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Related papers: LO-Aware Adaptive Modulation for Rydberg Atomic Re…

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To efficiently train large-scale models, low-bit gradient communication compresses full-precision gradients on local GPU nodes into low-precision ones for higher gradient synchronization efficiency among GPU nodes. However, it often…

Machine Learning · Computer Science 2024-12-02 Xingyu Xie , Zhijie Lin , Kim-Chuan Toh , Pan Zhou

We theoretically study a scheme to develop an atomic based MW interferometry using the Rydberg states in Rb. Unlike the traditional MW interferometry, this scheme is not based upon the electrical circuits, hence the sensitivity of the phase…

Atomic Physics · Physics 2017-05-24 Dangka Shylla , Elijah Ogaro , Kanhaiya Pandey

In this paper, an improved receiver based on diversity combining is proposed to improve the bit error rate (BER) performance of layered asymmetrically clipped optical fast orthogonal frequency division multiplexing (ACO-FOFDM) for…

Information Theory · Computer Science 2017-07-26 Mengqi Guo , Ji Zhou , Xizi Tang , Fan Hu , Jia Qi , Yaojun Qiao , Aiying Yang , Yueming Lu

The electric field measurement sensitivity based on the Rydberg atomic vapor cell has great theoretical advantages over traditional dipole antennas. We combine the Rydberg atomic heterodyne receiver and the Mach-Zehnder interferometer (MZI)…

Atomic Physics · Physics 2023-09-29 Shanchi Wu , Chen Gong , Rui Ni

The rapid development of the quantum technology presents huge opportunities for 6G communications. Leveraging the quantum properties of highly excited Rydberg atoms, Rydberg atom-based antennas present distinct advantages, such as high…

Information Theory · Computer Science 2025-06-10 Bokai Xu , Jiayi Zhang , Zhongtao Chen , Bingyang Cheng , Ziheng Liu , Yik-Chung Wu , Bo Ai

Millimeter wave is a promising technology for the next generation of wireless systems. As it is well-known for its high path loss, the systems working in this spectrum tend to exploit the shorter wavelength to equip the transceivers with a…

Information Theory · Computer Science 2018-01-12 Sina Shaham , Matthew Kokshoorn , Zihuai Lin , Ming Ding

Nonlinear distortion in power amplifiers (PA) can significantly degrade performance of orthogonal frequency division multiplexed (OFDM) communication systems. This paper presents a joint maximum-likelihood channel frequency response and…

Information Theory · Computer Science 2016-12-30 Sergey V. Zhidkov

Orbital angular momentum (OAM) at radio-frequency provides a novel approach of multiplexing a set of orthogonal modes on the same frequency channel to achieve high spectral efficiencies. However, classical phase gradient-based OAM mode…

Signal Processing · Electrical Eng. & Systems 2021-12-01 Jiabei Fan , Rui Chen , Wen-Xuan Long , Marco Moretti , Jiandong Li

Physical layer key generation based on reciprocal and random wireless channels has been an attractive solution for securing resource-constrained low-power wide-area networks (LPWANs). When quantizing channel measurements, namely received…

Signal Processing · Electrical Eng. & Systems 2023-10-13 Chen Chen , Junqing Zhang , Yingying Chen

High order modulation formats constitute the most prominent way for increasing spectral efficiency in transmission systems. Coherent transceivers that support such higher order formats require heavy digital signal processing (DSP), which…

We propose Convolutional Block Attention Module (CBAM), a simple yet effective attention module for feed-forward convolutional neural networks. Given an intermediate feature map, our module sequentially infers attention maps along two…

Computer Vision and Pattern Recognition · Computer Science 2018-07-19 Sanghyun Woo , Jongchan Park , Joon-Young Lee , In So Kweon

Rydberg atomic quantum receivers have been seen as novel radio frequency measurements and the high sensitivity to a large range of frequencies makes it attractive for communications reception. However, their unique physical characteristics…

Signal Processing · Electrical Eng. & Systems 2025-09-24 Hao Wu , Xinyuan Yao , Rui Ni , Chen Gong , Kaibin Huang

It has been shown that the coherent detection of LoRa signals only provides marginal gains of around 0.7 dB on the additive white Gaussian noise (AWGN) channel. However, ALOHA-based massive Internet of Things systems, including LoRa, often…

Signal Processing · Electrical Eng. & Systems 2020-10-02 Orion Afisiadis , Sitian Li , Andreas Burg , Alexios Balatsoukas-Stimming

Effectively integrating molecular graph structures with Large Language Models (LLMs) is a key challenge in drug discovery. Most existing multi-modal alignment methods typically process these structures by fine-tuning the LLM or adding a…

Machine Learning · Computer Science 2025-10-15 Tao Yin , Xiaohong Zhang , Jiacheng Zhang , Li Huang , Zhibin Zhang , Yuansong Zeng , Jin Xie , Meng Yan

Non-orthogonal multiple access (NOMA) has been proposed for massive connectivity in future generations of wireless communications. A dominant NOMA scheme is based on power optimization, in which decoding of target user is assumed to be…

Information Theory · Computer Science 2018-10-23 Kun Wang

Rydberg atom-based electrometry enables traceable electric field measurements with high sensitivity over a large frequency range, from gigahertz to terahertz. Such measurements are particularly useful for the calibration of radio frequency…

Quantum Physics · Physics 2017-04-26 Santosh Kumar , Haoquan Fan , Harald Kübler , Akbar J. Jahangiri , James P. Shaffer

The D-band offering an untapped wide bandwidth is promising for high data rate communication and high-resolution wireless sensing. However, these potentials are hindered by the low performance and energy efficiency of the D-band circuits…

Signal Processing · Electrical Eng. & Systems 2025-12-15 Subbarao Korlapati , Reza Nikandish

Conventional Low-Rank Adaptation (LoRA) methods employ a fixed rank, imposing uniform adaptation across transformer layers and attention heads despite their heterogeneous learning dynamics. This paper introduces Adaptive Rank Dynamic LoRA…

Machine Learning · Computer Science 2025-12-19 Haseeb Ullah Khan Shinwari , Muhammad Usama

Millimeter-wave (mmWave) networks offer the potential for high-speed data transfer and precise localization, leveraging large antenna arrays and extensive bandwidths. However, these networks are challenged by significant path loss and…

Social and Information Networks · Computer Science 2023-12-29 Wan-Ting Shih , Chao-Kai Wen , Shang-Ho Tsai , Shi Jin , Chau Yuen

Rydberg-atom sensors convert radiofrequency, microwave and terahertz fields into optical signals with SI-traceable calibration, high sensitivity, and broad tunability. This review assesses their potential for space applications by comparing…