Massive multiple-input multiple-output (MIMO) is a key technology to meet the user demands
in performance and quality of services (QoS) for next generation communication systems …

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 …

In this paper, we investigate the model-driven deep learning (DL) for MIMO detection. In
particular, the MIMO detector is specially designed by unfolding an iterative algorithm and …

In this paper, we propose a model-driven deep learning network for multiple-input multiple-
output (MIMO) detection. The structure of the network is specially designed by unfolding the …

With 6G flagship program launched by the University of Oulu, Finland, for full future
adaptation of 6G by 2030, many institutes worldwide have started to explore various issues …

The recently commercialized fifth-generation (5G) wireless networks have achieved many
improvements, including air interface enhancement, spectrum expansion, and network …

Artificial intelligence (AI) and machine learning (ML) have shown tremendous potential in
resha** the landscape of wireless communications and are, therefore, widely expected to …

This paper is focused on code-domain non-orthogonal multiple access (CD-NOMA), which
is an emerging paradigm to support massive connectivity for future machine-type wireless …

Signal recovery from unitarily invariant measurements is investigated in this paper. A
message-passing algorithm is formulated on the basis of expectation propagation (EP). A …

Multi-user multiple-input multiple-output (MU-MIMO) systems can be used to meet high
throughput requirements of 5G and beyond networks. A base station serves many users in …