Uplink Resource Allocation for NOMA-Based Hybrid Spectrum Access in 6G-Enabled Cognitive Internet of Things

Liu, Xin; Ding, Hua; Hu, Su

doi:10.1109/jiot.2020.3007017

Cited by 62 publications

(28 citation statements)

References 28 publications

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“…Liu et al [10] proposed NOMA-based hybrid spectrum access system for 6G-enabled cognitive IoT (CIoT) in which CIoT might access the busy and idle spectrum through NOMA irrespective of PU states. Mukherjee et al [11] tackled the energy utilization problem of a huge IoT system using dynamic network clustering/architecture with MAS for industrial 6G applications.…”

Section: Figure 1: Applications Of 6g Networkmentioning

confidence: 99%

Metaheuristic Resource Allocation Strategy for Cluster Based 6G Industrial Applications

Hamida¹,

Mrabet²,

Belguith³

et al. 2022

Computers, Materials &Amp; Continua

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The emergence of Beyond 5G (B5G) and 6G networks translated personal and industrial operations highly effective, reliable, and gainful by speeding up the growth of next generation Internet of Things (IoT). Industrial equipment in 6G encompasses a huge number of wireless sensors, responsible for collecting massive quantities of data. At the same time, 6G network can take real-world intelligent decisions and implement automated equipment operations. But the inclusion of different technologies into the system increased its energy consumption for which appropriate measures need to be taken. This has become mandatory for optimal resource allocation in 6G-enabled industrial applications. In this scenario, the current research paper introduces a new metaheuristic resource allocation strategy for clusterbased 6G industrial applications, named MRAS-CBIA technique. MRAS-CBIA technique aims at accomplishing energy efficiency and optimal resource allocation in 6G-enabled industrial applications. The proposed MRAS-CBIR technique involves three major processes. Firstly, Weighted Clustering Technique (WCT) is employed to elect the optimal Cluster Heads (CHs) or coordinating agents with the help of three parameters namely, residual energy, distance, and node degree. Secondly, Decision Tree-based Location Prediction (DTLP) mechanism is applied to determine the exact location of Management Agent (MA). Finally, Fuzzy C-means with Tunicate Swarm Algorithm (FCM-TSA) is used for optimal resource allocation in 6G industrial applications. The performance of the proposed MRAS-CBIA technique was validated and the results were examined under different dimensions. The resultant experimental values highlighted the superior performance of MRAS-CBIR technique over existing state-of-the-art methods.

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Section: Figure 1: Applications Of 6g Networkmentioning

confidence: 99%

Metaheuristic Resource Allocation Strategy for Cluster Based 6G Industrial Applications

Hamida¹,

Mrabet²,

Belguith³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

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“…Meanwhile, many researchers have given much attention to non-orthogonal multiple access (NOMA) because it can significantly improve the spectral efficiency [5][6][7]. Additionally, the 5G standard defined by the third generation partnership project (3GPP) supports two types of NOMA: (1) power-domain-based NOMA and (2) code-domainbased NOMA.…”

Section: Introductionmentioning

confidence: 99%

Neighbor-Aware Non-Orthogonal Multiple Access Scheme for Energy Harvesting Internet of Things

Kim¹,

Paik²,

Kim³

et al. 2022

Sensors

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In a non-orthogonal multiple access (NOMA) environment, an Internet of Things (IoT) device achieves a high data rate by increasing its transmission power. However, excessively high transmission power can cause an energy outage of an IoT device and have a detrimental effect on the signal-to-interference-plus-noise ratio of neighbor IoT devices. In this paper, we propose a neighbor-aware NOMA scheme (NA-NOMA) where each IoT device determines whether to transmit data to the base station and the transmission power at each time epoch in a distributed manner with the consideration of its energy level and other devices’ transmission powers. To maximize the aggregated data rate of IoT devices while keeping an acceptable average energy outage probability, a constrained stochastic game model is formulated, and the solution of the model is obtained using a best response dynamics-based algorithm. Evaluation results show that NA-NOMA can increase the average data rate up to 22% compared with a probability-based scheme while providing a sufficiently low energy outage probability (e.g., 0.05).

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“…For the uplink communications, the authors studied the NOMA system with imperfect SIC, considered to minimize the total power consumption with the constraints of quality of service, and evaluated the impact of imperfect SIC on system performance [6]. For the cognitive Internet of Things (IoT) supporting the 6th-generation mobile communication technology, the authors of [7] proposed a hybrid spectrum access scheme based on NOMA to maximize the average data transmission rate of the cognitive IoT. The above scenarios are assumed under the ideal condition; however, the loss of distance and path is inevitable during the transmission process in actual scenarios.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of MEC Based on NOMA under Imperfect CSI with Eavesdropper

Pei

Jiang

et al. 2021

Wireless Communications and Mobile Computing

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Mobile edge computing (MEC) is becoming more and more popular because of improving computing power in virtual reality, augmented reality, unmanned driving, and other fields. This paper investigates a nonorthogonal multiple access- (NOMA-) based MEC system, which is under imperfect channel state information (ipCSI). In this system model, a pair of users offloads their tasks to the MEC server with the existence of an eavesdropper (Eve). To evaluate the impact of Eve on the performance of the NOMA-MEC system, the secrecy outage probability (SOP) expressions for two users with the conditions of imperfect CSI and perfect channel state information (pCSI) are derived. In addition, both throughput and energy efficiency are discussed in the delay-limited transmission mode. Simulation results reveal that (1) due to the influence of channel estimation errors, the secrecy outage behaviors of two users under ipCSI conditions are worse than those of users with pCSI; (2) the secrecy performance of NOMA-MEC is superior to orthogonal multiple access- (OMA-) aided MEC systems; and (3) the NOMA-MEC systems have the ability to attain better system throughput and energy efficiency compared with OMA-MEC.

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Uplink Resource Allocation for NOMA-Based Hybrid Spectrum Access in 6G-Enabled Cognitive Internet of Things

Cited by 62 publications

References 28 publications

Metaheuristic Resource Allocation Strategy for Cluster Based 6G Industrial Applications

Metaheuristic Resource Allocation Strategy for Cluster Based 6G Industrial Applications

Neighbor-Aware Non-Orthogonal Multiple Access Scheme for Energy Harvesting Internet of Things

Performance Analysis of MEC Based on NOMA under Imperfect CSI with Eavesdropper

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