Trust management in social Internet of Things: A taxonomy, open issues, and challenges
Abstract Internet of Things (IoT) is an emerging area in which billions of smart objects are
interconnected with each other using Internet for data and resource sharing. These smart …
interconnected with each other using Internet for data and resource sharing. These smart …
Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing
To process and transfer large amounts of data in emerging wireless services, it has become
increasingly appealing to exploit distributed data communication and learning. Specifically …
increasingly appealing to exploit distributed data communication and learning. Specifically …
A perspective on 6G: Requirement, technology, enablers, challenges and future road map
PP Ray - Journal of Systems Architecture, 2021 - Elsevier
Mobile network operators are at the verge of distribution and allotment of existing mobile
communications with 5G. It is a high time that we should be focused on the forthcoming sixth …
communications with 5G. It is a high time that we should be focused on the forthcoming sixth …
Broadband analog aggregation for low-latency federated edge learning
To leverage rich data distributed at the network edge, a new machine-learning paradigm,
called edge learning, has emerged where learning algorithms are deployed at the edge for …
called edge learning, has emerged where learning algorithms are deployed at the edge for …
One-bit over-the-air aggregation for communication-efficient federated edge learning: Design and convergence analysis
Federated edge learning (FEEL) is a popular framework for model training at an edge server
using data distributed at edge devices (eg, smart-phones and sensors) without …
using data distributed at edge devices (eg, smart-phones and sensors) without …
Over-the-air computation systems: Optimization, analysis and scaling laws
For future Internet-of-Things based Big Data applications, data collection from ubiquitous
smart sensors with limited spectrum bandwidth is very challenging. On the other hand, to …
smart sensors with limited spectrum bandwidth is very challenging. On the other hand, to …
Optimized power control for over-the-air computation in fading channels
Over-the-air computation (AirComp) of a function (eg, averaging) has recently emerged as
an efficient multiple-access scheme for fast aggregation of distributed data at mobile devices …
an efficient multiple-access scheme for fast aggregation of distributed data at mobile devices …
Federated learning in multi-RIS-aided systems
The fundamental communication paradigms in the next-generation mobile networks are
shifting from connected things to connected intelligence. The potential result is that current …
shifting from connected things to connected intelligence. The potential result is that current …
Wireless-powered over-the-air computation in intelligent reflecting surface-aided IoT networks
Fast wireless data aggregation and efficient battery recharging are two critical design
challenges of Internet-of-Things (IoT) networks. Over-the-air computation (AirComp) and …
challenges of Internet-of-Things (IoT) networks. Over-the-air computation (AirComp) and …
Task-oriented sensing, computation, and communication integration for multi-device edge AI
This paper studies a new multi-device edge artificial-intelligent (AI) system, which jointly
exploits the AI model split inference and integrated sensing and communication (ISAC) to …
exploits the AI model split inference and integrated sensing and communication (ISAC) to …