A Novel HARQ Pooling Scheme for Improved Multi-Connectivity in 5G Cloud RAN

Sheshachalam, B S; Kalyanasundaram, Suresh; Kumar, Satya

doi:10.1109/glocomw.2016.7848820

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…The authors of [87] also explore the influence of CSI feedback accuracy on ARQ performance, and then propose a new spatial diversity-based data transmission scheme with cooperative ARQ to improve the transmission reliability in a smart factory scenario. In [134], the authors propose a new HARQ process pooling method for multiconnectivity UE, in which dynamic and adaptive splitting HARQ processes are cooperatively handled across different carriers to support URC.…”

Section: A Arq/harqmentioning

confidence: 99%

Enabling Technologies for Ultra-Reliable and Low Latency Communications: From PHY and MAC Layer Perspectives

Sutton

Zeng

Liu

et al. 2019

IEEE Commun. Surv. Tutorials

220

163

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Future 5th generation (5G) networks are expected to enable three key services -enhanced mobile broadband (eMBB), massive machine type communications (mMTC) and ultra-reliable and low latency communications (URLLC). As per the 3rd generation partnership project (3GPP) URLLC requirements, it is expected that the reliability of one transmission of a 32 byte packet will be at least 99.999% and the latency will be at most 1 ms. This unprecedented level of reliability and latency will yield various new applications such as smart grids, industrial automation and intelligent transport systems. In this survey we present potential future URLLC applications, and summarize the corresponding reliability and latency requirements. We provide a comprehensive discussion on physical (PHY) and medium access control (MAC) layer techniques that enable URLLC, addressing both licensed and unlicensed bands. The paper evaluates the relevant PHY and MAC techniques for their ability to improve the reliability and reduce the latency. We identify that enabling long-term evolution (LTE) to coexist in the unlicensed spectrum is also a potential enabler of URLLC in the unlicensed band, and provide numerical evaluations. Lastly, the paper discusses the potential future research directions and challenges in achieving the URLLC requirements.

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Section: A Arq/harqmentioning

confidence: 99%

Enabling Technologies for Ultra-Reliable and Low Latency Communications: From PHY and MAC Layer Perspectives

Sutton

Zeng

Liu

et al. 2019

IEEE Commun. Surv. Tutorials

220

163

View full text Add to dashboard Cite

show abstract

“…Subsequently, these authors expanded their research to introduce a novel, assortment-based spatial data transmission scheme with cooperative HARQ to improve transmission trustworthiness in smart industry applications. In [80], a HARQ pooling approach for multi-connectivity UE is suggested, in which complex and versatile HARQ splitting schemes are treated helpfully through various carriers to achieve URLLC prerequisites. For the transmission of data between UEs and eNB, Shariatmadari et al [81] used E2E reliability For a latency requirement of < 1 ms, and a TTI of 0.125 ms is used to allow four transmissions, which can occur on any link between a UE and an eNB.…”

Section: Related Contributionsmentioning

confidence: 99%

URLLC for 5G and Beyond: Requirements, Enabling Incumbent Technologies and Network Intelligence

et al. 2021

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The tactile internet (TI) is believed to be the prospective advancement of the internet of things (IoT), comprising human-to-machine and machine-to-machine communication. TI focuses on enabling realtime interactive techniques with a portfolio of engineering, social, and commercial use cases. For this purpose, the prospective 5 th generation (5G) technology focuses on achieving ultra-reliable low latency communication (URLLC) services. TI applications require an extraordinary degree of reliability and latency. The 3 rd generation partnership project (3GPP) defines that URLLC is expected to provide 99.99% reliability of a single transmission of 32 bytes packet with a latency of less than one millisecond. 3GPP proposes to include an adjustable orthogonal frequency division multiplexing (OFDM) technique, called 5G new radio (5G NR), as a new radio access technology (RAT). Whereas, with the emergence of a novel physical layer RAT, the need for the design for prospective next-generation technologies arises, especially with the focus of network intelligence. In such situations, machine learning (ML) techniques are expected to be essential to assist in designing intelligent network resource allocation protocols for 5G NR URLLC requirements. Therefore, in this survey, we present a possibility to use the federated reinforcement learning (FRL) technique, which is one of the ML techniques, for 5G NR URLLC requirements and summarizes the corresponding achievements for URLLC. We provide a comprehensive discussion of MAC layer channel access mechanisms that enable URLLC in 5G NR for TI. Besides, we identify seven very critical future use cases of FRL as potential enablers for URLLC in 5G NR.

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