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Interference Recycling: Exploiting Interfering Signals to Enhance Data Transmission

机译:干扰回收:利用干扰信号增强数据传输

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With the rapid development of wireless communication technologies, the demand for higher data rate and more concurrent transmissions has been continually increasing. Due to the widespread deployment of various wireless technologies, interference has become a key roadblock to the improvement of network performance. Interference has long been known to be harmful, leading to development of numerous interference management (IM) mechanisms based on resource segmentation or signal processing to mitigate or suppress interference. Since a desired signal can be distorted by interference, and thus be incorrectly decoded at the destination, we argue that interference can also be transformed intentionally to extract the desired data from interfering signal(s). Based on this observation, we propose Interference ReCycling (IRC). Under IRC, a recycling signal is generated with the interference a victim receiver (Rx) is subjected to, and then sent by the Rx's associated transmitter (Tx). Under the influence of the recycling signal, the desired data of the victim Tx-Rx pair can be recovered from the interference at the victim Rx. That is, by exploiting the interactions among multiple signals, i.e., recycling signal and interference, useful data information can be extracted from interference, or the unintended data carried in interference can be artificially converted to the desired one. Our theoretical analysis and numerical evaluation have shown that the proposed IRC can fully exploit interference, and hence can significantly improve the spectral efficiency (SE) of the victim Rx compared to the other existing IM methods.
机译:随着无线通信技术的飞速发展,对更高数据速率和更多并发传输的需求一直在不断增长。由于各种无线技术的广泛部署,干扰已成为改善网络性能的主要障碍。众所周知,干扰是有害的,导致开发了许多基于资源分段或信号处理以减轻或抑制干扰的干扰管理(IM)机制。由于所需信号可能会因干扰而失真,从而在目的地被错误地解码,因此我们认为干扰也可以有意地进行转换,以从干扰信号中提取所需数据。基于此观察,我们提出了干扰回收(IRC)。在IRC下,回收信号会随着受害接收机(Rx)受到的干扰而产生,然后由Rx的相关发射机(Tx)发送。在回收信号的影响下,受害Tx-Rx对的所需数据可以从受害Rx处的干扰中恢复。即,通过利用多个信号之间的相互作用,即循环信号和干扰,可以从干扰中提取有用的数据信息,或者可以将干扰中携带的非预期数据人为地转换为期望的数据。我们的理论分析和数值评估表明,提出的IRC可以充分利用干扰,因此与其他现有IM方法相比,可以显着提高受害Rx的频谱效率(SE)。

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