Two-Stage Resource Allocation for Random Access M2M Communications in LTE Network

Morvari, Faezeh; Ghasemi, Abdorasoul

doi:10.1109/lcomm.2016.2539159

Cited by 35 publications

(23 citation statements)

References 6 publications

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“…Except for ACB scheme, rational allocation of RACH resources is also an effective solution to tackle the RAN overload [ 19 , 20 , 21 ]. In [ 19 ], the authors proposed a dynamic RACH preamble allocation scheme based on the value of the ACB factor.…”

Section: Preliminariesmentioning

confidence: 99%

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Dynamic Resource Allocation and Access Class Barring Scheme for Delay-Sensitive Devices in Machine to Machine (M2M) Communications

Cao

Wang

2017

Sensors

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Supporting simultaneous access of machine-type devices is a critical challenge in machine-to-machine (M2M) communications. In this paper, we propose an optimal scheme to dynamically adjust the Access Class Barring (ACB) factor and the number of random access channel (RACH) resources for clustered machine-to-machine (M2M) communications, in which Delay-Sensitive (DS) devices coexist with Delay-Tolerant (DT) ones. In M2M communications, since delay-sensitive devices share random access resources with delay-tolerant devices, reducing the resources consumed by delay-sensitive devices means that there will be more resources available to delay-tolerant ones. Our goal is to optimize the random access scheme, which can not only satisfy the requirements of delay-sensitive devices, but also take the communication quality of delay-tolerant ones into consideration. We discuss this problem from the perspective of delay-sensitive services by adjusting the resource allocation and ACB scheme for these devices dynamically. Simulation results show that our proposed scheme realizes good performance in satisfying the delay-sensitive services as well as increasing the utilization rate of the random access resources allocated to them.

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Section: Preliminariesmentioning

confidence: 99%

“…In [ 19 ], the authors proposed a dynamic RACH preamble allocation scheme based on the value of the ACB factor. A two stage resource allocation scheme is presented by [ 20 ]. By setting two layer ACB scheme, the proposed scheme can remarkably improve resource efficiency.…”

Section: Preliminariesmentioning

confidence: 99%

Dynamic Resource Allocation and Access Class Barring Scheme for Delay-Sensitive Devices in Machine to Machine (M2M) Communications

Cao

Wang

2017

Sensors

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“…In contrast, in spectrum sharing, all resource blocks are shared between UEs and IoT devices. To control congestion, several techniques have emerged such as access class barring (ACB) [13]- [15], randomized back-off schemes [16], and group paging [17]. These methods, nevertheless, do not address the cochannel interference after access requests are granted.…”

Section: A Related Workmentioning

confidence: 99%

Energy-efficient massive cellular IoT shared spectrum access via mobile data aggregators

Hattab

Čabrić

2017

2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

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Providing connectivity to a massive number of sensors and machines, commonly known as massive Internet-of-things (IoT), has become a critical use case for fifth-generation new radio (5G-NR).Nevertheless, existing transmission protocols, e.g., orthogonal allocation or spectrum sharing, can be detrimental for cellular users (UEs) and IoT devices due to increased congestion and interference or resource splitting. To this end, we consider to equip cellular networks with unmanned aerial vehicles (UAVs), e.g., drones, acting as mobile data aggregators. Specifically, we propose a transmission protocol for shared spectrum access between IoT devices and UEs, where IoT traffic is collected by drones and then aggregated to the cellular network. Using stochastic geometry, we analyze the performance of the proposed protocol and compare it with existing ones. In addition, we present a stochastic optimization framework that optimizes the transmit power of IoT devices to maximize the average energy-efficiency (EE) of a typical IoT device subject to interference constraints on UEs. Simulation results are presented to validate the effectiveness of the proposed transmission protocol and power control, showing significant improvements of the EE of IoT devices with minimal degradation on the UE spectral efficiency when compared to existing transmission schemes.

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“…A number of resource allocation schemes have been developed to divide resources between the four-message handshake procedure and the data transmission phase [19]- [22]. In [23], a two-stage resource allocation scheme was proposed, and it allows MTCDs that fail to pass the ACB check in the first stage to contend for the remaining resources and thus improve the resource utilization efficiency. Moreover, since different MTCDs usually have diverse Quality-of-Service (QoS) requirements, such as latency, outage probability, and reliability, grouping multiple MTCDs having similar QoS requirements into one cluster is beneficial to increase the successful access probability.…”

Section: Introductionmentioning

confidence: 99%

Throughput-Oriented Non-Orthogonal Random Access Scheme for Massive MTC Networks

Wang

Yang

et al. 2020

IEEE Trans. Commun.

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Machine-type communications (MTC) technology, which enables direct communications among devices, plays an important role in realizing Internet-of-Things. However, a large number of MTC devices can cause severe collisions. As a result, the network throughput is decreased and the access delay is increased. To address this issue, a throughput-oriented non-orthogonal random access (NORA) scheme is proposed for massive machine-type communications (mMTC) networks. Specifically, by employing the technique of tagged preambles (PAs), multiple MTC devices (MTCDs) choosing the same PA can be distinguished and regarded as a non-orthogonal multiple access (NOMA) group, which enables multiple MTCDs to share the same physical uplink shared channel for transmissions by multiplexing in the power domain. The Sukhatme's classic theory and the characteristic function approach are adopted to formulate an optimization problem. The aim is to maximize the throughput subject to the constraints on the power back-off factor, the number of MTCDs included in a NOMA group, and the successful transmission probability. Based on the particle swarm optimization (PSO) algorithm, the formulated optimization problem is efficiently solved. The derived solution can be used to adjust the access class barring factor such that more MTCDs can obtain the access opportunities. Moreover, a lowcomplexity suboptimal solution is also developed, which can achieve near-PSO performance under high data rate requirement. Simulation results show that the proposed scheme can efficiently improve the network performance and comparison is made with the existing schemes. Index Terms-Massive machine-type communications (MTC) networks, non-orthogonal random access, power back-off.

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Two-Stage Resource Allocation for Random Access M2M Communications in LTE Network

Cited by 35 publications

References 6 publications

Dynamic Resource Allocation and Access Class Barring Scheme for Delay-Sensitive Devices in Machine to Machine (M2M) Communications

Dynamic Resource Allocation and Access Class Barring Scheme for Delay-Sensitive Devices in Machine to Machine (M2M) Communications

Energy-efficient massive cellular IoT shared spectrum access via mobile data aggregators

Throughput-Oriented Non-Orthogonal Random Access Scheme for Massive MTC Networks

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