In supporting the new 6G standard traffic services-massive ultra-reliable low-latency communications (mURLLC), several advanced techniques, including statistical delay-bounded quality-of-service (QoS) provisioning theory and finite blocklength coding (FBC), have been developed to upper-bound both delay and error-rate for time-sensitive multimedia applications. On the other hand, cell-free (CF) massive multi-input multioutput (m-MIMO), where a large number of distributed access points (APs) jointly serve a massive number of mobile devices using the same time-frequency resources, has emerged as one of the 6G key promising techniques to significantly improve various QoS performances for supporting mURLLC. However, it is challenging to statistically guarantee stringent mURLLC QoS-requirements for transmitting multimedia traffics over CF m-MIMO and FBC based 6G wireless networks. To overcome these problems, we develop analytical models to precisely characterize the delay and error-rate bounded QoS performances while considering non-vanishing decode-error probability for CF m-MIMO based schemes. In particular, we develop FBC based system models and apply the Mellin transform to characterize arrival/service processes for our proposed CF m-MIMO modeling schemes. Then, we formulate and solve the delay violation probability minimization problem and obtain the closed-form solution of the optimal rate adaptation policy for each mobile user over 6G CF m-MIMO mobile wireless networks in the finite blocklength regime. Our simulation results validate and evaluate our proposed schemes for statistical delay and error-rate bounded QoS provisioning.

中文翻译：

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有限块长体制中6G CF M-MIMO移动网络上mURLLC的统计延迟和错误率有界QoS设置

为了支持新的6G标准流量服务-超可靠的低延迟通信（mURLLC），已经采用了多种先进技术，包括统计延迟限制的服务质量（QoS）供应理论和有限块长编码（FBC）。开发用于时敏多媒体应用的延迟和错误率的上限。另一方面，无蜂窝（CF）大规模多输入多输出（m-MIMO）具有大量的分布式接入点（AP）共同为使用相同时频资源的大量移动设备提供服务，成为6G关键有前途的技术之一，可以显着提高各种QoS性能以支持mURLLC。然而，从统计上保证严格的mURLLC QoS要求对于在CF m-MIMO和基于FBC的6G无线网络上传输多媒体流量具有挑战性。为了克服这些问题，我们开发了分析模型来精确表征延迟和误码率限制的QoS性能，同时考虑了基于CF m-MIMO方案的解码错误概率不消失。特别是，我们开发了基于FBC的系统模型，并针对建议的CF m-MIMO建模方案应用Mellin变换来表征到达/服务过程。然后，我们制定并解决了延迟违规概率最小化问题，并在有限的块长体制下，针对6G CF m-MIMO移动无线网络上的每个移动用户，获得了最优速率自适应策略的闭式解。