Urban Mobile Channel Delay Spread Measurements at 700 MHz, 2.5 GHz and 3.5 GHz

Silva, Marcelo Molina; Mello, Luiz da Silva; Rodríguez, Carlos; Almeida, M. P.; Castellanos, Pedro Gonzalez

doi:10.1049/cp.2018.1157

Cited by 3 publications

(1 citation statement)

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“…The environments are characterized by dense vegetation and building surroundings. The collected samples shown in Figure 6.1 correspond to the points leading to valid OFDM symbols after applying the constant false alarm rate (CFAR) filtering technique [156]; thus, the PL in dB is obtained from the measured received power (P RX ) and system parameters using Equation . This results in 756 samples on Route #1 and 825 samples on Route #2 in NLOS conditions.…”

Section: The Measurement Campaign: Dataset Descriptionmentioning

confidence: 99%

On Machine Learning Techniques Toward Path Loss Modeling in 5g and Beyond Wireless Systems

ELEDUVITH NUNEZ RUIZ

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I would like to express my sincere gratitude to my co-advisor, Professor Lisandro Lovisolo, for his insightful suggestions, enthusiasm, and always being there when I needed his support. This work would not have been possible without his guidance.I would like to acknowledge and thank my family, my parents, my brother, and his wife. They always encouraged me and believed in me.I would like to thank my colleagues at PUC-Rio and CETUC, especially Johnes Ricardo, for their sincere friendship and assistance. A special appreciation to Prof. Guilherme Temporão, Marcelo Balisteri, and Marta Pudwell for their valuable support in the final stage of this journey.I would like to thank my colleagues from the Radio-Propagation Laboratory, CETUC, Carlos Orihuela, Marcelo Molina, Carlos Rodriguez, and Professor Glaucio Lopes, for helping me process the datasets from the measurement campaigns used in this research and always being there when I needed their support.A special appreciation and dedication to my husband Jorge for all the encouragement, love, patience, source of inspiration, and technical support he gave me during this journey. For always looking after my well-being.

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Section: The Measurement Campaign: Dataset Descriptionmentioning

confidence: 99%