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Spectrum Allocation Algorithm Based on Improved Chimp Optimization Algorithm
In response to the rapid growth of spectrum resource demand and low utilization of spectrum, this paper proposes a spectrum allocation solution based...
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Energy Efficient Allocation of Resources in NOMA Based (MU-HCRN) with Perfect Spectrum Sensing
Allocating Resources in NOMA Based MU-Heterogeneous Cognitive Radio Networks (MU-HCRN) with Perfect Spectrum Sensing in an energy-efficient manner...
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Spectrum Needs and Planning
Connected Vehicle has become one of the most important application scenarios of 5G. Especially the V2X communication technology has become the...
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Profit-maximization spectrum sharing in opportunistic duopoly market under dynamic spectrum pricing and QoS constraints
Cognitive radio (CR) technology is crucial for enabling dynamic spectrum management. CR allows opportunistic spectrum sharing with licensed primary...
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A Multi-UAVs Cooperative Spectrum Sensing Method Based on Improved IDW Algorithm
With the development of spatial information networks, the perceptual allocation of spectrum resources has become a research hotspot. To solve the...
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Reinforcement Learning Based Spectrum Sensing and Resource Allocation in WSN-IoT Smart Applications
There is a tremendous demand for resources due to the different emerging IoT applications that must be fulfilled. The large-scale...
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Distribution of resources beyond 5G networks with heterogeneous parallel processing and graph optimization algorithms
In this paper, a design model for resource allocation is formulated beyond 5G networks for effective data allocations in each network nodes. In all...
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Multisensory Collaborative Play: Online Resources for Parents of Children with Autism Spectrum Disorder
Switching from face-to-face learning to online learning due to the COVID-19 pandemic is challenging for students especially for children with autism...
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Towards a Registry for Digital Resources – The Text+ Registry for Editions
The paper presents the Text+ Registry as a central system to describe and catalogue different kinds of resources. Using the example of editions and...
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Federated learning for efficient spectrum allocation in open RAN
In the evolving landscape of Open Radio Access Networks (Open RAN), the dynamic and unpredictable nature of network conditions presents significant...
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Emerging resources, enduring challenges: a comprehensive study of Kashmiri parallel corpus
This study addresses the critical shortage of parallel corpora for the Kashmiri language, a significant barrier to advancing language processing...
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SpectrumChain: a disruptive dynamic spectrum-sharing framework for 6G
The sixth-generation (6G) wireless network will support ubiquitous connectivity and diversified scenarios to satisfy the requirements of various...
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Adapting the Regulation of Spectrum and Telecom Networks to 5G Technology-A Cross Country Analysis
The fifth generation of wireless mobile technology (5G) is under deployment, with new capabilities and systems of value generation in the market. New...
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Mitigating Security Attacks in Spectrum Allocation in Cognitive Radio Networks
Current channel assignment techniques rely on the nodes’s decent nature and lack of malicious intent. The accuracy of the information disseminated by...
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Vehicular Network Spectrum Allocation Using Hybrid NOMA and Multi-agent Reinforcement Learning
The recent years have seen a proven impact of the reinforcement learning use in many applications which showed tremendous success in solving many...
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Contract-based Cooperative Computation and Communication Resources Sharing in Mobile Edge Computing
In this paper, we consider a Mobile Edge Computing (MEC) system with a source transmitter (ST) and multiple relay nodes (RNs). ST has sufficient...
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Improved gradient boosting hybrid spectrum sharing and actor critic channel allocation in 6G CR-IOT
The fast advancement of wireless communication technology and the growth in the reputation of Internet of Things (IoT) applications have led to the...
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Acquisition Method of Direct Sequence Spread Spectrum Signal Based on Deep Residual Network
In order to improve the ability of network host to collect spread spectrum signals and accurately deduce the sequence of signal parameters, a direct...
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Assigning multiple labels of sustainable development goals to open educational resources for sustainability education
Sustainable Development Goals (SDG) 4.7 aims to ensure learners acquire the knowledge and skills for promoting sustainable development by 2030. Yet,...
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A Data-Driven Machine Learning Spectrum Sharing Mechanism
Spectrum sensing is the most important part of cognitive radio technology, and it is a necessary condition for spectrum sharing. As the radio...