As a new and dominating 6G mobile-networks’ service class for time-sensitive traffics, massive ultra-reliable and low latency communications (mURLLC) has received tremendous attention. One of key 6G enabling-techniques for achieving mURLLC lies in how to efficiently support statistical delay and error-rate bounded quality-of-services (QoS) provisioning for real-time data-transmissions over time-varying wireless networks. Towards this end, several emerging wireless techniques, including finite blocklength coding (FBC), hybrid automatic repeat request with incremental redundancy (HARQ-IR) protocol, millimeter wave (mmWave), cell-free (CF) massive multiple-input multiple-output (m-MIMO), etc., have been shown to be 6G promising enablers to significantly improve various QoS performances. However, integrating these techniques with the statistical delay and error-rate bounded QoS provisioning theory for mURLLC has imposed many new difficulties not encountered before. To overcome these challenges, in this paper we propose the statistical delay-and-error-rate-bounded QoS provisioning system architecture over mmWave user-centric CF m-MIMO and FBC-HARQ-IR based 6G wireless networks. First, we establish the comprehensive system models by accurately characterizing the integrations of above-described 6G promising techniques with statistical QoS provisioning theory. Then, we integrate FBC with HARQ-IR protocol to derive the channel capacity as a function of error probability. Finally, we obtain the closed-form expressions for effective capacities under our proposed schemes. We also conduct a set of simulations to validate and evaluate our proposed FBC-HARQ-IR based mmWave user-centric CF m-MIMO schemes.

中文翻译：

---

基于毫米波无蜂窝 M-MIMO 和 FBC-HARQ 的 5G+ 移动网络的统计延迟/错误率有界 QoS 供应

作为用于时间敏感流量的新的占主导地位的 6G 移动网络服务类别，海量超可靠低延迟通信 (mURLLC) 受到了极大的关注。实现 mURLLC 的关键 6G 使能技术之一在于如何有效地支持统计延迟和错误率有界服务质量 (QoS) 配置，以便在时变无线网络上进行实时数据传输。为此，几种新兴的无线技术，包括有限块长度编码 (FBC)、具有增量冗余的混合自动重复请求 (HARQ-IR) 协议、毫米波 (mmWave)、无蜂窝 (CF) 大规模多输入多输出(m-MIMO) 等已被证明是 6G 有前途的推动者，可以显着提高各种 QoS 性能。然而，将这些技术与 mURLLC 的统计延迟和错误率有界 QoS 供应理论相结合，带来了许多以前从未遇到过的新困难。为了克服这些挑战，在本文中，我们提出了基于 mmWave 以用户为中心的 CF m-MIMO 和基于 FBC-HARQ-IR 的 6G 无线网络的统计延迟和错误率有界 QoS 供应系统架构。首先，我们通过准确表征上述 6G 有前途的技术与统计 QoS 供应理论的集成来建立综合系统模型。然后，我们将 FBC 与 HARQ-IR 协议相结合，以得出作为错误概率函数的信道容量。最后，我们在我们提出的方案下获得了有效容量的封闭形式表达式。