The Importance of Repetitions in Ultra-Dense NB-IoT Networks

Rahman, Md. Arifur; Oliveira, Rodolfo; Flizikowski, Adam

doi:10.1109/lcomm.2022.3151324

Cited by 8 publications

(4 citation statements)

References 18 publications

(25 reference statements)

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“…NB-IoT is specifically designed to increase device coverage and connectivity in challenging environments such as deep indoors, in basements, and in remote locations compared to existing LTE systems [33], NB-IoT provides improved efficiencies of up to 20 dB, greatly expands connectivity, and enables a 164 dB MCL. NB-IoT uses various techniques to achieve this enhanced capacity coverage.…”

Section: Coverage Enhancement Methodsmentioning

confidence: 99%

Advancing NB-IoT Communication: Performance Analysis and Novel Gap-Aware Hybrid Scheduling for Delay-Sensitive Devices

TRABELSI,

GONTARA,

BOUGHARRIOU

et al. 2024

Preprint

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The explosive growth of Internet of Things (IoT) applications has driven the development of specialized communication technologies to cater to diverse device needs. Narrowband IoT (NB-IoT) is a promising low-power wide-area network (LPWAN) technology designed to support massive machine-type communication (MTC) with tolerant delay transmission. However, MTC presents new challenges for NB-IoT, especially in meeting the very low latency and high reliability requirements. It is important to understand which techniques, such as scheduling and resource allocation, enable low-delay applications to meet their goals. To accomplish these tasks, this paper uses realistic simulations within a variety of traffic scenarios, focusing on scheduling uplink data and resource allocation management. We discuss (1) the components contributing to the Quality of Service (QoS) for NB-IoT devices, (2) evaluate the performance of prioritized scheduling schemes and resource unit (RU) configuration for uplink transmission modes, point out potential improvements to reduce the latency for delay-sensitive devices, and (3) implement and evaluate a novel hybrid scheduling solution called the Gap Aware Hybrid Scheduling (GAHUS) Algorithm. We have developed a solution to enhance network efficiency and prioritize sensitive-delay devices to meet their QoS requirements. Using methods like simulations, comparisons, and performance evaluations, we have demonstrated the effectiveness of our approach in assigning free resource gaps created during long uplink transmissions. GAHUS enables handling massive MTC traffic while ensuring reliable performance for delay-sensitive devices by minimizing rejections and delays.

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Section: Coverage Enhancement Methodsmentioning

confidence: 99%

Advancing NB-IoT Communication: Performance Analysis and Novel Gap-Aware Hybrid Scheduling for Delay-Sensitive Devices

TRABELSI,

GONTARA,

BOUGHARRIOU

et al. 2024

Preprint

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“…As seen in the NB-IoT literature review, various RUCs are not generally considered for EE optimization, and only a single-tone RUC is used, although we show that this is the one with the lowest EE. In addition, other typical characteristics of IoT,such as the impact of multi-cellular scenario and repetitions are not considered, even though repetitions play a significant role in increasing coverage and reducing the block error rate [30]. Because these elements are all related to the latency and EE of the system, the joint latency and EE optimization of the system performance are explored here based on all these elements.…”

Section: Related Work and Novel Contributionsmentioning

confidence: 99%

Energy Efficiency and Latency Optimization for IoT URLLC and mMTC Use Cases

Elgarhy,

Reggiani,

Alam

et al. 2024

IEEE Access

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The Internet of Things (IoT) is an essential part of 5G, Beyond-5G (B5G), and 6G systems; it has several applications in two of the principal 5G use cases, namely ultra-reliable low-latency communications (URLLC) and massive machine-type communications (mMTC), and in their successors within B5G and 6G: extreme ultra-reliable low-latency communication (eURLLC) and ultra-massive machine-type communication (umMTC). IoT systems, which are characterized by narrow bandwidths, have stringent requirements owing to the specific nature of their applications and use cases. The purpose of this study is to investigate and jointly optimize the energy efficiency (EE) and latency through resource allocation for IoT cellular systems. With regard to the contributions, in this study we investigated the optimization of EE in narrowband IoT systems, compared resource unit configurations (RUCs), jointly formulated the optimization of EE and latency, and introduced a suboptimal but efficient algorithm. More precisely, as the EE performance of various resource unit configurations has not been exhaustively investigated in the current state of the art, we analyzed and compared the EE of RUCs. The results show vast differences in performance between RUCs. For example, in terms of EE, the best RUC has an EE more than 80 times higher than the worst, which illustrates the importance of this investigation. We then proposed a scheduler based on the shortest job first (SJF) for minimum latency allocation, and another scheduler based on a joint evaluation of EE and latency. With respect to conventional techniques, these schedulers achieve a better trade-off between latency reduction and gain in terms of EE for a wider range of parameter configurations in multi-cellular layouts. The study demonstrates that in the presence of repetitions, algorithms that achieve high EE will mostly achieve low latency. INDEX TERMS Energy efficiency, latency, resource allocation, uplink scheduling I. INTRODUCTIONCurrently, the Internet of Things (IoT) is one of the main components of modern wireless communication paradigms. There are three main 5G services: massive machine-type communication (mMTC), ultra-reliable low-latency communications (URLLC), and enhanced mobile broadband (eMBB). Two of these services are related to IoT: mMTC, which is for IoT devices and high-density connections, and URLLC, which serves industrial and mission-critical IoT. These services will not only remain in Beyond-5G (B5G) and 6G, but will also evolve into ultra-massive machine-type communication (umMTC) and extreme ultra-reliable low-latency communication (eURLLC). In addition to the requirements of these services, IoT devices often impose additional power consumption requirements. Therefore, the resource allocation should be designed to target multiple performance indicators. This is in line with the trend for B5G and 6G, because these systems are expected to have a mix of the three services rather than only one service at a time [1]; for example, merging the requirements of reliable l...

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“…1 where we model the locations of communicating nodes by independent homogeneous Poisson point processes (PPPs) in R 2 . The homogeneous PPP has shown high accuracy in modeling the position of the nodes in both static and mobile scenarios [16], [17]. Given that N is a RV representing the number of nodes located within an area |A|, the probability that P[N (|A|) = n] is given by…”

Section: A Network Modelmentioning

confidence: 99%

“…The MGF obtained in (17) can be used to find the x-th moment of I, i.e., E[I x ] = d x ds x Φ I (s)| s=0 . For the approximation of Y , the simulated aggregate interference is compared with different known distributions to identify the best distribution that fits the sample data.…”

Section: B Characterization Of Imentioning

confidence: 99%

Capacity and Energy Efficiency Trade-off in Multi-Packet Reception Wireless Systems

Oliveira

2022

2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)

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The radio access in Internet-of-Things (IoT) networks requires minimizing the energy consumption while achieving the capacity requirements especially for high density deployment. The Multi-Packet Reception (MPR) systems can potentially increase the capacity of devices due to the capability of decoding multiple transmitted packets at the receiver. However, the aggregate interference in such scenarios can lead to unfair distribution of the resources and eventually waste of energy. Therefore, this work provides an analytical characterization of the trade-off between capacity and energy consumption while regulating the channel access of multiple transmitters to a single-MPR receiver. The theoretical modeling considers different densities of spatially distributed nodes and their channel propagation conditions, in addition to different capture sensitivity thresholds at the receiver. The model is validated through simulation and it is shown to be an effective tool to identify the optimal channel access probability that maximizes the capacity per energy consumption.

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The Importance of Repetitions in Ultra-Dense NB-IoT Networks

Cited by 8 publications

References 18 publications

Advancing NB-IoT Communication: Performance Analysis and Novel Gap-Aware Hybrid Scheduling for Delay-Sensitive Devices

Advancing NB-IoT Communication: Performance Analysis and Novel Gap-Aware Hybrid Scheduling for Delay-Sensitive Devices

Energy Efficiency and Latency Optimization for IoT URLLC and mMTC Use Cases

Capacity and Energy Efficiency Trade-off in Multi-Packet Reception Wireless Systems

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