Path Loss Prediction Model Development in a Mountainous Forest Environment
We consider a method for developing a radio-wave propagation prediction model in a mountainous forested area. A new path loss development approach uses a free-space path loss (FSPL) model and an empirical path loss model. To improve the prediction accuracy, the transmission path distance, free space...
Saved in:
Main Authors: | Bilguunmaa Myagmardulam, Nakayama Tadachika, Kazuyoshi Takahashi, Ryu Miura, Fumie Ono, Toshinori Kagawa, Lin Shan, Fumihide Kojima |
---|---|
Format: | article |
Language: | EN |
Published: |
IEEE
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/d7ef03bffbc248a88ceb43af00c1a07c |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Caracterización de zonas de riesgo por crecientes de ríos de bajo caudal, para la implementación de un sistema de alertas tempranas (SAT) con tecnología LoRa y LoRaWAN
by: Castillo,Robinson, et al.
Published: (2020) -
Special Section on Full-Duplex Transceivers for Future Networks: Theory and Techniques
by: Nghi H. Tran, et al.
Published: (2021) -
Drone Swarm, The Finnish UAV Ecosystem Trial
by: Kristian Ratia, et al.
Published: (2021) -
HyDSMaaS: A Hybrid Communication Infrastructure with LoRaWAN and LoraMesh for the Demand Side Management as a Service
by: Artur Felipe da Silva Veloso, et al.
Published: (2021) -
A Capacity Achieving MIMO Detector Based on Stochastic Sampling
by: Jonathan C. Hedstrom, et al.
Published: (2021)