A Statistical Priority-Based Scheduling Metric for M2M Communications in LTE Networks

Mostafa, Ahmed Elhamy; Gadallah, Yasser

doi:10.1109/access.2017.2700409

Cited by 34 publications

(22 citation statements)

References 20 publications

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“…A statistical priority approach is used as the scheduling algorithm to define the scarce radio resources to MTCDs. The results offer that the presented method achieves great performance then other baseline schedulers in such a way that it having the least number of deadline misses for critical data packets [37]. Pan et al, has carried out to work on improve the network traffic and enhance the network capability for LTE-advanced (LTE-A) networks [38].…”

Section: 53 Aptikom J Csitmentioning

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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Section: 53 Aptikom J Csitmentioning

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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“…In this section, we review existing works addressing uplink scheduling issues due to incorporation of M2M in LTE systems. In [10], authors introduce a novel M2M scheduling metric that we term the ``statistical priority''. Statistical priority is a term that indicates the uniqueness of the information carried by certain data packets sent by Machine Type Communications Devices (MTCDs).…”

Section: Related Workmentioning

confidence: 99%

QoS hybrid uplink scheduler based on service type for M2M communications in LTE networks

Ouaissa

Rhattoy

2019

IJEECS

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<span lang="EN-US">The introduction of Machine-to-Machine (M2M) communications in cellular networks creates a new set of challenges because of the unique service requirements and features of M2M devices. One of these challenges is the management of radio resources, especially on the uplink because of the unfairness and poor performance that occurs when allocating resources to users. Long Term Evolution (LTE) and LTE-Advanced (LTE-A) are excellent candidates for supporting M2M communications because of their native IP connectivity and scalability for a variety of devices. Therefore, LTE schedulers should be able to meet the needs of M2M devices such as time constraints and specific Quality of Service (QoS) requirements. In this paper, these constraints are studied and analyzed, focusing on three schedulers; they are Round Robin (RR), First Maximum Expansion (FME) and Maximum Throughput (MT). These methods do not provide QoS to users who use different types of traffic flows. The solution proposed in this work is a hybrid model between two schedulers each of them is the best scheduling solution for the real-time service and the other for the non-real-time service, in order to meet QoS criteria maximizing throughput and minimizing packet loss. Video and voip were selected as real-time traffic and best effort for non-real time. The simulations results show that the proposed scheduler reaches the lowest Packet Loss Rate (PLR), delivering highest throughput and goodput among the other strategies.</span>

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“…Many studies have addressed radio resource allocation for M2M devices in LTE/LTE-A technology [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29].…”

Section: Related Workmentioning

confidence: 99%

“…In [20], Mostafa et al proposed a statistical priority scheduler which allocates RBs to an M2M device having the lowest statistical priority metric. This metric is a term that indicates the uniqueness of the information carried by certain data packets sent by machine type communications devices (MTCDs).…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Resource Allocation for M2M Devices in LTE/LTE-A

Rekhissa

Belleudy

Bessaguet³

2019

Sensors

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Machine-to-machine (M2M) communication consists of the communication between intelligent devices without human intervention. Long term evolution (LTE) and Long-term evolution-advanced (LTE-A) cellular networks technologies are excellent candidates to support M2M communication as they offer high data rates, low latencies, high capacities and more flexibility. However, M2M communication over LTE/LTE-A networks faces some challenges. One of these challenges is the management of resource radios especially on the uplink. LTE schedulers should be able to meet the needs of M2M devices, such as power management and the support of large number of devices, in addition to handling both human-to-human (H2H) and M2M communications. Motivated by the fundamental requirement of extending the battery lives of M2M devices and managing an LTE network system, including both M2M devices and H2H users, in this paper, two channel-aware scheduling algorithms on the uplink are proposed. Both of them consider the coexistence of H2H and M2M communications and aim to reduce energy consumption in M2M devices. The first algorithm, called FDPS-carrier-by-carrier modified (CBC-M), takes into account channel quality and power consumption while allocating radio resources. Our second algorithm, recursive maximum expansion modified (RME-M), offers a balance between delay requirement and energy consumption. Depending on the system requirements, RME-M considers both channel quality and system deadlines in an adjustable manner according to M2M devices needs. Simulation results show that the proposed schedulers outperform the round-robin scheduler in terms of energy efficiency and have better cell spectral efficiency.

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A Statistical Priority-Based Scheduling Metric for M2M Communications in LTE Networks

Cited by 34 publications

References 20 publications

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

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

QoS hybrid uplink scheduler based on service type for M2M communications in LTE networks

Energy Efficient Resource Allocation for M2M Devices in LTE/LTE-A

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