Abstract
Ultra Reliable Low Latency Communication (URLLC) mode is a promising 5G technology for various real-time applications, such as, autonomous vehicles, augmented reality, and factory automation. Several papers on URLLC exist, however, most papers only focus on ways to achieve high reliability, and lack mathematical analysis of delay related to packet errors, retransmissions, and bandwidth. In this paper, a M/G/1 queuing model is applied to analyze the erroneous transmission recovery delay of URLLC multi-user services, and using this model the minimum required bandwidth is derived and applied into an adaptive control scheme. The proposed Pollaczek-Khinchine (P-K) formula based quadratic optimization (PFQO) scheme optimizes the bandwidth requirement by controlling the maximum retransmission parameter of the hybrid automatic repeated request (HARQ) mechanism in URLLC. Simulation results show the bandwidth saving effect of the proposed PFQO scheme based on various signal to interference plus noise ratios (SINRs) and packet length distributions.
Highlights
Ultra Reliable Low Latency Communication (URLLC) 5G technology was designed to support packet delivery with minimum latency and high reliability, which is required for realtime automation applications that must satisfy high levels of quality of service (QoS) to be precise and maintain stability
In this paper, the proposed P-K formula based quadratic optimization (PFQO) scheme optimizes the bandwidth considering hybrid automatic repeated request (HARQ) based on 5G URLLC communication
In comparison with other papers, the proposed scheme uses the queuing delay model based on the P-K formula while including the influence of the transmission time
Summary
Ultra Reliable Low Latency Communication (URLLC) 5G technology was designed to support packet delivery with minimum latency and high reliability, which is required for realtime automation applications that must satisfy high levels of quality of service (QoS) to be precise and maintain stability. In [11], a scheme that controls the maximum number of transmissions and minimizes the bandwidth (based on a finite block length assumption of the system operation) using the square root staffing rule is proposed These papers do not perform an URLLC protocol based queuing delay analysis or consider the scenario where the URLLC packets can be transmitted on demand. This paper deals with the mathematical analysis of reliability, latency, and allocated bandwidth controlled by a 5G generation Node B base station (gNB) in order to satisfy URLLC requirements. Based on use of network slice technology, derivations to determine how much bandwidth is required to allocate an URLLC slice, considering NR specifications and queuing delay are provided in this paper, which could be implemented into future 5G schedulers to enhance the URLLC performance. The performance of PFQO is compared to the bandwidth square root staffing rule based optimization (SSRO) scheme of [11], which uses the square root staffing rule to optimize the URLLC bandwidth
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