On RACH preambles separation between human and machine type communication

Foddis, Gianluca; Garroppo, Rosario G.; Giordano, Stefano; Procissi, Gregorio; Roma, Simone; Topazzi, Simone

doi:10.1109/icc.2016.7510815

Cited by 11 publications

(5 citation statements)

References 7 publications

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“…To isolate machine-type communication from human-type communication, resources can be distributed as explored in [35]. Thus, the number of available preambles can be set.…”

Section: Rach Attempts Occur In 6 Different Cases [34]mentioning

confidence: 99%

PIoT: A Performance IoT Simulation System for a Large-Scale City-Wide Assessment

Firouzabadi,

Mellah,

Manzanilla-Salazar

et al. 2023

IEEE Access

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Given the proliferation of sensors and actuators, evaluating the network performance of current and forthcoming city-wide Internet of Things (IoT) applications is a challenging task. To overcome this challenge, we created a large-scale simulator called PIoT over the years that can assess the performance of multiple millions of mobile/static IoT devices using a 4G/5G cellular infrastructure. In PIoT, different Key Performance Indicators (KPIs) are defined and collected to produce data to evaluate applications and network performance. PIoT is an on-going academic simulator project, and its most recent version is accessible to the public through the user interface found on http://www.piotsimulation.com without any installation requirements. It uses a realistic database that contains the real locations and features of Base Stations (BSs) and the real locations of IoT user equipment devices. The interface can be used by operators and researchers to understand network behavior when deploying new applications or to gather data to feed artificial intelligence and machine learning algorithms. The objective of this paper is to present a detailed description of the PIoT modeling architecture, as well as some use cases to help potential users understand the type of capabilities that are available when using the simulator. Limitations and comparisons with other popular engines are also included in the paper.

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“…To isolate machine-type communication from human-type communication, resources can be distributed as explored in [35]. Thus, the number of available preambles can be set.…”

Section: Rach Attempts Occur In 6 Different Cases [34]mentioning

confidence: 99%

PIoT: A Performance IoT Simulation System for a Large-Scale City-Wide Assessment

Firouzabadi,

Mellah,

Manzanilla-Salazar

et al. 2023

IEEE Access

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“…Especially under RSS, it is more evident, since the radio access resources, like the preamble sequences and physical downlink control channel (PDCH) resources, may be fixed or adjusted dynamically and adaptively. [33][34][35] Improper base station-selection scheme may aggravate the congestion and overload of some base stations with an extremely low resource efficiency. Lien et al 36 introduced the cooperative access class barring (CACB) scheme for M2M communications and proposed an ACB-based congestion solution.…”

Section: Related Workmentioning

confidence: 99%

“…18 However, the available access resources for MTC devices and traffic load statuses for different base stations may be different from each other. 34,35 Devices randomly choose the base stations for network access, which leads to severer congestion with low resource efficiency. Hence, we need an autonomous and adaptive mechanism for mMTC devices to select proper base stations for congestion alleviations.…”

Section: Rapmentioning

confidence: 99%

Autonomous and adaptive congestion control for machine-type communication in cellular network

Pan

Wen

et al. 2019

International Journal of Distributed Sensor Networks

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Machine-type communications have suffered serious congestion, overload, and poor quality of service problems in cellular networks, since the cellular networks are designed for human-to-human communications. Moreover, current solutions just focus on the congestion for single base station and cannot adaptively work in the dynamic and complex conditions. In this article, we provide an autonomous and adaptive attractor-selection-based congestion control scheme for massive access from machine-type communication devices based on the resource separation scheme. First, we introduce a feasible and self-adaptive extended attractor-selection mechanism to decide which base station to be chosen. Simultaneously, an effective estimation algorithm for the traffic load of base stations is also designed to represent the network traffic load without frequent information exchanges among devices or base stations. With the available access resources and estimated traffic load taken into consideration, massive access attempts can receive the decisions via the broadcast and adaptively choose proper stations for alleviation of the congestion and overload. Finally, simulation results show that the proposed attractor-selection-based congestion control scheme achieves better performance in terms of average access delay, collision probability, and throughput of the whole system, adaptively accommodating to unpredictable environments under cellular networks.

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“…Simulation results show that H2H traffic has a better performance with RACH resource separation scheme while the M2M traffic prefers ACB scheme. A preamble set partition scheme is proposed in [ 37 ]. The impact of backoff indicator and retransmissions has been investigated by simulations.…”

Section: Related Workmentioning

confidence: 99%

Performance Analysis of a Novel Hybrid S-ALOHA/TDMA Protocol for Beta Distributed Massive MTC Access

Sui

Wang

et al. 2017

Sensors

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Simultaneous random access of massive machine type communications (MTC) devices are expected to cause congestion in the radio access network. Not only the performance of MTC, but the coexisting human to human (H2H) communications would also degrade dramatically without an appropriate medium access control (MAC) protocol. However, most existing solutions focus on the random access procedure without dealing with the sunsequent data transmission procedure. In this paper, we firstly derive a packet size threshold based on the capacity analysis of slotted ALOHA (S-ALOHA) and time division multiple access (TDMA) protocols. Then a novel hybrid S-ALOHA/TDMA MAC protocol (HSTMAC) is presented for massive MTC access, in which the resources are separated for beta distributed machine to machine (M2M) traffic with small size packets and high priority H2H traffic with large size packets. Considering access class barring (ACB) scheme as an overload control method, the system equilibrium under arbitrary retransmission limit is analyzed rigorously, which can provide insights on quality of service (QoS) guarantee. Finally, a dynamic pre-backoff (DPBO) algorithm is designed for load balance by adaptively scattering the highly synchronized M2M traffic over the transmission interval. Numerical and simulation results validate our analysis and show that the HSTMAC protocol is superior to pure S-ALOHA protocol and pure TDMA protocol. The proposed DPBO algorithm can achieve a higher success probability and resource utilization ratio with a much reduced average delay than that of uniform pre-backoff (UPBO) scheme.

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On RACH preambles separation between human and machine type communication

Cited by 11 publications

References 7 publications

PIoT: A Performance IoT Simulation System for a Large-Scale City-Wide Assessment

PIoT: A Performance IoT Simulation System for a Large-Scale City-Wide Assessment

Autonomous and adaptive congestion control for machine-type communication in cellular network

Performance Analysis of a Novel Hybrid S-ALOHA/TDMA Protocol for Beta Distributed Massive MTC Access

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