NOMA-Based Compressive Random Access Using Gaussian Spreading

Choi, Jinho

doi:10.1109/tcomm.2019.2907623

Cited by 28 publications

(16 citation statements)

References 44 publications

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“…In [149], a joint sub-carrier and transmission power allocation problem were considered and solved to maximize the number of MTC devices and satisfy the transmission power constraints. In [150], NOMA to cGFRA was adopted to improve the performance of cGFRA and it was revealed that the number of incorrectly detected device activity can be reduced by applying NOMA to cGFRA. In [151], a low-complexity dynamic cGFRA for NOMA was proposed to jointly realize user activities and data detections.…”

Section: B Noma Based Iot Connectivitymentioning

confidence: 99%

IoT Connectivity Technologies and Applications: A Survey

et al. 2020

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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.

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Section: B Noma Based Iot Connectivitymentioning

confidence: 99%

IoT Connectivity Technologies and Applications: A Survey

et al. 2020

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“…By using NOMA, additional users, such as delay-tolerate devices, can be admitted to the channel. As a result, the overall spectral efficiency is improved, and the use of advanced forms of NOMA can ensure that massive connectivity is supported while strictly guaranteeing all devices' QoS requirements [5]- [7]. It is worth to point out that successive interference cancellation (SIC) is a key component of NOMA systems, and conventionally SIC decoding orders are mainly determined by the devices' channel state information (CSI).…”

Section: A Motivations and The Related Existing Workmentioning

confidence: 99%

Harvesting Devices’ Heterogeneous Energy Profiles and QoS Requirements in IoT: WPT-NOMA vs BAC-NOMA

Ding

2021

IEEE Trans. Commun.

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The next generation Internet of Things (IoT) exhibits a unique feature that IoT devices have different energy profiles and quality of service (QoS) requirements. In this paper, two energy and spectrally efficient transmission strategies, namely wireless power transfer assisted non-orthogonal multiple access (WPT-NOMA) and backscatter communication (Back-Com) assisted NOMA (BAC-NOMA), are proposed by utilizing this feature of IoT and employing spectrum and energy cooperation among the devices. In particular, the use of NOMA ensures that the devices with different QoS requirements can share the same spectrum, and WPT and Back-Com are employed to utilize the cooperation among the devices with different energy profiles, which avoids the use of a dedicated power beacon. Furthermore, for the proposed WPT-NOMA scheme, the application of hybrid successive interference cancelation (SIC) decoding order is also considered, and analytical results are developed to demonstrate that WPT-NOMA can avoid outage probability error floors and realize the full diversity gain. Unlike WPT-NOMA, BAC-NOMA suffers from an outage probability error floor, and the asymptotic behavior of this error floor is analyzed in the paper by applying the extreme value theory. In addition, the effect of a unique feature of BAC-NOMA, i.e., employing one device's signal as the carrier signal for another device, is studied, and its impact on the diversity gain is revealed. Simulation results are also provided to compare the performance of the proposed strategies and verify the developed analytical results. Index Terms-Non-orthogonal multiple access (NOMA), simultaneous wireless information and power transfer (SWIPT), backscatter communications (BackCom).

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“…The author in [3] has shown that a promising solution to support massive uplink connectivity for short packet transmission is the Gaussian multiple access channel (G-MAC). The challenging task in the realization of G-MAC is the design of efficient and low complexity multiuser detection (MUD) algorithms at the base station (BS) to achieve the desirable spectral efficiency and reliability for short-packet transmission [4].…”

Section: Introductionmentioning

confidence: 99%

Efficient Massive Machine Type Communication (mMTC) via AMP

Mohammadkarimi¹,

Ardakani²

2022

Preprint

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We propose efficient and low complexity multiuser detection (MUD) algorithms for Gaussian multiple access channel (G-MAC) for short-packet transmission in massive machine type communications. We formulate the problem of MUD for the G-MAC as a compressive sensing problem with virtual sparsity induced by one-hot vector transmission of devices in code domain. Our proposed MUD algorithms rely on block and non-block approximate message passing (AMP) for soft decoding of the transmitted packets. Taking into account the induced sparsity leads to a known prior distribution on the transmit vector; hence, the optimal minimum mean squared error (MMSE) denoiser can be employed. We consider both separable and non-separable MMSE denoisers for AMP soft decoding. The effectiveness of the proposed MUD algorithms for a large number of devices is supported by simulation results. For packets of 8 information bits, while the state of the art AMP with soft-threshold denoising achieves 5/100 of the converse bound at E b /N0 = 4 dB, the proposed algorithms reach 4/9 and 1/2 of the converse bound.

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NOMA-Based Compressive Random Access Using Gaussian Spreading

Cited by 28 publications

References 44 publications

IoT Connectivity Technologies and Applications: A Survey

IoT Connectivity Technologies and Applications: A Survey

Harvesting Devices’ Heterogeneous Energy Profiles and QoS Requirements in IoT: WPT-NOMA vs BAC-NOMA

Efficient Massive Machine Type Communication (mMTC) via AMP

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