Massive Non-Orthogonal Multiple Access for Cellular IoT: Potentials and Limitations

Shirvanimoghaddam, Mahyar; Dohler, Mischa; Johnson, Sarah J.

doi:10.1109/mcom.2017.1600618

Cited by 369 publications

(245 citation statements)

References 13 publications

Supporting

Mentioning

245

Contrasting

Order By: Relevance

“…28 However, it is impossible to perform WPT and WIT operations on the same received signals. Shirvanimoghaddam et al 34,35 designed a random NOMA strategy for massive IoT networks where multiple devices are allowed to transmit data over the same sub-band. Hence, researchers have proposed many methods for separating the two signals, such as time switching, power splitting, antenna switching, and separate receiver.…”

Section: Related Workmentioning

confidence: 99%

“…31,32 For example, Zhang et al 33 proposed an energy-efficient transmission method for an IoT system with the NOMA technology. Shirvanimoghaddam et al 34,35 designed a random NOMA strategy for massive IoT networks where multiple devices are allowed to transmit data over the same sub-band. Shahini et al 36 presented a user clustering method for NOMA-based NB-IoTs, with the goal of maximizing the network throughput.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Energy consumption optimization for self‐powered IoT networks with non‐orthogonal multiple access

Luo

et al. 2019

Int J Communication

View full text Add to dashboard Cite

Energy harvesting (EH) has been considered as one of the promising technologies to power Internet of Things (IoT) devices in self-powered IoT networks. By adopting a typical harvest-then-transmit mode, IoT devices with the EH technology first harvest energy by using wireless power transfer (WPT) and then carry out wireless information transmission (WIT), which leads to the coordination between WPT and WIT. In this paper, we consider optimizing energy consumption of periodical data collection in a self-powered IoT network with non-orthogonal multiple access (NOMA). Particularly, we take into account time allocation for the WPT and WIT stages, node deployment, and constraints for data transmission. Moreover, to thoroughly explore the impact of different multiple access methods, we theoretically analyse and compare the performance achieved by employing NOMA, frequency division multiple access (FDMA), and time division multiple access (TDMA) in the considered IoT network. To validate the performance of the proposed method, we conduct extensive simulations and show that the NOMA outperforms the FDMA and TDMA in terms of energy consumption and transmission power. KEYWORDSInternet of Things (IoT), non-orthogonal multiple access, wireless information transmission, wireless power transfer Int J Commun Syst. 2020;33:e4174.wileyonlinelibrary.com/journal/dac

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Energy consumption optimization for self‐powered IoT networks with non‐orthogonal multiple access

Luo

et al. 2019

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Furthermore, it is expected that they are able to support low latency for delay-sensitive applications such as smart vehicles and collaborative IoT [33]. There are several survey papers that have discussed various approaches for enhancing the IoT connectivity [14], [21], [28], [34]. For example, intelligent resource management was considered in [34] and non-orthogonal multiple access (NOMA) technology was reviewed in [28].…”

Section: Introductionmentioning

confidence: 99%

IoT Connectivity Technologies and Applications: A Survey

et al. 2020

View full text Add to dashboard Cite

The Internet of Things (IoT) is rapidly becoming an integral part of our life and also multiple industries. We expect to see the number of IoT connected devices explosively grows and will reach hundreds of billions during the next few years. To support such a massive connectivity, various wireless technologies are investigated. In this survey, we provide a broad view of the existing wireless IoT connectivity technologies and discuss several new emerging technologies and solutions that can be effectively used to enable massive connectivity for IoT. In particular, we categorize the existing wireless IoT connectivity technologies based on coverage range and review diverse types of connectivity technologies with different specifications. We also point out key technical challenges of the existing connectivity technologies for enabling massive IoT connectivity. To address the challenges, we further review and discuss some examples of promising technologies such as compressive sensing (CS) random access, non-orthogonal multiple access (NOMA), and massive multiple input multiple output (mMIMO) based random access that could be employed in future standards for supporting IoT connectivity. Finally, a classification of IoT applications is considered in terms of various service requirements. For each group of classified applications, we outline its suitable IoT connectivity options.

show abstract

“…Therefore, green communication (i.e., energy-efficient communication) has became a significant standard for future IoT networks, which means that the low energy consumption and high data throughput should be simultaneously satisfied [2], [3]. To realize the requirement of the massive wireless devices connectivity in IoT networks, non-orthogonal multiple access (NOMA) technique can be as an effective candidate because it allows multiple devices to connect to the network with the same time frequency resource [4]. Furthermore, the NOMA technique has recently been included into the 3GPP long term evolution advanced (LTE-A) standard due to its enormous potential in improving the spectrum efficiency (SE) of the system [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Green Communication for NOMA-Based CRAN

Hao

Chu

Zhou

et al. 2019

IEEE Internet Things J.

View full text Add to dashboard Cite

Abstract-The wireless devices will rapidly growth with the application of the Internet of Thing (IoT), which results in the huge power consumption. To realize the green communication, in this paper, we study the energy efficiency (EE) problem in a non-orthogonal multiple access (NOMA)-based CRAN, where microwave and millimeter wave (mmWave) are applied in fronthaul and access links, respectively. Based on this, we formulate the power optimization problem to maximize the EE of the system subject to the fronthaul capacity and transmit power constraints. Due to the formulated problem is nonconvex, we first transform the fractional objective function into the subtractive form. After that, an algorithm containing outer and inner loops is proposed to deal with this non-convex problem. In particular, in the outer loop, the 1 -norm technique is adopted to transform the nonconvex fronthaul capacity constraint into the convex one; while in the inner loop, the weighted minimum mean square error (WMMSE) approach is applied to solve the formulated problem. Simulation results demonstrate that the proposed NOMA scheme can obtain higher EE as well as throughput in comparison with the conventional orthogonal multiple access (OMA) scheme.

show abstract

Massive Non-Orthogonal Multiple Access for Cellular IoT: Potentials and Limitations

Cited by 369 publications

References 13 publications

Energy consumption optimization for self‐powered IoT networks with non‐orthogonal multiple access

Energy consumption optimization for self‐powered IoT networks with non‐orthogonal multiple access

IoT Connectivity Technologies and Applications: A Survey

Green Communication for NOMA-Based CRAN

Contact Info

Product

Resources

About