Connection Density Maximization of Narrowband IoT Systems With NOMA

Mostafa, Ahmed Elhamy; Zhou, Yong; Wong, Vincent W. S.

doi:10.1109/twc.2019.2927666

Cited by 66 publications

(44 citation statements)

References 25 publications

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“…However, due to large-scale access, spectrum resources have become scarce and crowded, and IoT devices undergo severe data exchange interference. Therefore, applying cognitive radio (CR) and Non-orthogonal multiple access (NOMA) capabilities to the IoT is a promising solution to the problem of scarcity of spectrum in IoT networks [1]- [5].…”

Section: Introductionmentioning

confidence: 99%

Physical Layer Security in NOMA-Enabled Cognitive Radio Networks With Outdated Channel State Information

et al. 2020

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In this paper, we investigate physical layer security (PLS) in non-orthogonal multiple access-enabled (NOMA-enabled) underlay cognitive radio networks (CRNs) with outdated channel state information (CSI). Considering the influence of outdated CSI on the interference of secondary transmitter (Alice) to primary user (PU), the constraint for the power is adopted to guarantee the quality-of-service (QoS) of PU over Nakagami-m channels. To further analyze the NOMA-enabled underlay CRNs with outdated CSI in PLS perspective, the secrecy performance is evaluated by the closed-form expressions for connection outage probability (COP), the intercept probability (IP) and effective secrecy throughput (EST). In addition, Monte Carlo simulations are provided to verify the derived analytical results. From the analytical results and simulations, it is concluded that a) with the increment of the channel parameter m, the secrecy performance of the considered networks increases in the low SNR region and decreases in the high SNR region, b) the connection performance with the outdated CSI of the interference links only reduce in the high SNR region, because the power margin factor changes significantly in this region, c) considering the impact of the constraint for the power, the secrecy performance and EST performance of the considered networks with the outdated CSI of the interference links increase in the high SNR region, d) the considered networks with NOMA scheme can achieve higher EST than that with orthogonal multiple access (OMA) scheme. INDEX TERMS Physical layer security, cognitive radio, non-orthogonal multiple access (NOMA), outdated channel state information, effective secrecy throughput.

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Section: Introductionmentioning

confidence: 99%

Physical Layer Security in NOMA-Enabled Cognitive Radio Networks With Outdated Channel State Information

et al. 2020

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“…Then, an optimization problem is formulated 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. [9] proposes a powerdomain NOMA scheme for the NB-IoT systems to enhance the connection density by allowing multiple IoT devices to simultaneously access one subcarrier. In [9], both single-tone and multi-tone transmission modes of the NB-IoT systems are considered, where each device can access a single subcarrier or a bond of contiguous subcarriers, respectively.…”

Section: Related Workmentioning

confidence: 99%

Beamforming Optimization and Power Allocation for User-Centric MIMO-NOMA IoT Networks

Wang

2021

IEEE Access

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“…We consider cellular downlink communication with one BS and IoT devices and the frequency bandwidth is divided into sub-bands [27], [28]. Each sub-band supports multiple devices simultaneously sharing the same bandwidth and time slot with different power levels as illustrated in Fig.…”

Section: System Modelmentioning

confidence: 99%

CDF-Based Multiuser Scheduling for Downlink Non-Orthogonal Multiple Access (NOMA)

Lim

Nam

et al. 2020

IEEE Access

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In this paper, we propose cumulative distribution function (CDF)-based multiuser scheduling (CMS) for downlink non-orthogonal multiple access (NOMA) to accommodate a massive number of IoT devices over limited radio resources and statistically analyze the ergodic capacity of devices. With the proposed CMS algorithm, multiple devices having relatively better channel gain to exploit multiuser diversity are selected while meeting QoS requirements by controlling the amount of resources. We first provide the user selection probability in terms of the weight of each device, which determines the amount of time resources. Based on some selected results, it is shown that equal weights ensure fair resource allocation. Further, for fair resource allocation scenario, the distribution of signal-to-interference-plus-noise ratio (SINR) when a specific device is selected is derived. With this derived statistical result of SINR, we analyze the ergodic capacity of the specific device. Some selected results show that the proposed CMS algorithm allocates the time resource more fairly than proportional fair scheduling. Further, the average throughput and amount of resources can be controlled by adjusting the weights of each device, so different QoS requirements can be guaranteed.

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Connection Density Maximization of Narrowband IoT Systems With NOMA

Cited by 66 publications

References 25 publications

Physical Layer Security in NOMA-Enabled Cognitive Radio Networks With Outdated Channel State Information

Physical Layer Security in NOMA-Enabled Cognitive Radio Networks With Outdated Channel State Information

Beamforming Optimization and Power Allocation for User-Centric MIMO-NOMA IoT Networks

CDF-Based Multiuser Scheduling for Downlink Non-Orthogonal Multiple Access (NOMA)

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