The forthcoming generation of wireless technology, 6G, promises a revolutionary leap
beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent …

Emerging applications such as autonomous driving and Internet of things (IoT) services put
forward the demand for simutaneous sensing and communication functions in the same …

Artificial intelligence (AI) is envisioned to be natively integrated into the sixth-generation (6G)
mobile networks to support a diverse range of intelligent applications. Federated edge …

Edge-device co-inference refers to deploying well-trained artificial intelligent (AI) models at
the network edge under the cooperation of devices and edge servers for providing ambient …

Future internet aims to function as a neutral in-network storage and computation platform,
essential for enabling 6G and beyond wireless use cases. Information-Centric Networking …

Owing to the heterogeneous computation and communication capabilities among clients,
the synchronous model aggregation in wireless federated learning (FL) is susceptible to the …

Existing edge inference methods only consider one paradigm, ie, one of on-device
inference, on-server inference, or edge-device cooperative inference. Each paradigm has its …

This article investigates an integrated sensing-communication-computation (ISCC)-based
multiview-multitask (MVMT) edge artificial intelligence inference system. Each device …

Prior to the era of artificial intelligence and big data, wireless communications primarily
followed a conventional research route involving problem analysis, model building and …

In this paper, a cloud radio access network (Cloud-RAN) based collaborative edge AI
inference architecture is proposed. Specifically, geographically distributed devices capture …