Federated edge learning with misaligned over-the-air computation
Over-the-air computation (OAC) is a promising technique to realize fast model aggregation
in the uplink of federated edge learning (FEEL). OAC, however, hinges on accurate channel …
in the uplink of federated edge learning (FEEL). OAC, however, hinges on accurate channel …
Attentioncode: Ultra-reliable feedback codes for short-packet communications
Ultra-reliable short-packet communication is a major challenge in future wireless networks
with critical applications. To achieve ultra-reliable communications beyond 99.999%, this …
with critical applications. To achieve ultra-reliable communications beyond 99.999%, this …
An analysis of two-user uplink asynchronous non-orthogonal multiple access systems
Recent studies have numerically demonstrated the possible advantages of the
asynchronous non-orthogonal multiple access (ANOMA) over the conventional synchronous …
asynchronous non-orthogonal multiple access (ANOMA) over the conventional synchronous …
Partially observable minimum-age scheduling: The greedy policy
This paper studies the minimum-age scheduling problem in a wireless sensor network
where an access point (AP) monitors the state of an object via a set of sensors. The …
where an access point (AP) monitors the state of an object via a set of sensors. The …
IRS-assisted physical layer network coding over two-way relay fading channels
M AlaaEldin, E Alsusa… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article investigates the performance of intelligent reflective surfaces (IRS)-aided
physical layer network coding (PNC) in two-way relaying channels (TWRC). Specifically, IRS …
physical layer network coding (PNC) in two-way relaying channels (TWRC). Specifically, IRS …
Bayesian over-the-air computation
As an important piece of the multi-tier computing architecture for future wireless networks,
over-the-air computation (OAC) enables efficient function computation in multiple-access …
over-the-air computation (OAC) enables efficient function computation in multiple-access …
Remote state estimation with asynchronous mission-critical IoT sensors
In this paper, we consider a mission-critical remote state estimation system with
asynchronous massive access of the IoT sensors. We focus on remote state estimation …
asynchronous massive access of the IoT sensors. We focus on remote state estimation …
Denoising noisy neural networks: A bayesian approach with compensation
Deep neural networks (DNNs) with noisy weights, which we refer to as noisy neural
networks (NoisyNNs), arise from the training and inference of DNNs in the presence of …
networks (NoisyNNs), arise from the training and inference of DNNs in the presence of …
Optical integrated sensing and communication with light-emitting diode
This paper presents a new optical integrated sensing and communication (O-ISAC)
framework tailored for cost-effective Light-Emitting Diode (LED) for enhanced Internet of …
framework tailored for cost-effective Light-Emitting Diode (LED) for enhanced Internet of …
Semi-blind joint timing-offset and channel estimation for amplify-and-forward two-way relaying
In this paper, we consider the problem of joint timing-offset and channel estimation for
amplify-and-forward (AF) two-way relay networks (TWRNs). This problem is solved for …
amplify-and-forward (AF) two-way relay networks (TWRNs). This problem is solved for …