LTE dynamic scheduling scheme for massive M2M and H2H communication

The Machine-to-Machine (M2M) communication refers to an autonomous communication among devices that aims for a massive number of connected devices. M2M communication can support ubiquitous communication and full mechanical automation, and it will change everything from industry to ourselves. Recent developments in communication technology make Long Term Evolution (LTE)/Long Term Evolution-Advance (LTE-A) a promising technology for supporting M2M communication. LTE can support the diverse characteristic of M2M communication due to its IP connectivity, coverage area, and scalability. Therefore, the LTE schedulers should satisfy the need for M2M communication.Motivated from these facts, in this paper, we present a survey on classification of LTE / LTE-A scheduling methodologies from the perspective of M2M communication. We classify the schedulers based on their objectives, such as energy efficiency, spectrum efficiency, group-based, and Quality-of-Service (QoS) support for Machine Type Communication Devices (MTCDs). We also highlight the scope of future research direction for the scheduling work.

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“…Fig. 3 shows the M2M communication system architecture as specified by the European Telecommunications Standards Institute (ETSI) [33]- [35].…”

Section: A M2m Communication System Architecturementioning

confidence: 99%

“…Alaa et al[35] proposed a non-preemptive queuing model and investigated the scheduling performance for different QoS classes of M2M and H2H device with dynamic access grant time interval scheduling. The authors use the M/G/c/c model to improve bandwidth utilization and QoS satisfaction.…”

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confidence: 99%

A Survey on LTE/LTE-A Radio Resource Allocation Techniques for Machine-to-Machine Communication for B5G Networks

et al. 2021

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“…The study of Chakrapani has described an efficient resource scheduling framework model, which is collaborate with narrowband internet things and improved machine type communication and also using two algorithmic approaches. The proposed technique reduces the complexity of limited bandwidth and improve the coverage LTE network [48]. The outcomes shows that algorithmic approaches provides important profits increase to 80% over a loop based scheduling techniques and also the presented algorithmic approach are generic and appropriate to enhanced narrowband and user equipment implementation [49].…”

Section: 54 Aptikom J Csitmentioning

confidence: 99%

“…Focuses only on downlink transmission Alaa et al [48] dynamic access grant time interval control scheduling Reduce delay and low percentage of packet loss.…”

Section: Narrowed Test Environmentmentioning

confidence: 99%

A research survey on scheduling techniques in lte-based network and its state of art

Srinivasa¹,

A.R2²

2020

csit

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Scarce wireless resources, lead to development of cognitive radio network as a solution to unlicensed users communication in the licensed frequency band. In response to the behavior of licensed users communication, unlicensed users communication need to change from one frequency band to another band. In this communication paradigm, the performance of unlicensed users transmission control protocol gets degraded due to the features of cognitive radio network. To overcome this, several authors suggested quite a few modifications in the existing wireless transport protocol for cognitive radio network environment. This paper gives an overview of different transport protocols used for unlicensed users’ communication in cognitive radio networks.

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“…It is an important enhancement in an intelligent grid which based on LTE network. Alaa et al [48] carried out the work on a machine to machine delay sensitive and lack of standardization problems in LTE network system. So authors have presented a technique a dynamic access grant time interval control scheduling approach which is based on the nonpreemptive queuing framework.…”

Section: Research Towards Scheduling Problemsmentioning

confidence: 99%

Scaling Effectiveness in Existing Research-based Scheduling Practices in LTE-based Network

K¹,

Kumar²

2018

CAE

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With the increasing demands of the communication performance over mobile networks, Long-Term Evolution has been observed to offer a significant contributory role by facilitating higher data transmission rates to its dynamic users. One of the core operations in the LTE-based network is scheduling which directly governs the part of communication in the presence of significant, small, medium traffic. Although there are beneficial advantages of LTE towards its catering up network demands, it too encounters some potential and unreported problems in the presence of large truck with the uncertainty of its associated load. Hence, the role of scheduling becomes most essential in this regards. This paper reviews some of the signatory work carried out in recent time and explored their contribution by measure the score of advantages as well as limitation associated with it. The paper also contributes by providing the crisp points that have been identified as the open research issues in the shape of research gap towards scheduling techniques in LTE.

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LTE dynamic scheduling scheme for massive M2M and H2H communication

Cited by 6 publications

References 8 publications

A Survey on LTE/LTE-A Radio Resource Allocation Techniques for Machine-to-Machine Communication for B5G Networks

A Survey on LTE/LTE-A Radio Resource Allocation Techniques for Machine-to-Machine Communication for B5G Networks

A research survey on scheduling techniques in lte-based network and its state of art

Scaling Effectiveness in Existing Research-based Scheduling Practices in LTE-based Network

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