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In this paper, we develop a framework to investigate the performances of different hybrid beamforming architectures for massive multiple input multiple output (MIMO) systems impaired by power amplifier (PA) nonlinearities. Indirect learning…

Information Theory · Computer Science 2021-03-01 Murat Babek Salman , Gokhan Muzaffer Guvensen

The coordination of prosumer-owned, behind-the-meter distributed energy resources (DER) can be achieved using a multiperiod, distributed optimal power flow (DOPF), which satisfies network constraints and preserves the privacy of prosumers.…

Computational Engineering, Finance, and Science · Computer Science 2022-03-10 Daniel Gebbran , Sleiman Mhanna , Archie C. Chapman , Wibowo Hardjawana , Branka Vucetic , Gregor Verbic

M-MIMO is one of the crucial technologies for increasing spectral and energy efficiency of wireless networks. Most of the current works assume that M-MIMO arrays are equipped with a linear front end. However, ongoing efforts to make…

Machine Learning · Computer Science 2026-04-20 Marcin Hoffmann , Paweł Kryszkiewicz

Compared to the error diffusion, dot diffusion provides an additional pixel-level parallelism for digital halftoning. However, even though its periodic and blocking artifacts had been eased by previous works, it was still far from…

Multimedia · Computer Science 2015-10-28 Yun-Fu Liu , Jing-Ming Guo

We consider discrete-time (DT) systems S in which a DT input is first tranformed to a continuous-time (CT) format by phase-amplitude modulation, then modified by a non-linear CT dynamical transformation F, and finally converted back to DT…

Systems and Control · Computer Science 2014-11-06 Omer Tanovic , Alexandre Megretski , Yan Li , Vladimir M. Stojanovic , Mitra Osqui

Nonlinearity mitigation using digital signal processing has been shown to increase the achievable data rates of optical fiber transmission links. One especially effective technique is digital back propagation (DBP), an algorithm capable of…

Signal Processing · Electrical Eng. & Systems 2018-08-31 Tom Sherborne , Benjamin Banks , Daniel Semrau , Robert I. Killey , Polina Bayvel , Domaniç Lavery

To meet strict Service-Level Objectives (SLOs),contemporary Large Language Models (LLMs) decouple the prefill and decoding stages and place them on separate GPUs to mitigate the distinct bottlenecks inherent to each phase. However, the…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-10 Junhan Liao , Minxian Xu , Wanyi Zheng , Yan Wang , Kejiang Ye , Rajkumar Buyya , Chengzhong Xu

The beam-oriented digital predistortion (BO-DPD) is not sufficient to linearize the output from a subarray of power amplifiers (PAs) in different directions except the desired direction. Therefore, subsequent to the BO-DPD operation, we…

Networking and Internet Architecture · Computer Science 2023-08-31 Ganesh Prasad , Håkan Johansson

While Time Division Duplexing (TDD) 5G New Radio (NR) networks offers higher downlink throughput due to the utilization of the middle frequency band, the uplink performance is negatively impacted due to higher path loss associated with…

Networking and Internet Architecture · Computer Science 2025-11-26 Kasidis Arunruangsirilert , Pasapong Wongprasert , Jiro Katto

In this work, dynamic load modulation of high power amplifiers using a varactor-based tunable matching network is presented. The feasibility of dynamic tuning and efficiency enhancement of this technique is demonstrated using a modular…

Other Computer Science · Computer Science 2012-10-25 Ali Soltani Tehrani , Hossein Mashad Nemati , Haiying Cao , Thomas Eriksson , Christian Fager

Despite the intensive recent research on wireless single-channel full-duplex communications, relatively little is known about the transceiver chain nonidealities of full-duplex devices. In this paper, the effect of nonlinear distortion…

Information Theory · Computer Science 2014-08-05 Dani Korpi , Taneli Riihonen , Ville Syrjälä , Lauri Anttila , Mikko Valkama , Risto Wichman

Depth enhancement, which uses RGB images as guidance to convert raw signals from dToF into high-precision, dense depth maps, is a critical task in computer vision. Although existing super-resolution-based methods show promising results on…

Computer Vision and Pattern Recognition · Computer Science 2025-07-30 Jijun Xiang , Xuan Zhu , Xianqi Wang , Yu Wang , Hong Zhang , Fei Guo , Xin Yang

We consider baseband equivalent representation of transmission circuits, in the form of a nonlinear dynamical system $\mathbf S$ in discrete time (DT) defined by a series interconnection of a phase-amplitude modulator, a nonlinear dynamical…

Systems and Control · Computer Science 2017-03-21 Omer Tanovic , Alexandre Megretski , Yan Li , Vladimir M. Stojanovic , Mitra Osqui

We present and implement the concept of the Fourier-domain dedispersion (FDD) algorithm, a brute-force incoherent dedispersion algorithm. This algorithm corrects the frequency-dependent dispersion delays in the arrival time of radio…

Instrumentation and Methods for Astrophysics · Physics 2022-01-05 C. G. Bassa , J. W. Romein , B. Veenboer , S. van der Vlugt , S. J. Wijnholds

In this paper, we describe a novel framework for digital predistortion (DPD) based linearization of strongly nonlinear millimeter-wave active antenna arrays. Specifically, we formulate a piecewise (PW) closed-loop (CL) DPD solution and…

Signal Processing · Electrical Eng. & Systems 2020-06-03 Alberto Brihuega , Mahmoud Abdelaziz , Lauri Anttila , Matias Turunen , Markus Allén , Thomas Eriksson , Mikko Valkama

This paper proposes a scheme for the envisioned sixth-generation (6G) ultra-massive Machine Type Communications(umMTC). In particular, wireless power transfer (WPT) assisted communication is deployed in non-orthogonal multiple access (NOMA)…

Signal Processing · Electrical Eng. & Systems 2023-03-14 Shiyu Jiao , Fang Fang , Zhiguo Ding

The use of deep learning methods for solving PDEs is a field in full expansion. In particular, Physical Informed Neural Networks, that implement a sampling of the physical domain and use a loss function that penalizes the violation of the…

Machine Learning · Computer Science 2021-12-08 Valentin Mercier , Serge Gratton , Pierre Boudier

In this paper, we propose a Doppler pre-compensation scheme for high-mobility orthogonal frequency division multiplexing (OFDM) uplink, where a high-speed terminal transmits signals to the base station (BS). Considering that the…

Information Theory · Computer Science 2017-04-24 Wei Guo , Weile Zhang , Pengcheng Mu , Feifei Gao , Bobin Yao

Delta-orthogonal multiple access (D-OMA) has been recently investigated as a potential technique to enhance the spectral efficiency in the sixth-generation (6G) networks. D-OMA enables partial overlapping of the adjacent sub-channels that…

Information Theory · Computer Science 2024-10-28 Ramin Hashemi , Hamzeh Beyranvand , Mohammad Robat Mili , Ata Khalili , Hina Tabassum , Derrick Wing Kwan Ng

In this paper, a quasi-asymmetric Doherty power amplifier (PA) is designed without load modulation using the GaAs 0.25{\mu}m pHEMT technology to reach an enlarged output power back-off (OPBO) with circuitry solutions in order to overcome…

Signal Processing · Electrical Eng. & Systems 2020-05-07 Seyedehmarzieh Rouhani , Ahmad Ghanaatian , Adib Abrishamifar , Majid Tayarani