Data-Driven Compressed Sensing for Massive Wireless Access

The central challenge in massive machine-type communications (mMTC) is to connect a large number of uncoordinated devices through a limited spectrum. The typical mMTC communication pattern is spora…

Rate-Splitting Multiple Access and Its Interplay with Intelligent Reflecting …

Rate-splitting multiple access (RSMA) has recently appeared as a powerful technique for improving the downlink performance of multiple-input multiple-output systems. By flexibly managing interferen…

Reconfigurable, Intelligent, and Sustainable Wireless Environments for 6G Sma…

Various visions of the forthcoming sixth generation (6G) networks point toward flexible connect-and-compute technologies to support future innovative services and the corresponding use cases. 6G sh…

Trusted Wireless Monitoring Based on Distributed Ledgers over NB-IoT Connecti…

The data collected from IoT devices on various emissions or pollution can have significant economic value for stakeholders. This makes it prone to abuse or tampering and brings forward the need to …

Resilient and Secure Low-Rate Connectivity for Smart Energy Applications thro…

Spectrum Pooling in MmWave Networks: Opportunities, Challenges, and Enablers

The METIS 5G System Concept: Meeting the 5G Requirements

Massive Machine-Type Communications in 5g: Physical and MAC-Layer Solutions

What Can Wireless Cellular Technologies Do About the Upcoming Smart Metering …

A class of algorithms for collision resolution with multiplicity estimation