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Delay in Cooperative Communications: Achieving Higher Multiplexing Gain in Gaussian Interference Channels With Full-Duplex Transmitters

机译:协作通信中的延迟:在具有全双工发射机的高斯干扰信道中实现更高的复用增益

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摘要

Delay, guaranteeing causality, is inevitable in cooperative communication systems. Traditionally, delay granularity has been limited to one symbol; however, channel delay is in fact governed by channel memory and can be shorter. For example, the delay requirement in orthogonal frequency-division multiplexing, captured in the cyclic prefix, is typically much shorter than the symbol itself. This perspective is used to study the two-user Gaussian interference channel with full-duplex transmitters. By superimposing the signal from the other node onto its own signal, each transmitter cancels the interference at its receiver. Among other results, it is proved that under a mild condition, the maximum multiplexing gain of this channel is in fact two, rather than the limit of one, previously shown under the traditional constraint of causal delay. Further, the optimal power allocation among orthogonal sub-carriers, which maximizes the achievable sum-rate, is shown to be a generalization of the well-known water filling. Simulation results are included to demonstrate the improvement in the achievable sum-rate when full-duplex transmitters are used.
机译:在协作通信系统中,不可避免地要保证因果关系的延迟。传统上,延迟粒度仅限于一个符号。但是,通道延迟实际上是由通道内存控制的,并且可以更短。例如,在循环前缀中捕获的正交频分复用中的延迟要求通常比符号本身短得多。该观点用于研究全双工发射机的两用户高斯干扰信道。通过将来自另一个节点的信号叠加到它自己的信号上,每个发射机消除了其接收机处的干扰。除其他结果外,还证明了在温和条件下,此信道的最大复用增益实际上是2,而不是先前在传统的因果延迟约束下显示的极限1。另外,使可达到的总和率最大的正交子载波之间的最优功率分配被显示为众所周知的注水的概括。包括仿真结果,以证明使用全双工发射机时可达到的总速率的提高。

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