Telecommunications have grown to be a pillar to a functional society and the urge for
reliable and high throughput systems has become the main objective of researchers and …

To meet the future demand for huge traffic volume of wireless data service, the research on
the fifth generation (5G) mobile communication systems has been undertaken in recent …

This paper proposes a practical channel estimation for 60-GHz indoor systems with the
massive uniform rectangular array at base station. Through antenna array theory, the …

Massive multiple-input-multiple-output (MIMO) is a promising technique for providing
unprecedented spectral efficiency. However, it has been well recognized that the excessive …

To reduce the downlink beam sweep overhead of mmWave systems, we propose a deep
reinforcement learning based dynamic beam selection (DRL-DBS) method. A new learning …

The deep convolutional neural network (CNN) is exploited in this work to conduct the
challenging channel estimation for mmWave massive multiple input multiple output (MIMO) …

Massive MIMO (multiple-input-multiple-output) is one of the key technologies of 5G mobile
cellular networks, which can form a huge antenna array by providing a large number of …

Millimeter-wave (mmWave) channel sparsity is widely exploited to reduce the complexity of
compressed sensing and beamtracking algorithms for 5G, yet there are still many …

For downlink orthogonal frequency division multiplexing-based massive multiple-input-
multiple-output transmission over the time-varying channel, channel estimation is very …

The performance of multicell massive multiple‐input multiple‐output (MIMO) systems is
heavily affected by pilot contamination. This study considers the problem of pilot …