Articles

AP cooperation in Wi-Fi: Joint transmission with a novel precoding scheme, resilient to phase offsets between transmitters

Multi Access-Point (M-AP) cooperation is expected to play a key role in the next-generation Wi-Fi standard (namely the upcoming IEEE WLAN 802.11bn/UHR, dubbed Wi-Fi-8), particularly in dense deployments where inter-cell interference hinders further increase in network capacity.

Active Learning via Predictive Normalized Maximum Likelihood Minimization

Machine learning systems require massive amounts of labeled training data in order to achieve high accuracy rates. Active learning uses feedback to label the most informative data points and significantly reduce the training set size. 

A Balanced Distributed Cascode Power Amplifier With an Integrated Chebyshev Load Balancer for Full-Duplex Wireless Operation

This work proposes a fully integrated transmitter front end based on a balanced distributed cascode power amplifier (BDC-PA) and a passive second-order reconfigurable reflective self-interference cancellation (SIC) filter for full-duplex wireless applications. The balanced topology provides inherent passive transmit–receive (TX–RX)...

Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query?

Text-image retrieval (T2I) refers to the task of recovering all images relevant to a keyword query. Popular datasets for text-image retrieval, such as Flickr30k, VG, or MS-COCO, utilize annotated image captions, e.g., “a man playing with a kid”, as a...

LINEAR LOG-NORMAL ATTENTION WITH UNBIASED CONCENTRATION

Transformer models have achieved remarkable results in a wide range of applications. However, their scalability is hampered by the quadratic time and memory complexity of the self-attention mechanism concerning the sequence length.

Non-magnetic four-port electronic circulators based on 90∘ non-reciprocal phase-shifters

This paper presents a family of four-port electronic circulators adhering to a new topology symmetry that enables linear, low-loss transistor-based circuit implementations. The underlying principle of operation employs a property of the 90∘ non-reciprocal phase shifter (NRPS) derived in this article. Under...

Rotation Invariant Quantization for Model Compression

Post-training Neural Network (NN) model compression is an attractive approach for deploying large, memory-consuming models on devices with limited memory resources. In this study, we investigate the rate-distortion tradeoff for NN model compression.

libFastMesh: An optimized finite-volume framework for computational aeroacoustics

This paper presents an optimized framework for simulating aeroacoustic flow on unstructured meshes. The libFastMesh (LFM) framework is based on a low-dissipation finite–volume discretization, together with high-order explicit time integration, for direct computation of aeroacoustic fields. These methods were previously...

Hyper Burst Buffer: A Lightweight Burst Buffer I/O Library for High Performance Computing Applications

The growth of computing power of large-scale HPC clusters has lead to the need for large high-bandwidth I/O systems. However, directly writing the large and bursty datasets to centralized parallel file systems can raise significant I/O contention issues on storage...