The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …

The rapid advancement of artificial intelligence technologies has given rise to diversified
intelligent services, which place unprecedented demands on massive connectivity and …

The thriving of artificial intelligence (AI) applications is driving the further evolution of
wireless networks. It has been envisioned that 6G will be transformative and will …

A great amount of endeavour has recently been devoted to activity detection for cell-free
massive multiple-input multiple-output (MIMO) systems, where multiple access points (APs) …

This article proposes a novel knowledge-driven approach for resource allocation in wireless
networks using the graph neural network (GNN) architecture. To meet the millisecond-level …

In this paper, we consider communication-efficient over-the-air federated learning (FL),
where multiple edge devices with non-independent and identically distributed datasets …

To support modern machine-type communications, a crucial task during the random access
phase is device activity detection, which is to identify the active devices from a large number …

We consider the uplink connectivity for massive machine-type communications (mMTC)
assisted by intelligent reconfigurable surfaces (IRSs), where device activity detection (DAD) …

In wireless networks, the optimization problems generally have complex constraints and are
usually solved via utilizing the traditional optimization methods that have high computational …

Wireless communication systems to date primarily rely on the orthogonality of resources to
facilitate the design and implementation, from user access to data transmission. Emerging …