Over-the-air federated edge learning (Air-FEEL) is a communication-effic...
Communication overhead has become one of the major bottlenecks in the
di...
We consider a federated data analytics problem in which a server coordin...
In wideband millimeter wave (mmWave) massive multiple-input multiple-out...
In terahertz (THz) massive multiple-input multiple-output (MIMO) systems...
In split machine learning (ML), different partitions of a neural network...
Reconfigurable intelligent surface (RIS) can be employed in a cell-free
...
Using precoding to suppress multi-user interference is a well-known tech...
The roll-out of various emerging wireless services has triggered the nee...
Hybrid analog-digital (HAD) architecture is widely adopted in practical
...
Recently, deep neural network (DNN) has been widely adopted in the desig...
Accurate and efficient estimation of the high dimensional channels is on...
The core requirement of massive Machine-Type Communication (mMTC) is to
...
Millimeter-wave (mmW)/Terahertz (THz) wideband communication employing a...
Channel estimation is one of the key issues in practical massive
multipl...
Assuming non-ideal circuit power consumption at the energy harvesting (E...
The popular federated edge learning (FEEL) framework allows
privacy-pres...
In this paper, we investigate the optimal design of a wireless-powered c...
This paper considers an angle-domain intelligent reflecting surface (IRS...
With the increasing development of Internet of Things (IoT), the upcomin...
The reconfigurable intelligent surface (RIS) is considered as a promisin...
This paper investigates the issue of cooperative activity detection for
...
In this paper, we investigate the issue of integrated sensing, computati...
In this paper, we propose a robust design framework for IRS-aided
commun...
This paper designs a cooperative activity detection framework for massiv...
This paper proposes a novel location information aided multiple intellig...
This paper considers an intelligent reflecting surface (IRS) aided
multi...
In this paper, we propose a novel deep learning based approach for joint...
In this paper, we investigate the issue of massive access in a beyond
fi...
This letter presents a detailed performance analysis of the intelligent
...
This paper studies the joint beamwidth and transmit power optimization
p...
In this work, we study the statistically robust beamforming design for a...
This paper considers a multi-antenna multicast system with programmable
...
Millimeter-wave/Terahertz (mmW/THz) communications have shown great pote...
Reconfigurable intelligent surface (RIS) has recently emerged as a promi...
In cognitive radio systems, the ability to accurately detect primary use...
In this paper, we study the problem of massive connections over limited ...
This paper presents a detailed secrecy outage performance analysis of
co...
Ambient backscatter communication is a newly emerged paradigm, which uti...
Multi-antenna non-orthogonal multiple access (NOMA) is a promising techn...