5G Multi-Band Numerology-Based TDD RAN Slicing for Throughput and Latency Sensitive Services

Hossain, Abdullah Ridwan; Ansari, Nirwan

doi:10.1109/tmc.2021.3106323

Cited by 12 publications

(2 citation statements)

References 41 publications

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“…In [35], the authors designed a GPF+, an ultra-fast PF scheduler that decomposes the original scheduling problem into a large number of small and independent sub-problems and leverages accelerators to solve these sub-problems. In [36], the authors demonstrated the impact of the numerology on a sliced TDD radio access network that is multiplexed over both the sub-6 GHz and mmWave bands. It was shown that higher numerology schemes do not always translate into higher average spectral efficiency.…”

Section: Related Workmentioning

confidence: 99%

RETALIN: A Queue Aware Uplink Scheduling Scheme for Reducing Scheduling Signaling Overhead in 5G NR

Gautam,

Tamma

2024

IEEE Access

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Flexible numerology in 5G New Radio (NR) helps to reduce End-to-End (E2E) delay by supporting different slot duration options. But, higher numerologies can increase signaling overhead (in terms of Scheduling Requests (SRs) in uplink (UL)) for applications which are UL heavy in nature; as a consequence, the E2E delay of such applications could be impacted. This sudden increase in SRs in UL happens when the timing of the Constant-Bit-Rate (CBR) UL transmission is not properly aligned with the slot duration of the numerology employed and aggressive emptying of the buffered data at the User Equipments (UEs) by the UL scheduler. In this work, to minimize SRs while meeting the latency requirements of the UL heavy applications like vehicular applications, we propose a novel UL MAC scheduling algorithm named RETALIN. The proposed RETALIN is a queue-aware radio resource scheduler that estimates the probability of SR with respect to each UE (vehicle) and anatomizes the transient queue behavior by controlling backlogs of the UEs in order to reduce SRs and thereby mitigating an adverse impact of numerology in the UL traffic while keeping a bound on E2E delay of the vehicular applications. Extensive NS-3 simulations are performed to evaluate the performance of the proposed RETALIN scheme with mobility traces taken from Simulation of Urban Mobility (SUMO) using OpenStreetMap. Simulation results show that the proposed RETALIN scheduling scheme significantly reduces link delay for different numerologies when compared with a state-of-art QoS scheduler. Further, RETALIN increases Packet Delivery Ratio (PDR) while reducing signaling overhead due to SRs for UL scheduling. In the case of a High Definition Map (HD Map) vehicular application, RETALIN assists in increasing the Offloading Success Rate (OSR) over the QoS scheduler.INDEX TERMS 5G New Radio (NR), Vehicle to Everything (V2X), Network Simulator 3 (NS-3), Numerology, Radio Resource Management, Uplink scheduling.

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Section: Related Workmentioning

confidence: 99%

RETALIN: A Queue Aware Uplink Scheduling Scheme for Reducing Scheduling Signaling Overhead in 5G NR

Gautam,

Tamma

2024

IEEE Access

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“…Max pooling is the most significant pooling. It is employed to select the highest value available in each window [20][21][22][23].…”

Section: Cnnmentioning

confidence: 99%

Highly Secure and Accurate Deep Slicing in 5G Wireless Networks for Efficient Resource Utilization

Naveena¹

2023

Communications

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Both the current cellular network and the planned 5G mobile network need to meet high dependability standards, very low latency requirements, larger capacity, better security and fast user communication. In order to support multiple independent tenants on the same physical infrastructure, mobile carriers are working towards end-to-end network resource allocation in 5G networks. Future communication networks will require data-driven decision making due to the increase in traffic and the accelerated performance of 5G networks. With the use of in-network deep learning and prediction, a "deep slice" model was built in this study to control network load efficiency and network availability. Even in the event of a network outage, the suggested model is capable of making wise selections and choosing the best network slice.

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Toward Radio Access Network Slicing Enforcement in Multi-cell 5G System

et al. 2022

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The proliferation of sophisticated applications and services comes with diverse performance requirements. The 5G cellular network is advocated to support this diversity through an end-to-end network slicing. Even though the slicing is not a novel concept, its implementation in the RAN still remains challenging. In this article, we aim to enforce the real time 5G slicing from radio resources perspective in a multi-cell system. For that, two exact optimization models are proposed. Due to their high convergence time, three heuristics are developed and evaluated with the optimal models. Results are promising, as two heuristics are highly enforcing the real time RAN slicing.

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5G Multi-Band Numerology-Based TDD RAN Slicing for Throughput and Latency Sensitive Services

Cited by 12 publications

References 41 publications

RETALIN: A Queue Aware Uplink Scheduling Scheme for Reducing Scheduling Signaling Overhead in 5G NR

RETALIN: A Queue Aware Uplink Scheduling Scheme for Reducing Scheduling Signaling Overhead in 5G NR

Highly Secure and Accurate Deep Slicing in 5G Wireless Networks for Efficient Resource Utilization

Toward Radio Access Network Slicing Enforcement in Multi-cell 5G System

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