基于HARQ-IR的6G CF M-MIMO无线网络统计延迟和错误率有界QoS提供的ε-有效容量

Xi Zhang, Jingqing Wang, H. Poor
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引用次数: 0

摘要

在保证严格的超可靠和低延迟通信(URLLC)的同时,在下一代无线网络中引入了对更好的服务质量(QoS)的新要求,这一问题已经投入了大量的努力。URLLC提出的主要设计问题之一是如何在保证超可靠性的同时支持对延迟敏感的多媒体应用程序爆炸式增长的需求。为此,已经有了广泛的有前途的技术,包括统计延迟和错误率有限的QoS提供,无单元(CF)大规模多输入多输出(m-MIMO),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)协议等。然而,当与FBC集成时,如何从统计延迟和错误率有界QoS提供方面严格有效地表征移动无线网络的动态特性,对CF m-MIMO提出了许多前所未有的新挑战。为了克服这些挑战,在本文中,我们开发了统计延迟和错误率有限的QoS分析建模方案,以表征基于fbc的6G CF m-MIMO无线网络上的有效容量。首先,我们建立了基于CF m-MIMO的系统架构模型。其次,我们采用HARQ-IR协议,利用Mellin变换推导信道编码率、中断概率和基于FBC的有效容量函数。最后,我们进行了一组模拟来验证和评估我们提出的方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The ε-Effective Capacity for Statistical Delay and Error-Rate Bounded QoS Provisioning Over 6G CF M-MIMO Wireless Networks Using HARQ-IR
Significant effort has been devoted to the problem of guaranteeing stringent ultra-reliable and low-latency communications (URLLC) while introducing new requirements for better quality-of-services (QoS) over next generation wireless networks. One of the major design issues raised by URLLC is how to support explosively growing demands for delay-sensitive multimedia applications while guaranteeing ultra-reliability. Towards this end, there have been a wide spectrum of promising techniques, including statistical delay and error rate-bounded QoS provisioning, cell-free (CF) massive multiple-input-multiple-output (m-MIMO), finite blocklength coding (FBC), hybrid automatic repeat request with incremental redundancy (HARQ-IR) protocol, etc. However, when being integrated with FBC, how to rigorously and efficiently characterize the dynamics of mobile wireless networks in terms of statistical delay and error-rate bounded QoS provisioning for CF m-MIMO has imposed many new challenges not encountered before. To overcome these challenges, in this paper we develop statistical delay and error-rate bounded QoS analytical modeling schemes to characterize the FBC-based $\epsilon$-effective capacity over 6G CF m-MIMO wireless networks using HARQ-IR. In particular, first we establish CF m-MIMO based system architecture models. Second, we apply a HARQ-IR protocol for deriving the channel coding rate, outage probability, and FBC based $\epsilon$-effective capacity function using the Mellin transform. Finally, we conduct a set of simulations to validate and evaluate our proposed schemes.
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