Machine Learning-Based Channel Estimation in 5G, Beyond-5G, and 6G Networks: Recent Advances and Future Directions
Accurate channel estimation is one of the most fundamental challenges in modern wireless communication systems.
Journal of Telecommunication, Switching Systems and Networks Journal of Telecommunication, Switching Systems, and Networks [2454-6372(e)]Â is a peer-reviewed hybrid open-access journal launched in 2014 focused on the rapid publication of fundamental research papers on all areas of Telecommunication, switching …
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Dr. K Chandra Bhushana Rao, Professor
JNTUK-University College of Engineering, Andhra Pradesh, India,
Email :
Accurate channel estimation is one of the most fundamental challenges in modern wireless communication systems.
The rapid evolution of sixth-generation (6G) and beyond communication technologies necessitates highly adaptive, ultra-high-capacity, and low-latency networking frameworks capable of supporting global connectivity across terrestrial and non-terrestrial domains.
The emergence of sixth generation (6G) wireless systems calls for a significant shift away from conventional deterministic communication models.
A C-band cross-slotted microstrip patch antenna for ice and frost detection in wireless sensing applications. The antenna configurations with distinct cross-slot geometries are designed to investigate their influence on impedance matching, radiation characteristics, and sensing sensitivity.
The next generation of wireless communications, 6G, will be built on the convergence of artificial intelligence (AI) and advanced antenna systems.
Applications such as industrial automation, environmental monitoring, and agriculture make extensive use of wireless sensor networks, or WSNs. Since sensor nodes frequently operate in remote locations and have limited battery power, energy efficiency is the largest problem in WSN design.