Detection techniques for massive multiple-input multiple-output (MIMO) have gained a lot of
attention in both academia and industry. Detection techniques have a significant impact on …

This paper proposes a novel learning to learn method, called learning to learn iterative
search algorithm (LISA), for signal detection in a multi-input multi-output (MIMO) system. The …

Blind modulation classification is a fundamental step before signal detection in cognitive
radio networks where the knowledge of modulation scheme is not completely known. In this …

The use of low-resolution analog-to-digital converters (ADCs) is considered to be an
effective technique to reduce the power consumption and hardware complexity of wireless …

The codebook design is the most essential core technique in constrained feedback massive
multi-input multi-output (MIMO) system communications. MIMO vectors have been generally …

Symbol detection (SD) plays an important role in a digital communication system. However,
most SD algorithms require channel state information (CSI), which is often difficult to …

This article introduces two novel multiple input multiple output spatial division multiplexing
(MIMO-SDM) systems based on deep learning techniques using bit-wise (BW) and symbol …

In conventional full-duplex communications, dedicated symbols are transmitted to estimate
both the self-interference channel and the desired signal channel in order to perform self …

Here, the authors propose a robust blind digital modulation classification (BDMC) algorithm
for space time block coding (STBC)‐based MIMO‐OFDM system in the presence of carrier …

Codebook design is one of the core technologies in limited feedback multi-input multi-output
(MIMO) communication systems. However, the conventional codebook designs usually …