An M2M cognitive MAC protocol for overlaid OFDMA environments

Tarchi, Daniele; Fantacci, Romano; Marabissi, Dania

doi:10.1002/ett.2955

Cited by 8 publications

(6 citation statements)

References 33 publications

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“…In CM2M networks, the primary network, which is a cellular network, shares the spectrum with machine type devices [13]. By exploiting the first proposed scheme, some of the delay intolerant machine type devices such as e-health sensors can be prioritized over the other delay tolerant machines in using the spectrum of the cellular network opportunistically.…”

Section: Eai Endorsed Transactions Onmentioning

confidence: 99%

A Novel Buffer-Aided Medium Access Control for Multichannel Cognitive Radio Networks

Darabi¹,

Maham²

2017

EAI Endorsed Transactions on Wireless Spectrum

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In this paper, a novel context aware medium access control scheme is proposed for multichannel buffer-aided cognitive networks. The proposed scheme allows management of the delay more efficiently by exploiting the packets' context. In the proposed multiple access policy, two different context aware approaches for packet prioritization are presented. In the first method, more delay sensitive packets in the primary and secondary networks are given a higher priority compared to delay tolerant packets. In the second proposed prioritization method, shorter packets in the primary and secondary networks are given a higher priority compared to longer packets and are transmitted over channels with lower service time. The average waiting time of the packets and the primary and secondary throughput are derived. Simulation results show that the proposed schemes improve the average waiting time of packets and average throughput compared to other existing MAC policies in cognitive networks.

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Section: Eai Endorsed Transactions Onmentioning

confidence: 99%

A Novel Buffer-Aided Medium Access Control for Multichannel Cognitive Radio Networks

Darabi¹,

Maham²

2017

EAI Endorsed Transactions on Wireless Spectrum

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“…Fig. 2 illustrates the MTDs' sum-rate of our proposed protocol, the proposed policies in [2], [3], and [7] versus the MTDs' power budget, P t , for a CM2M with five MTDs. As this figure shows, by increasing the MTDs' power budget, the MTDs' sum-rate is enhanced.…”

Section: M + 1}mentioning

confidence: 99%

“…3, the MTDs' sum-rate of our introduced scheme, the proposed protocols in [2], [3], and [7] are shown versus the number of MTDs, M . As can be seen from Fig.…”

Section: M + 1}mentioning

confidence: 99%

“…In [3], a cognitive and opportunistic relay policy is introduced for CM2M network in order to sense the spectrum used by a cellular network, to cancel the interference, and to apply opportunistic relay selection. In [7], a new medium access control protocol, called data aided cognitive technique, is proposed for the CM2M network in order to improve the sum-rate of the MTDs while the overall delay of system is managed.…”

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confidence: 99%

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Joint machine-type device selection and power allocation for buffer-aided cognitive M2M communication

Darabi

Maham

Saad

et al. 2015

2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Abstract-In this paper, a cognitive machine-to-machine (M2M) communication network is considered, in which a cellular network shares the spectrum with the M2M communication network with M machine-type devices (MTDs), one half-duplex relay, and one MTD gateway for data gathering. One key challenge is that in the future 5G wireless networks, there will be billions of those small MTDs, and therefore, a MTD selection protocol is required for managing data transmission between MTDs. A joint buffer-aided MTD selection and power allocation protocol is proposed to maximize the MTDs' sum-rate provided that the induced interference to the cellular network is limited. In particular, in the proposed scheme, at each time slot and each subcarrier, the cognitive M2M network optimally decides on whether to be silent or to select either the relay or one of the MTDs for data transmission. To this end, for each MTD, there exists a buffer at the relay to avoid data loss. The closed-form expressions for the power coefficients of MTDs are calculated. Simulation results show that the proposed policy improves the sum-rate of the CM2M network in comparison with the other proposed schemes for M2M communication without buffer.

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“…When the impeller is damaged, the centrifugal pump will also reduce its life. If it is not discovered and repaired in time, a major accident is likely to occur [9,10]. Then the impeller, an important part of the centrifugal pump, has high practical significance for its fault diagnosis research.…”

Section: Introductionmentioning

confidence: 99%

Power Quality Improvement of a Hybrid Renewable Energy Sources Based Standalone System Using Neuro-Fuzzy Controllers

Chen

Miao

Chen

et al. 2023

DGAEJ

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The fault diagnosis model for nonstationary mechanical system is proposed in the condition monitoring. The algorithm with an improved particle filter and Back Propagation for intelligent fault identification is developed, which is used to reduce the noise of the experimental vibration signals to delete the negative effect of the noise on the feature extraction of the original vibration signal. The proposed integrated method is applied for the trouble shoot of the impellers inside the centrifugal pump. The principal component analysis (PCA) method optimizes the clean vibration signal to choose the optimal eigenvalue features.The constructed BP neural network is trained to get the condition models for fault identification. The proposed novel model is compared with the BP neural network based on traditional PF and particle swarm optimization particle filter (PSO-PF) algorithm. The BP neural network diagnosis method based on the improved PF algorithm is much better for the integrity assessment of the centrifugal pump impeller. This method is much significant for big data mining in the fault diagnosis method of the complex mechanical system.

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An M2M cognitive MAC protocol for overlaid OFDMA environments

Cited by 8 publications

References 33 publications

A Novel Buffer-Aided Medium Access Control for Multichannel Cognitive Radio Networks

A Novel Buffer-Aided Medium Access Control for Multichannel Cognitive Radio Networks

Joint machine-type device selection and power allocation for buffer-aided cognitive M2M communication

Power Quality Improvement of a Hybrid Renewable Energy Sources Based Standalone System Using Neuro-Fuzzy Controllers

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