Probabilistic Rateless Multiple Access for Machine-to-Machine Communication

Shirvanimoghaddam, Mahyar; Li, Yonghui; Dohler, Mischa; Vucetic, Branka; Feng, Shulan

doi:10.1109/twc.2015.2460254

Cited by 57 publications

(36 citation statements)

References 33 publications

(62 reference statements)

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“…As the average number of transmissions is related to the energy expenditure, we say that the ACK-All scheme is more energy efficient in this case. Nevertheless, we can see that the average number of transmissions for both RMA schemes is quite comparable to the number of transmissions allowed in cellular access networks over the RACH [6] which further supports RMA as a good candidate for future M2M communication networks.…”

Section: Special Case Of R =mentioning

confidence: 52%

“…An extension of this work can be found in [5] where this assumption is dropped and a generalized access management scheme was proposed with an adaptive resource allocation scheme based on the incoming traffic. In [6], devices with the same QoS requirement are scheduled to transmit over the same resources simultaneously. Using well-designed codes, the superposed codewords can be reliably decoded at the base station (BS) allowing for a more efficient use of resources and reduction in the number of retransmissions at the RACH.…”

Section: A Related Workmentioning

confidence: 99%

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Random Access for M2M Communications With QoS Guarantees

Abbas

Shirvanimoghaddam

et al. 2017

IEEE Trans. Commun.

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We propose a novel random multiple access (RMA) scheme with quality of service (QoS) guarantees for machine-tomachine (M2M) communications. We consider a slotted uncoordinated data transmission period during which machine type communication (MTC) devices transmit over the same radio channel. Based on the latency requirements, MTC devices are divided into groups of different sizes, and the transmission frame is divided into subframes of different lengths. In each subframe, each group is assigned an access probability based on which an MTC device decides to transmit replicas of its packet or remain silent. The base station (BS) employs successive interference cancellation (SIC) to recover all the superposed packets. We derive the closed form expressions for the average probability of device resolution for each group, and we use these expressions to design the access probabilities. The accuracy of the expressions is validated through Monte Carlo simulations. We show that the designed access probabilities can guarantee the QoS requirements with high reliability and high energy efficiency. Finally, we show that RMA can outperform standard coordinated access schemes as well as some of the recently proposed M2M access schemes for cellular networks.

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Section: Special Case Of R =mentioning

confidence: 52%

Section: A Related Workmentioning

confidence: 99%

Random Access for M2M Communications With QoS Guarantees

Abbas

Shirvanimoghaddam

et al. 2017

IEEE Trans. Commun.

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“…17) Non-Aloha-based random access: The limited number of RA preambles is the main bottleneck of slotted-Alohabased RA for massive MTC in LTE networks. Recently, the authors in [15] proposed a RA model based on the capacityapproaching Analog Fountain Code (AFC). AFC-based RA combines multiple access with resource allocation.…”

Section: Non-3gpp Random Access Solutionsmentioning

confidence: 99%

“…In this article, we provide a review of these proposals to solve the congestion problem during random access in terms of five aforementioned performance metrics. Some of the proposals are also discussed in [5]- [15]. Nonetheless, most of the solutions are based on the collision avoidance technique, which simply restrict the arrival rate of access attempts.…”

Section: Introductionmentioning

confidence: 99%

LTE/LTE-A Random Access for Massive Machine-Type Communications in Smart Cities

2017

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Abstract-Massive Machine-Type Communications (MTC) over cellular networks is expected to be an integral part of wireless "Smart City" applications. The Long Term Evolution (LTE)/LTE-Advanced (LTE-A) technology is a major candidate for provisioning of MTC applications. However, due to the diverse characteristics of payload size, transmission periodicity, power efficiency, and quality of service (QoS) requirement, MTC poses huge challenges to LTE/LTE-A technologies. In particular, efficient management of massive random access is one of the most critical challenges. In case of massive random access attempts, the probability of preamble collision drastically increases, thus the performance of LTE/LTE-A random access degrades sharply. In this context, this article reviews the current state-of-the-art proposals to control massive random access of MTC devices in LTE/LTE-A networks. The proposals are compared in terms of five major metrics, namely, access delay, access success rate, power efficiency, QoS guarantee, and the effect on Human-Type Communications (HTC). To this end, we propose a novel collision resolution random access model for massive MTC over LTE/LTE-A. Our proposed model basically resolves the preamble collisions instead of avoidance, and targets to manage massive and bursty access attempts. Simulations of our proposed model show huge improvements in random access success rate compared to the standard slotted-Aloha-based models. The new model can also coexist with existing LTE/LTE-A Medium Access Control (MAC) protocol, and ensure high reliability and time-efficient network access.

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“…These include, sporadic transmission of small data bursts (only few kbs), massive number of devices, and low power consumption to extend battery life. Moreover, M2M devices and applications have diverse quality-of-service (QoS) requirements and traffic patterns [9]. For these reasons, leading standardization bodies, such as 3GPP, have commenced work on satisfying these and other constraints while not sacrificing current cellular system usage for human-based applications [10].…”

Section: Introductionmentioning

confidence: 99%

Massive Multiple Access Based on Superposition Raptor Codes for Cellular M2M Communications

Shirvanimoghaddam

Dohler

Johnson

2017

IEEE Trans. Wireless Commun.

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Machine-to-machine (M2M) wireless systems aim to provide ubiquitous connectivity between machine type communication (MTC) devices without any human intervention. Given the exponential growth of MTC traffic, it is of utmost importance to ensure that future wireless standards are capable of handling this traffic. In this paper, we focus on the design of a very efficient massive access strategy for highly dense cellular networks with M2M communications. Several MTC devices are allowed to simultaneously transmit at the same resource block by incorporating Raptor codes and superposition modulation. This significantly reduces the access delay and improves the achievable system throughput. A simple yet efficient random access strategy is proposed to only detect the selected preambles and the number of devices which have chosen them. No device identification is needed in the random access phase which significantly reduces the signalling overhead. The proposed scheme is analyzed and the maximum number of MTC devices that can be supported in a resource block is characterized as a function of the message length, number of available resources, and the number of preambles. Simulation results show that the proposed scheme can effectively support a massive number of M2M devices for a limited number of available resources, when the message size is small.

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Probabilistic Rateless Multiple Access for Machine-to-Machine Communication

Cited by 57 publications

References 33 publications

Random Access for M2M Communications With QoS Guarantees

Random Access for M2M Communications With QoS Guarantees

LTE/LTE-A Random Access for Massive Machine-Type Communications in Smart Cities

Massive Multiple Access Based on Superposition Raptor Codes for Cellular M2M Communications

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