Electronic Engineering and Computer Science: Recent submissions
Now showing items 61-80 of 3490
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Communication-Efficient Federated Learning with Heterogeneous Devices
(2023-01-01)The conventional model aggregation-based federated learning (FL) approaches require all local models to have the same architecture and fail to support practical scenarios with heterogeneous local models. Moreover, the ... -
Is Partial Model Aggregation Energy-Efficient for Federated Learning Enabled Wireless Networks?
(IEEE, 2023-01-01)This work aims to address two of the main challenges for federated learning (FL), i.e., the limited communication resources and the data heterogeneity across devices. To this end, we first devise a novel FL framework with ... -
Joint Placement and Precoding Design for Aerial IRS Aided Secure Communication Networks
(IEEE, 2023-01-01)In this paper, we propose a secure transmission scheme for aerial intelligent reflecting surface (IRS) assisted wireless networks. A multi-antenna access point (AP) serves multiple legitimate users in the presence of ... -
Privacy-Assisted Computation Offloading Schemes for Satellite-Ground Digital Twin Networks
(IEEE, 2023-01-01)The satellite-ground (SG) integrated networks are regarded as a promising network structure, which can provide ubiquitous intelligence and pervasive services for multiple ground users. Moreover, digital twin (DT) can drive ... -
A New Design of RIS-Aided Hybrid NOMA Offloading in Wireless Powered MEC Networks
(IEEE, 2023-01-01)We investigate a reconfigurable intelligent surface (RIS)-aided wireless powered mobile edge computing (MEC) network, where a new RIS-aided hybrid non-orthogonal multiple access (NOMA) offloading scheme is proposed to ... -
Contrastive Learning based Semantic Communication for Wireless Image Transmission
(IEEE, 2023-01-01)Recently, semantic communication has been widely applied in wireless image transmission systems as it can prioritize the preservation of meaningful semantic information in images over the accuracy of transmitted symbols, ... -
Enhancing the clinical relevance of haemorrhage prediction models in trauma
(BMC, 2023-09-20) -
Identification of major hemorrhage in trauma patients in the prehospital setting: diagnostic accuracy and impact on outcome.
(BMJ Publishing Group, 2024-01-12)BACKGROUND: Hemorrhage is the most common cause of potentially preventable death after injury. Early identification of patients with major hemorrhage (MH) is important as treatments are time-critical. However, diagnosis ... -
Asynchronous Federated Learning via Over-the-Air Computation
(IEEE, 2023-01-01)The emerging field of federated learning (FL) provides great potential for edge intelligence while protecting data privacy. However, as the system grows in scale or becomes more heterogeneous, new challenges, such as the ... -
Efficient Wireless Federated Learning with Adaptive Model Pruning
(IEEE, 2023-01-01)For wireless federated learning (FL), this work proposes an adaptive model pruning-based FL (AMP-FL) frame-work, where the edge server dynamically generates sub-models by pruning the global model to adapt devices' heterogeneous ... -
Enhancing Outage-Constrained Secure EE with RIS Under a Multi-Antenna Eavesdropper
(IEEE, 2023-01-01)Reconfigurable intelligent surface (RIS) has the potential to significantly enhance the physical layer security by reconfiguring the wireless propagation environment. However, due to the hostile nature of potential ... -
Exploiting Index Modulation for Enhanced NOMA
(IEEE, 2023-01-01)In the orthogonal frequency division multiplexing with index modulation (OFDM-IM) framework, we propose an enhanced non-orthogonal multiple access (NOMA) scheme called NOMA with informative envelope (NOMA-IE) to explore ... -
PPO-Based Energy-Efficient Power Control and Spectrum Allocation in In-Vehicle HetNets
(IEEE, 2023-01-01)With the rapid development of intelligent vehicles in recent years, in-vehicle heterogeneous networks (HetNets) incorporating base stations (BSs) and vehicle access points (VAPs) have been widely deployed to support the ... -
Secrecy Performance Analysis in STAR-RIS-Aided NOMA Networks
(2023-01-01)An analytical framework for physical layer security in simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted non-orthogonal multiple access (NOMA) transmissions is proposed, where ... -
Double QoS Guarantee for NOMA-Enabled Massive MTC Networks
(IEEE, 2022)Massive connections and diverse Quality of Service (QoS) requirements pose a major challenge for machine-type communication (MTC) networks. In this article, to satisfy the various QoS requirements of a massive number of ... -
Joint Optimization of Caching Placement and Trajectory for UAV-D2D Networks
(IEEE, 2022)With the exponential growth of data traffic in wireless networks, edge caching has been regarded as a promising solution to offload data traffic and alleviate backhaul congestion, where the contents can be cached by an ... -
Deep Learning Based Physical-Layer Receiver With Pre-Denoise
(2024-06-01)Traditional physical-layer receivers are typically composed of step-by-step serial processing modules heavily relying on complex hardware implementations and algorithms, where the optimal global performance cannot be ...