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Computer Science > Information Theory

arXiv:2212.03602v2 (cs)
[Submitted on 7 Dec 2022 (v1) , revised 30 Jun 2023 (this version, v2) , latest version 20 Oct 2025 (v4) ]

Title: Reliable O-RAN-inspired Latency-constrained Wireless Transport Networks in 6G

Title: 可靠的6G-inspired时延约束无线传输网络

Authors:Bin Han, Muxia Sun, Yao Zhu, Vincenzo Sciancalepore, Mohammad Asif Habibi, Yulin Hu, Anke Schmeink, Yan-Fu Li, Hans D. Schotten
Abstract: The extreme requirements for high reliability and low latency in the upcoming Sixth Generation (6G) wireless networks are challenging the design of multi-hop relay networks. Inspired by the advent of the virtualization concept in the wireless networks design and openness paradigm as fostered by the O-RAN Alliance, we target a revolutionary resource scheduling scheme to improve the overall transmission efficiency. In this paper, we investigate the problem of multi-hop decode-and-forward (DF) relaying in the finite blocklength (FBL) regime, and propose a Dynamic Multi-Hop HARQ (DMH-HARQ) scheme, which maximizes the end-to-end (E2E) communication reliability in such systems. We also propose an integer dynamic programming (DP) algorithm to efficiently solve the optimal DMH-HARQ schedule. Constrained within a certain time frame to accomplish multi-hop relaying, our proposed
Abstract: 第六代(6G)无线网络对高可靠性和低延迟的极端要求正在挑战多跳中继网络的设计。受到无线网络设计中虚拟化概念和由O-RAN联盟推动的开放性范式的启发,我们旨在提出一种革命性的资源调度方案,以提高整体传输效率。在本文中,我们研究了有限块长度(FBL)范围内多跳解码转发(DF)中继的问题,并提出了一种动态多跳混合自动重传请求(DMH-HARQ)方案,该方案在这样的系统中最大化端到端(E2E)通信的可靠性。我们还提出了一种整数动态规划(DP)算法,以高效地解决最优的DMH-HARQ调度。在一定时间框架内完成多跳中继的约束下,我们提出的
Comments: Submitted to IEEE Transactions on Wireless Communications
Subjects: Information Theory (cs.IT)
Cite as: arXiv:2212.03602 [cs.IT]
  (or arXiv:2212.03602v2 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2212.03602
arXiv-issued DOI via DataCite

Submission history

From: Bin Han [view email]
[v1] Wed, 7 Dec 2022 12:36:37 UTC (178 KB)
[v2] Fri, 30 Jun 2023 13:10:14 UTC (1,060 KB)
[v3] Mon, 1 Jul 2024 22:25:25 UTC (5,449 KB)
[v4] Mon, 20 Oct 2025 22:18:59 UTC (5,493 KB)
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