On Throughput Maximization of Grant-Free Access with Reliability-Latency Constraints

Gürsu, H. Murat; Kellerer, Wolfgang; Stefanović, Čedomir

doi:10.1109/icc.2019.8761270

Cited by 8 publications

(4 citation statements)

References 14 publications

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“…We also use Eq. (38) to calculate A k , and the first and second moments of X k can be expressed as E[X k ] = 1/p and E[X 2 k ] = (2 − p)/p 2 . Thus, we obtain the above expression and complete the proof.…”

Section: Aaoi Analysismentioning

confidence: 99%

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Age of Information Minimization for Frameless ALOHA in Grant-Free Massive Access

Huang

Jiao

Wang

et al. 2023

IEEE Trans. Wireless Commun.

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In this paper, we focus on the optimal problem of average age of information (AAoI) in grant-free massive access, and propose an age-critical frameless ALOHA (ACFA) random access protocol, where the AAoI is implicitly reduced by banning the transmission of activated user equipments (UEs) recovered successfully in the last frame. In particular, we analyze the dense and sparse access models according to the activation probability, and present these scenarios with time-stamped sampling either at the beginning of the frame or in the first slot transmitting the packet. In order to qualify the AAoI of proposed protocol, we define two virtual rates and establish an iterative framework to analyze the access successful probability (ASP) of the protocol in asymptotic regime, and derive the closed-form expressions of AAoI as a function of ASP and virtual rate in all cases. Further, we formulate the optimal problems of normalized AAoI in all cases, and obtain the selection of access parameters by asymptotic analysis and simulations, respectively. Finally, we compare our protocol with state-of-the-art schemes, and the simulation results show that the ACFA random access protocol outperforms these benchmark schemes, and has great potential of access-banned policy in minimizing AAoI for frame-based protocols.

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Section: Aaoi Analysismentioning

confidence: 99%

“…But it is difficult to estimates the Nt in sparse access, due to the complex relationship between activated UEs and banned-access UEs. The active UEs estimation can be find in[38]-[40].…”

mentioning

confidence: 99%

Age of Information Minimization for Frameless ALOHA in Grant-Free Massive Access

Huang

Jiao

Wang

et al. 2023

IEEE Trans. Wireless Commun.

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“…On the other hand, the traffic model in [44] considers the Beta distribution that implicitly requires a time-varying mean parameter, i.e., this traffic model accounts for the non-stationarity arrivals. Hence, the arrival distribution of the M v active users in SG applications can be modeled by a Poisson or Beta distributions [44], [45] frames relies on latency limitations. Indeed the worst-case scenario implies a user decoded following the expiration of the IRSA frame.…”

Section: A Aloha-basedmentioning

confidence: 99%

Raptor-Irsa Grant-Free Random Access Protocol for Smart Grids Applications

Rivas¹,

Abrão

2022

SSRN Journal

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“…Another work investigated the multichannel adaptation of K-MPR [11]. Further work have considered the use of estimation techniques to improve performance of K-MPR under 5G constraints [12], [13]. However, use of intra-slot SIC disregards the latency constraints and further MAC algorithms have to be imposed on top to guarantee latency requirements.…”

Section: A Related Workmentioning

confidence: 99%

System Level Integration of Irregular Repetition Slotted ALOHA for Industrial IoT in 5G New Radio

Gürsu

Moroglu

Vilgelm

et al. 2019

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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Automation is a key part of the new industrial revolution, that will be enabled by the deployment of thousands of sensors and actuators. The flexible deployment of these devices requires wireless connectivity which is labeled as industrial internet of things, IIoT. The sporadic activity pattern of IIoT devices naturally suggest the use of random access techniques, albeit posing new and unexplored challenges for the current wireless networks. On top of the demand for new access protocols, the latency-reliability requirements further challenge the existing random access protocols. In this work we investigate the adaptation of a well known modern random access algorithm, Irregular Repetition Slotted ALOHA (IRSA) to IIoT in 5G New Radio. The key contribution of the paper is the proposed system level protocol, Adaptive-Multichannel IRSA, that can fulfill the latency-reliability requirements. On top of this, the definition and solution of the resource allocation problem as a resource efficiency optimization guarantees that the algorithm minimizes the system resources. We show that for a set of specific requirements, AMC-IRSA can fulfill the requirements in a lot resource efficient manner. Lastly, we analyze most critical parameters to consider for integration of IRSA for 5G NR.

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On Throughput Maximization of Grant-Free Access with Reliability-Latency Constraints

Cited by 8 publications

References 14 publications

Age of Information Minimization for Frameless ALOHA in Grant-Free Massive Access

Age of Information Minimization for Frameless ALOHA in Grant-Free Massive Access

Raptor-Irsa Grant-Free Random Access Protocol for Smart Grids Applications

System Level Integration of Irregular Repetition Slotted ALOHA for Industrial IoT in 5G New Radio

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