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Received Signal Strength Indicator Prediction for Mesh Networks in a Real Urban Environment Using Machine Learning

• Authors : Marlon Jeske; Brunilde Sanso; Daniel Aloise

Subjects: Feature importance; machine learning; mesh networks

• Source: IEEE Access, Vol 12, Pp 165861-165877 (2024)

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Advance Path Loss Model for Distance Estimation Using LoRaWAN Network’s Received Signal Strength Indicator (RSSI)

• Authors : Hoang Vo; Van Hoang Long Nguyen; Van Lic Tran

Subjects: Distance estimation; Kalman filter; localization

• Source: IEEE Access, Vol 12, Pp 83205-83216 (2024)

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Exploring Ground Reflection Effects on Received Signal Strength Indicator and Path Loss in Far-Field Air-to-Air for Unmanned Aerial Vehicle-Enabled Wireless Communication

• Authors : Sarun Duangsuwan; Punyawi Jamjareegulgarn

Subjects: UAV-enabled wireless communications; A2A; RSSI

• Source: Drones, Vol 8, Iss 11, p 677 (2024)

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Multi-Dimensional Wi-Fi Received Signal Strength Indicator Data Augmentation Based on Multi-Output Gaussian Process for Large-Scale Indoor Localization †.

• Authors : Tang, Zhe^1,2 (AUTHOR) ; Li, Sihao^1,2 (AUTHOR) ; Kim, Kyeong Soo¹ (AUTHOR)

• Source: Sensors (14248220). Feb2024, Vol. 24 Issue 3, p1026. 19p.

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Free device location independent WiFi‐based localisation using received signal strength indicator and channel state information

• Authors : Fahd Abuhoureyah; Wong Yan Chiew; Ahmad Sadhiqin Bin Mohd Isira

Subjects: body sensor networks; intelligent sensors; signal detection

• Source: IET Wireless Sensor Systems, Vol 13, Iss 5, Pp 163-177 (2023)

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Machine learning techniques for received signal strength indicator prediction.

• Authors : Azoulay, Rina¹ (AUTHOR); Edery, Eliya² (AUTHOR); Haddad, Yoram¹ (AUTHOR)

• Source: Intelligent Data Analysis. 2023, Vol. 27 Issue 4, p1167-1184. 18p.

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LoRaWAN‐implemented node localisation based on received signal strength indicator

• Authors : Ibrahim Aqeel; Ephraim Iorkyase; Hussein Zangoti

Subjects: Telecommunication; TK5101-6720

• Source: IET Wireless Sensor Systems, Vol 13, Iss 4, Pp 117-132 (2023)

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A novel received signal strength indicator method for modeling Massive MIMO beamforming via multi-task deep learning

• Authors : Ramadan, Ibrahim El-Metwally; AbdElHalim, Eman; Saleh, Ahmed Ibrahim

Subjects: Telecommunication; Deep learning; Fully digital precoder

• Source: International Journal of Electrical and Computer Engineering (IJECE); Vol 14, No 5: October 2024; 5285-5296 ; 2722-2578 ; 2088-8708 ; 10.11591/ijece.v14i5

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Received signal strength indicator‐based set‐membership filtering indoor localization under multipath effect

• Authors : Bo Yang; Rongrong Dong; Junqiang Shang

Subjects: Control engineering systems. Automatic machinery (General); TJ212-225

• Source: IET Control Theory & Applications, Vol 17, Iss 2, Pp 160-171 (2023)

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Proximity-Based Adaptive Indoor Positioning Method Using Received Signal Strength Indicator

• Authors : Jae-hyuk Yoon; Hee-jin Kim; Soon-kak Kwon

Subjects: indoor positioning system; location estimation; BLE

• Source: Applied Sciences, Vol 14, Iss 8, p 3319 (2024)

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