滑动窗口网络编码实现下一代URLLC毫米波网络

Eurico Dias;Duarte Raposo;Homa Esfahanizadeh;Alejandro Cohen;Tânia Ferreira;Miguel Luís;Susana Sargento;Muriel Médard
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引用次数: 2

摘要

超可靠性和低延迟是新兴的第六代通信系统(xURLLC)的关键要求。毫米波(mmWave)技术从全向天线向高定向天线的转变,被视为高带宽通信的推动者,仍然容易受到高损耗和高延迟变化的影响。在这样的系统中,经典的错误恢复方法无法弥补高吞吐量和低延迟之间不断扩大的差距。在这封信中,我们将有效的滑动窗口网络编码解决方案纳入毫米波通信。虽然诸如无速率码之类的遗留系统改善了延迟,但跨层结果表明,由于毫米波信道的损耗行为和较低层的重传机制,它们不提供低延迟通信(LLC)。另一方面,固定滑动窗口随机线性网络编码(RLNC)能够实现LLC,甚至更好的是,自适应滑动窗口RLNC在毫米波回程网络中获得超可靠LLC(URLLC)。
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Sliding Window Network Coding Enables NeXt Generation URLLC Millimeter-Wave Networks
Ultra-reliability and low-latency are pivotal requirements of the emerging 6th generation of communication systems (xURLLC). The transition in millimeter-wave (mmWave) technology, from omni-directional to highly directional antennas, has been seen as an enabler for high bandwidth communications, still susceptible to high loss and high latency variation. Classical error recovery approaches cannot close the rising gap between high throughput and low delay in such systems. In this letter, we incorporate effective sliding window network coding solutions in mmWave communications. While legacy systems such as rateless codes improve the delay, cross-layer results show that they do not provide Low Latency Communications (LLC), due to the lossy behaviour of mmWave channel and the lower-layers’ retransmission mechanisms. On the other hand, fixed sliding window random linear network coding (RLNC) is able to achieve LLC, and even better, adaptive sliding window RLNC obtains Ultra-Reliable LLC (URLLC) in mmWave backhaul networks.
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Table of Contents IEEE Networking Letters Author Guidelines IEEE COMMUNICATIONS SOCIETY IEEE Communications Society Optimal Classifier for an ML-Assisted Resource Allocation in Wireless Communications
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