Radio Resource Management in Machine-to-Machine Communications—A Survey

Xia, Nian; Chen, Hsiao‐Hwa; Yang, Chu-Sing

doi:10.1109/comst.2017.2765344

Cited by 129 publications

(80 citation statements)

References 200 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Today, 3G/4G technologies aim to provide users with minimum latency and high data rates for multimedia applications. For this purpose, most of IoT applications were used in the GPRS networks [49][50][51]. GPRS is a 2.5G mobile communication that provides a data rate of 56 to 114 kbps with a range up to 26 Km.…”

Section: A Lpwan and Cellular Networkmentioning

confidence: 99%

Internet of Mobile Things: Overview of LoRaWAN, DASH7, and NB-IoT in LPWANs Standards and Supported Mobility

Ayoub

Samhat

Nouvel

et al. 2019

IEEE Commun. Surv. Tutorials

273

151

View full text Add to dashboard Cite

Low-power Wide Area Networks (LPWANs) constitute a type of networks which is used to connect things to the Internet from a wide variety of sectors. These types of technologies provide the Internet of Things (IoT) devices with the ability to transmit few bytes of data for long ranges, taking into consideration minimum power consumption. In parallel, IoT applications will cover a wide range of human and life needs from smart environments (cities, home, transportation etc.) to health and quality of life. Among these popular LPWANs technologies, we have identified the unlicensed frequency band (LoRa, DASH7, SigFox, Wi-SUN, etc.), and the licensed frequency band standards (NB-IoT, LTE Cat-M, EC-GSM-IoT, etc.). In general, both types of standards only consider fixed interconnected things, and less attention has been provided to the mobility of the things or devices. In this paper, we address the mobility of the things and the connectivity in each of the three LPWAN standards: LoRaWAN, DASH7, and NB-IoT. In particular, we show how the mobility of things can be achieved when transmitting and receiving data. Then, we provide a general and technical comparison for the three standards. Finally, we illustrate several application scenarios where the mobility is required, and we show how to select the most suited standard. We also discuss the research challenges and perspectives.

show abstract

Section: A Lpwan and Cellular Networkmentioning

confidence: 99%

Internet of Mobile Things: Overview of LoRaWAN, DASH7, and NB-IoT in LPWANs Standards and Supported Mobility

Ayoub

Samhat

Nouvel

et al. 2019

IEEE Commun. Surv. Tutorials

273

151

View full text Add to dashboard Cite

show abstract

“…C6 and C7 imply that mMTC and URLLC devices can be assigned to the k th rank of the c th cluster if all the lower ranks are already allocated to other users. C8 and C9 are designed to guarantee that each device (mMTC and URLLC) is allocated to only one cluster and one specific order 9 within the cluster. C10 specifies that each rank of a cluster cannot be allocated to both mMTC and URLLC devices.…”

Section: Symbols Descriptions U (M)mentioning

confidence: 99%

NOMA Aided Narrowband IoT for Machine Type Communications With User Clustering

Shahini

Ansari

2019

IEEE Internet Things J.

View full text Add to dashboard Cite

To support Machine Type Communications (MTC) in next generation mobile networks, NarrowBand-IoT (NB-IoT) has been released by the Third Generation Partnership Project (3GPP) as a promising solution to provide extended coverage and low energy consumption for low cost MTC devices. However, the existing Orthogonal Multiple Access (OMA) scheme in NB-IoT cannot provide connectivity for a massive number of MTC devices. In parallel with the development of NB-IoT, Non-Orthogonal Multiple Access (NOMA), introduced for the fifth generation wireless networks, is deemed to significantly improve the network capacity by providing massive connectivity through sharing the same spectral resources. To leverage NOMA in the context of NB-IoT, we propose a power domain NOMA scheme with user clustering for an NB-IoT system. In particular, the MTC devices are assigned to different ranks within the NOMA clusters where they transmit over the same frequency resources. Then, we formulate an optimization problem to maximize the total throughput of the network by optimizing the resource allocation of MTC devices and NOMA clustering while satisfying the transmission power and quality of service requirements. We prove the NP-hardness of the proposed optimization problem. We further design an efficient heuristic algorithm to solve the proposed optimization problem by jointly optimizing NOMA clustering and resource allocation of MTC devices. Furthermore, we prove that the reduced optimization problem of power control is a convex optimization task. Simulation results are presented to demonstrate the efficiency of the proposed scheme.

show abstract

“…R BLE is the data transfer rate between Raspberry Pi and sensor node, R S is the data generation rate of sensor node and D is the distance between two sensor nodes. A is used for simplify the equation (5). Table I summarizes parameters we used in the experiments in order to obtain the simulation results.…”

Section: B Communication Protocolmentioning

confidence: 99%

Enabling End-to-End Secure Connectivity for Low-Power IoT Devices with UAVs

Rajakaruna

Manzoor

Porambage

et al. 2019

2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)

View full text Add to dashboard Cite

The proliferation of the Internet of Things (IoT) technologies have strengthen the self-monitoring and autonomous characteristics of the sensor networks deployed in numerous application areas. The recent developments of the edge computing paradigms have also enabled on-site processing and managing the capabilities of sensor networks. In this paper, we introduce a system model that enables end-to-end secure connectivity between low-power IoT devices and UAVs, that helps to manage the data processing tasks of heterogeneous wireless sensor networks. The performance of proposed solution is analyzed by using simulation results. Moreover, in order to demonstrate the practical usability of the proposed solution, the prototype implementation is presented using commercial off-the-shelf devices.

show abstract

Radio Resource Management in Machine-to-Machine Communications—A Survey

Cited by 129 publications

References 200 publications

Internet of Mobile Things: Overview of LoRaWAN, DASH7, and NB-IoT in LPWANs Standards and Supported Mobility

Internet of Mobile Things: Overview of LoRaWAN, DASH7, and NB-IoT in LPWANs Standards and Supported Mobility

NOMA Aided Narrowband IoT for Machine Type Communications With User Clustering

Enabling End-to-End Secure Connectivity for Low-Power IoT Devices with UAVs

Contact Info

Product

Resources

About