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Sub-Nyquist sampling-based wideband spectrum sensing: a compressed power spectrum estimation approach
In this paper, we introduce a sub-Nyquist sampling-based receiver architecture and method for wideband spectrum sensing. Instead of recovering the...
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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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Localizing Spectrum Offenders Using Crowdsourcing
Localizing transmitters using crowdsourced data is considered a practical and cost-effective method, enabling real-time and accurate location...
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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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Improved hybrid spectrum sensing technique in cognitive radio communication system
Spectrum is a natural resource and is utilized in various applications. The proposed method addresses the necessity of spectrum sensing and shows...
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Physics-Driven Spectrum-Consistent Federated Learning for Palmprint Verification
Palmprint as biometrics has gained increasing attention recently due to its discriminative ability and robustness. However, existing methods mainly...
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Improving Linear Key Recovery Attacks Using Walsh Spectrum Puncturing
In some linear key recovery attacks, the function which determines the value of the linear approximation from the plaintext, ciphertext and key is...
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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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The application and comparison between machine learning algorithms in cooperative spectrum sensing
The world is progressing at a rapid rate, and with continuous advancements in technology, the need for cooperative spectrum sensing has evolved....
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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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Fine-grained person-based image captioning via advanced spectrum parsing
Recent image captioning models have demonstrated remarkable performance in capturing substantial global semantic information in coarse-grained images...
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Manipulating the Spectrum
You might remember how all audio sources generate acoustic waves between 20 Hz and 20 kHz, in the range of human hearing. This chapter will tackle...
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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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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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Design and Implementation of Electromagnetic Spectrum Sensing Load Based on Software Radio
AbstractThis study proposed the design and implementation method of an electromagnetic spectrum sensing load based on software radio. In view of...
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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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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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Utilizing Data Spectrum to Promote Data Interoperability Across Industries and Countries
Interoperability of industrial data is crucial for promoting digital transformation of industries and gras** the trend of integrated development of...