A Simple and Efficient Link Adaptation Method for Narrowband Internet of Things

Hu, Qingsheng; Fan, X.; Li, Zhiyong

doi:10.1109/hpcc/smartcity/dss.2019.00365

Cited by 7 publications

(8 citation statements)

References 5 publications

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“…A lot of solutions have been proffered in the literature to address these issues as compiled below. In [119], a modest and effective link-adaptation scheme for the combination of the MCS level and the number of resource units (RU) is proposed for selecting a large transport block per packet size. The process is aimed at reducing the NP-USCH and NP-DCCH transmissions and at satisfying the BLER condition for the selected repetition number per channel status.…”

Section: H Link Adaptationmentioning

confidence: 99%

Building Upon NB-IoT Networks: A Roadmap Towards 5G New Radio Networks

Hancke

Abu‐Mahfouz

2020

IEEE Access

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Narrowband Internet of Things (NB-IoT) is a type of low-power wide-area (LPWA) technology standardized by the 3 rd-Generation Partnership Project (3GPP) and based on long-term evolution (LTE) functionalities. NB-IoT has attracted significant interest from the research community due to its support for massive machine-type communication (mMTC) and various IoT use cases that have stringent specifications in terms of connectivity, energy efficiency, reachability, reliability, and latency. However, as the capacity requirements for different IoT use cases continue to grow, the various functionalities of the LTE evolved packet core (EPC) system may become overladen and inevitably suboptimal. Several research efforts are ongoing to meet these challenges; consequently, we present an overview of these efforts, mainly focusing on the Open System Interconnection (OSI) layer of the NB-IoT framework. We present an optimized architecture of the LTE EPC functionalities, as well as further discussion about the 3GPP NB-IoT standardization and its releases. Furthermore, the possible 5G architectural design for NB-IoT integration, the enabling technologies required for 5G NB-IoT, the 5G NR coexistence with NB-IoT, and the potential architectural deployment schemes of NB-IoT with cellular networks are introduced. In this article, a description of cloud-assisted relay with backscatter communication, a comprehensive review of the technical performance properties and channel communication characteristics from the perspective of the physical (PHY) and medium-access control (MAC) layer of NB-IoT, with a focus on 5G, are presented. The different limitations associated with simulating these systems are also discussed. The enabling market for NB-IoT, the benefits for a few use cases, and possible critical challenges related to their deployment are also included. Finally, present challenges and open research directions on the PHY and MAC properties, as well as the strengths, weaknesses, opportunities, and threats (SWOT) analysis of NB-IoT, are presented to foster the prospective research activities.

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Section: H Link Adaptationmentioning

confidence: 99%

Building Upon NB-IoT Networks: A Roadmap Towards 5G New Radio Networks

Hancke

Abu‐Mahfouz

2020

IEEE Access

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“…The NB-IoT link adaptation problem is investigated in [11]- [18]. In [11], an efficient link adaptation method is proposed for NB-IoT networks.…”

Section: Related Workmentioning

confidence: 99%

A Four-Sided Matching Game for Energy-Efficient Scheduling in Narrowband-IoT Networks

et al. 2023

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This paper studies the uplink resource allocation problem in NB-IoT networks. We aim to maximize the network's energy efficiency to serve devices in need for long battery lifetime. Also, the network energy efficiency is affected by the associated UEs to candidates, carrying the scheduling information for UEs. For this reason, we investigate the joint resource allocation and Candidate-UE association problem in the uplink (UL) in NB-IoT. The resource allocation problem allocates the UEs with the suitable scheduling delay value and subcarrier indication field. The Candidate-UE association problem selects the appropriate UE for each candidate. The optimization variables involved in the joint problem are divided into binary association variables and binary resource allocation variables. This makes it hard to solve the joint problem since its optimization variables are of combinatorial nature. To this end, we formulate the joint problem as a four-sided matching game that ranks the UEs, candidates, the scheduling delay values and subcarrier indication fields while considering maximizing the energy efficiency as a preference metric. We then describe a four-sided matching game algorithm to solve the problem. The simulation results highlight the proposed algorithm's effectiveness compared to other algorithms in the obtained network energy efficiency.

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Section: Related Work and Contributionsmentioning

confidence: 99%

“…The link adaptation was the subject of the studies in recent papers as in [ 11 , 12 , 13 , 14 , 15 , 16 , 17 ]. In [ 11 ], the authors proposed a simple and efficient link adaptation procedure for NB-IoT. The proposed procedure determines the optimal combination of modulation and coding scheme (MCS) and the minimal number of repetitions while guaranteeing the block error rate (BLER) requirements.…”

Section: Related Work and Contributionsmentioning

confidence: 99%

“…The authors in [ 14 ] proposed a 2D link adaptation procedure that selects the suitable MCS level and repetition number determination saving the power and increasing the spectral efficiency for low complexity MTC. However, neither of [ 11 , 12 , 13 ] or [ 14 ] examined the RU type allocation as an additional important dimension for uplink link adaptation. The works [ 15 , 16 ] considered both bandwidth allocation and repetition determination in addition to the MCS selection in their link adaptation procedures.…”

Section: Related Work and Contributionsmentioning

confidence: 99%

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Energy-Efficient Uplink Scheduling in Narrowband IoT

Yassine

Helou

Lahoud

et al. 2022

Sensors

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This paper presents a detailed study of uplink scheduling in narrowband internet of things (NB-IoT) networks. As NB-IoT devices need a long battery lifetime, we aim to maximize energy efficiency while satisfying the main requirements for NB-IoT devices. Also, as the NB-IoT scheduling problem is divided into link adaptation problem and resource allocation problem, this paper investigates the correlation between these two problems. Accordingly, we propose two scheduling schemes: the joint scheduling scheme, where the two problems are combined as one optimization problem, and the successive scheduling scheme that manages each problem separately but successively. Each scheme aims to maximize energy efficiency while achieving reliable transmission, satisfying delay requirements, and guaranteeing resource allocation specifications. Also, we investigate the impact of the selected devices to be served on the total energy efficiency. Accordingly, we propose two device selection techniques to maximize the total energy efficiency. The first technique exhaustively searches for the optimal devices, while the second sorts the devices based on a proposed priority score. The simulation results compare the successive and the joint scheduling schemes. The results show that the joint scheme outperforms the successive scheme in terms of energy efficiency and the number of served devices but with higher complexity. Also, the results highlight the impact of each proposed selection technique on the scheduling schemes’ performance.

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A Simple and Efficient Link Adaptation Method for Narrowband Internet of Things

Cited by 7 publications

References 5 publications

Building Upon NB-IoT Networks: A Roadmap Towards 5G New Radio Networks

Building Upon NB-IoT Networks: A Roadmap Towards 5G New Radio Networks

A Four-Sided Matching Game for Energy-Efficient Scheduling in Narrowband-IoT Networks

Energy-Efficient Uplink Scheduling in Narrowband IoT

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