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Related papers: Model-Free Robust Beamforming in Satellite Downlin…

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We consider energy-efficient multi-user hybrid downlink beamforming (BF) and power allocation under imperfect channel state information (CSI) and probabilistic outage constraints. In this domain, classical optimization methods resort to…

Signal Processing · Electrical Eng. & Systems 2026-01-08 Lukas Schynol , Marius Pesavento

Satellite communications (SatCom) are crucial for global connectivity, especially in the era of emerging technologies like 6G and narrowing the digital divide. Traditional SatCom systems struggle with efficient resource management due to…

Reliable downlink communication in satellite-to-underground networks remains challenging due to severe signal attenuation caused by underground soil and refraction in the air-soil interface. To address this, we propose a novel cooperative…

Networking and Internet Architecture · Computer Science 2026-03-27 Kaiqiang Lin , Kangchun Zhao , Yijie Mao

In this letter, we consider the coexistence and spectrum sharing between downlink multi-user multiple-input-multiple-output (MU-MIMO) communication and a MIMO radar. For a given performance requirement of the downlink communication system,…

Information Theory · Computer Science 2017-07-04 Fan Liu , Christos Masouros , Ang Li , Tharmalingam Ratnarajah

Modern radio telescopes produce unprecedented amounts of data, which are passed through many processing pipelines before the delivery of scientific results. Hyperparameters of these pipelines need to be tuned by hand to produce optimal…

Instrumentation and Methods for Astrophysics · Physics 2021-05-26 Sarod Yatawatta , Ian M. Avruch

Ensuring network resilience in 6G and beyond is essential to maintain service continuity during base station (BS) outages due to failures, disasters, attacks, or energy-saving operations. This paper proposes a novel resilience optimization…

Networking and Internet Architecture · Computer Science 2026-02-03 Dinh-Hieu Tran , Nguyen Van Huynh , Van Nhan Vo , Madyan Alsenwi , Eva Lagunas , Symeon Chatzinotas

This paper deals with the problem of precoding in multibeam satellite systems. In contrast to general multiuser multiple-input-multiple-output (MIMO) cellular schemes, multibeam satellite architectures suffer from different challenges.…

Information Theory · Computer Science 2016-12-14 Vahid Joroughi , Miguel Ángel Vázquez , Ana I. Pérez-Neira

In this letter, we study the robust beamforming problem for the multi-antenna wireless broadcasting system with simultaneous information and power transmission, under the assumption of imperfect channel state information (CSI) at the…

Information Theory · Computer Science 2012-10-23 Zhengzheng Xiang , Meixia Tao

Recent advancement in next generation reconfigurable antenna and fluid antenna technology has influenced the wireless system with polarization reconfigurable (PR) channels to attract significant attention for promoting beneficial channel…

Signal Processing · Electrical Eng. & Systems 2025-08-19 Seungcheol Oh , Han Han , Joongheon Kim , Sean Kwon

Simultaneous multiuser beamforming in multiantenna downlink channels can entail dirty paper (DP) precoding (optimal and high complexity) or linear precoding (suboptimal and low complexity) approaches. The system performance is typically…

Information Theory · Computer Science 2013-07-22 Serdar Ozyurt , Murat Torlak

Quantum entanglement distributed via satellites enable global-scale quantum communication. However, onboard sources are susceptible to misalignment due to dynamical orbital conditions. Here, we present two recalibration techniques for…

Quantum Physics · Physics 2026-01-26 Andrzej Gajewski , Robert Okuła , Marcin Pawłowski , Akshata Shenoy H

A whole suite of innovative technologies and architectures have emerged in response to the rapid growth of wireless traffic. This paper studies an integrated network design that boosts system capacity through cooperation between wireless…

Information Theory · Computer Science 2022-12-22 Trinh Van Chien , Eva Lagunas , Tiep M. Hoang , Symeon Chatzinotas , Björn Ottersten , Lajos Hanzo

Deep-learning-based methods for different applications have been shown vulnerable to adversarial examples. These examples make deployment of such models in safety-critical tasks questionable. Use of deep neural networks as inverse problem…

Machine Learning · Computer Science 2020-02-28 Ankit Raj , Yoram Bresler , Bo Li

This paper proposes a robust beamforming scheme to enhance the physical layer security (PLS) of multicast transmission in a cognitive satellite and aerial network (CSAN) operating in the millimeter wave frequency band. Based on imperfect…

Signal Processing · Electrical Eng. & Systems 2021-05-14 Bai Zhao , Min Lin , Ming Cheng , Wei-Ping Zhu , Naofal Al-Dhahir

The design of beamforming for downlink multi-user massive multi-input multi-output (MIMO) relies on accurate downlink channel state information (CSI) at the transmitter (CSIT). In fact, it is difficult for the base station (BS) to obtain…

Signal Processing · Electrical Eng. & Systems 2023-07-20 Zhenyuan Feng , Bruno Clerckx

We study joint downlink-uplink beamforming design for wireless federated learning (FL) with a multi-antenna base station. Considering analog transmission over noisy channels and uplink over-the-air aggregation, we derive the global model…

Information Theory · Computer Science 2023-07-04 Chong Zhang , Min Dong , Ben Liang , Ali Afana , Yahia Ahmed

This paper considers the discrete Fourier transform (DFT) based hybrid beamforming multiuser system and studies the use of analog beam selection schemes. We first analyze the uplink ergodic achievable rates of the zero-forcing (ZF) receiver…

Information Theory · Computer Science 2018-07-04 Yu Han , Shi Jin , Jun Zhang , Jiayi Zhang , Kai-Kit Wong

The emergence of new wireless technologies together with the requirement of massive connectivity results in several technical issues such as excessive interference, high computational demand for signal processing, and lengthy processing…

Signal Processing · Electrical Eng. & Systems 2021-10-25 Firas Fredj , Yasser Al-Eryani , Setareh Maghsudi , Mohamed Akrout , Ekram Hossain

This work investigates the problem of downlink transmit precoding for physical layer multicasting with a limited number of radio-frequency (RF) chains. To tackle the RF hardware constraint, we consider a hybrid precoder that is partitioned…

Information Theory · Computer Science 2016-11-17 Mingbo Dai , Bruno Clerckx

With the rise of powerful foundation models, a pre-training-fine-tuning paradigm becomes increasingly popular these days: A foundation model is pre-trained using a huge amount of data from various sources, and then the downstream users only…

Machine Learning · Computer Science 2025-04-16 Meiqi Liu , Zhuoqun Huang , Yue Xing
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