermore, lattices are found to be a useful communication technique in this setting, and are used to characterize the scaling laws of achievable rates.
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