The fourth-generation Wireless Technology (4G) has been adopted by all major operators in
the world and has already ruled the cellular landscape for around a decade. A lot of …

Deep learning (DL) technology has been applied to a number of thorny problems in the field
of communication, among which channel estimation is always attracting interests. However …

Deep learning based channel estimation techniques have recently found an overwhelming
interest owing to data-driven learning-based adaptability compared to conventional …

Angle parameters are important for channel modeling and performance evaluation of
communication systems. In this paper, a channel measurement system is developed for air …

The fluctuating nature of wireless networks influences network performance. Estimation of
channel condition is essential for many reasons. The accurate estimation and prediction …

With the advent of machine learning, there has been renewed interest in the problem of
wireless channel estimation. This paper presents a novel low-complexity wireless channel …

Abstract Towards Beyond 5G and 6G, IEEE 802.11 ad is spreading as the primary products
in Millimeter-Wave (mmWave) communication with 60 GHz, and then it will be taken as one …

Due to the emerging challenges with future 6G networks such as high data rates and the
need for remarkably low latency, future wireless communication systems must be planned …

The last few decades have seen an exponential increase in the demand for wireless
connectivity. A channel estimator is a successful strategy for transferring data over wireless …

Turbo-AI is an iterative Machine-Learning (ML) based channel estimator as an additional
option to balance the performance-complexity trade-off and realize challenging scenarios …