The exponential growth of mobile data traffic is driving the deployment of dense wireless
networks, which will not only impose heavy backhaul burdens, but also generate …

Reconfigurable intelligent surface (RIS) has emerged as a cost-effective and energy-efficient
technique for 6G. By adjusting the phase shifts of passive reflecting elements, RIS is capable …

A large-scale distributed antenna system that serves the users by coherent joint
transmission is called Cell-free Massive MIMO (multiple input multiple output). For a given …

Devices located in remote regions often lack coverage from well-developed terrestrial
communication infrastructure. This not only prevents them from experiencing high quality …

Power saving and battery-life extension have always been a critical concern for IoT network
deployment. One effective solution is to switch wireless devices into sleep mode to save …

With the rapid upsurge of deep learning tasks at the network edge, effective edge artificial
intelligence (AI) inference becomes critical to provide low-latency intelligent services for …

Group sparse beamforming is a general framework to minimize the network power
consumption for cloud radio access networks, which, however, suffers high computational …

The huge number of parameters of deep neural network makes it difficult to deploy on
embedded devices with limited hardware, computation, storage and energy resources. In …

In multimedia-rich communication scenarios, popular contents are requested by many users.
This calls for the communication system design perspective transferring from user-centric to …

We propose a general formulation of nonconvex and nonsmooth sparse optimization
problems with convex set constraint, which can take into account most existing types of …