Throughput optimization for massive random access of M2M communications in LTE networks

Zhan, Wen; Dai, Lin

doi:10.1109/icc.2017.7996628

Cited by 8 publications

(3 citation statements)

References 16 publications

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“…1, which is inspired by the one proposed in [4]. It is also similar to the model used in [8], but where we have neglected the probability to reach the maximum number of repetitions.…”

Section: System Modelmentioning

confidence: 95%

“…Among others, the evolved Node B (eNB) can prevent devices from accessing the network during predefined periods [3] or can adapt the backoff interval [4]. Another efficient solution to reduce congestion in LTE-MTC lies in adapting the Request Access Rate.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, a similar modeling has been proposed in [8] for LTE MTC. In [4], this modeling is 1 Herein, we use the term device to refer to User Equipment (UEs).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Latency Efficient Request Access Rate for Congestion Reduction in LTE MTC

Bonnefoi

Maciel

Fernandes

2018

2018 25th International Conference on Telecommunications (ICT)

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Abstract-The development of Machine-Type Communication (MTC) in the Long Term Evolution (LTE) standard can lead to an overuse of the Physical Random Access Channel (PRACH). An efficient way to avoid it consists in reducing the number of requests done by end-devices. In this paper, we first study the probability of collision in a congested LTE-MTC network. As a second step, we analyze the latency in the network as a function of the request access rate. Then, we propose a closed-form for a sub-optimal request access rate. We finally conduct numerical simulations in order to assess the performance of the proposed approximation.

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“…1, which is inspired by the one proposed in [4]. It is also similar to the model used in [8], but where we have neglected the probability to reach the maximum number of repetitions.…”

Section: System Modelmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%