Applications where multiple users communicate with a common server and desire low latency are common and increasing. This paper studies a network with two source nodes, one relay node and a destination node, where each source nodes wishes to transmit a sequence of messages, through the relay, to the destination, who is required to decode the messages with a strict delay constraint $T$. The network with a single source node has been studied in \cite{Silas2019}. We start by introducing two important tools: the delay spectrum, which generalizes delay-constrained point-to-point transmission, and concatenation, which, similar to time sharing, allows combinations of different codes in order to achieve a desired regime of operation. Using these tools, we are able to generalize the two schemes previously presented in \cite{Silas2019}, and propose a novel scheme which allows us to achieve optimal rates under a set of well-defined conditions. Such novel scheme is further optimized in order to improve the achievable rates in the scenarios where the conditions for optimality are not met.
翻译:多个用户与共同服务器进行通信并渴望使用低延迟时间的应用程序是常见且不断增长的。 本文研究的是两个源节点、 一个中继节点和一个目的地节点的网络, 每个源节点都希望通过中继向目的地传递一系列信息, 要求目的地在严格的延迟限制下解码信息 $T$。 单一源节点的网络在\cite{ SIlas2019} 中进行了研究。 我们首先引入了两个重要工具: 延迟频谱, 将延迟限制的点对点传输普遍化, 以及连接, 与时间共享相似, 允许将不同的代码组合, 以实现理想的运作机制。 我们使用这些工具可以推广先前在\cite{ Silas2019} 中提出的两种方案, 并提出一个新的方案, 使我们能够在一套明确界定的条件下达到最佳的速率。 这种新方案进一步优化, 以便在无法满足最佳条件的情景下提高可实现的速率。