Spectrum Sensing Algorithm by Multi-Objective Optimization Theory and Fuzzy Integral Method-Reference-Cited by-同舟云学术

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Spectrum Sensing Algorithm by Multi-Objective Optimization Theory and Fuzzy Integral Method

Published:2023 Issue: Volume:11 Page:109307-109318
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Dong Qing¹^ORCID

Affiliation:

1. Public Basic Teaching and Research Department, Jilin Police College, Changchun, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10264079.pdf?arnumber=10264079

Reference23 articles.

1. A Spectrum Regeneration and Demodulation Method for Multiple Direct Undersampled Real Signals

2. A posterior transition probability‐based model for spectrum sensing in cognitive radio networks for maximized network lifetime and performance enhancement

3. An Improved Clustering Cooperative Spectrum Sensing Algorithm Based on Modified Double-Threshold Energy Detection and Its Optimization in Cognitive Wireless Sensor Networks

4. Prediction of bioaccessible lead in urban and suburban soils with Vis-NIR diffuse reflectance spectroscopy

5. An integrated simulation approach to the assessment of urban growth pattern and loss in urban green space in Kolkata, India: A GIS-based analysis

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1. Jointly Active/Passive Beamforming Optimization for Intelligent-Reflecting Surface-Assisted Cognitive-IoT Networks;Electronics;2024-01-09

2. Toward Efficient 6G IoT Networks: A Perspective on Resource Optimization Strategies, Challenges, and Future Directions;IEEE Access;2024

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