Latency Analysis and Trial for 5G Ultra Reliable Low Latency Communication

Zhang, Nuoya; He, Ping; Wu, Zuping; Chen, Pinghui; Wang, Lei; Ye, Zhenye

doi:10.1109/icccworkshops57813.2023.10233822

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…The demand for wireless data has shown exponential growth over the past few decades, and it is expected to increase even further in the future. Simultaneously, user equipment (UE) demands high data rates, wide coverage, and low-latency services [1,2]. To meet these requirements, massive MIMO has been presented as a breakthrough technology in 5G [3,4].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Scheduling and Power Allocation with Random Arrival Rates in Dense User-Centric Scalable Cell-Free MIMO Networks

Shin,

Kim,

Park

et al. 2024

Mathematics

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In this paper, we address scheduling methods for queue stabilization and appropriate power allocation techniques in downlink dense user-centric scalable cell-free multiple-input multiple-output (CF-MIMO) networks. Scheduling is performed by the central processing unit (CPU) scheduler using Lyapunov optimization for queue stabilization. In this process, the drift-plus-penalty is utilized, and the control parameter V serves as the weighting factor for the penalty term. The control parameter V is fixed to achieve queue stabilization. We introduce the dynamic V method, which adaptively selects the control parameter V considering the current queue backlog, arrival rate, and effective rate. The dynamic V method allows flexible scheduling based on traffic conditions, demonstrating its advantages over fixed V scheduling methods. In cases where UEs scheduled with dynamic V exceed the number of antennas at the access point (AP), the semi-orthogonal user selection (SUS) algorithm is employed to reschedule UEs with favorable channel conditions and orthogonality. Dynamic V shows the best queue stabilization performance across all traffic conditions. It shows a 10% degraded throughput performance compared to V = 10,000. Max-min fairness (MMF), sum SE maximization, and fractional power allocation (FPA) are widely considered power allocation methods. However, the power allocation method proposed in this paper, combining FPA and queue-based FPA, achieves up to 60% better queue stabilization performance compared to MMF. It is suitable for systems requiring low latency.

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Section: Introductionmentioning

confidence: 99%

Dynamic Scheduling and Power Allocation with Random Arrival Rates in Dense User-Centric Scalable Cell-Free MIMO Networks

Shin,

Kim,

Park

et al. 2024

Mathematics

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Latency and Reliability Analysis of a 5G-Enabled Internet of Musical Things System

Turchet

Casari

2024

IEEE Internet Things J.

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The availability of high-performance embedded audio systems, along with high-bandwidth and low-latency connectivity options provided by 5G networks, is enabling the Internet of Musical Things (IoMusT) paradigm. A central component of this paradigm is represented by Networked Music Performances (NMPs), where geographically displaced musicians play together over the network in real time. However, to date, IoMusT deployments over 5G networks remain scarce, and very limited statistical results are available on the actual latency and reliability of 5G networks for IoMusT and NMP scenarios. In this paper, we present a private 5G IoMusT deployment and analyze its performance when supporting NMPs. Our IoMusT system is composed of up to four nodes and includes different background traffic conditions. We focused on the assessment of the sole wireless link, as the measurements can be easily transferred to a realistic NMP architecture involving a WAN by compounding them with those of the WAN. Our results show that latency increases with the number of nodes and with the presence of background traffic, whereas the reliability did not vary with the complexity of the conditions. For all tested scenarios, the average measured latency was below 24 ms (including a jitter buffer of 10.66 ms), whereas packet losses occurred with a probability of less than 0.01. However, irregular spikes were found for all latency and reliability metrics, which can significantly reduce the quality of service perceived by the users of NMP applications. Finally, packet loss and latency resulted to be uncorrelated, which suggests that they have different root causes.

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Latency Analysis and Trial for 5G Ultra Reliable Low Latency Communication

Cited by 2 publications

References 8 publications

Dynamic Scheduling and Power Allocation with Random Arrival Rates in Dense User-Centric Scalable Cell-Free MIMO Networks

Dynamic Scheduling and Power Allocation with Random Arrival Rates in Dense User-Centric Scalable Cell-Free MIMO Networks

Latency and Reliability Analysis of a 5G-Enabled Internet of Musical Things System

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