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Neural network (NN)-based Digital Predistortion (DPD) has demonstrated superior performance in improving signal quality in wideband radio frequency (RF) power amplifiers (PAs) employing complex modulation. However, NN DPDs usually rely on a…

Signal Processing · Electrical Eng. & Systems 2025-12-18 Yizhuo Wu , Ang Li , Chang Gao

This paper focuses on the performance analysis of a class of limited peak-to-average power ratio (PAPR) precoders for downlink multi-user massive multiple-input multiple-output (MIMO) systems. Contrary to conventional precoding approaches…

Signal Processing · Electrical Eng. & Systems 2022-12-14 Xiuxiu Ma , Abla Kammoun , Ayed M. Alrashdi , Tarig Ballal , Tareq Y. Al-Naffouri , Mohamed-Slim Alouini

Owing to the complicated characteristics of 5G communication system, designing RF components through mathematical modeling becomes a challenging obstacle. Moreover, such mathematical models need numerous manual adjustments for various…

Signal Processing · Electrical Eng. & Systems 2021-06-16 Po-Yu Chen , Hao Chen , Yi-Min Tsai , Hsien-Kai Kuo , Hantao Huang , Hsin-Hung Chen , Sheng-Hong Yan , Wei-Lun Ou , Chia-Ming Cheng

Using precoding to suppress multi-user interference is a well-known technique to improve spectra efficiency in multiuser multiple-input multiple-output (MU-MIMO) systems, and the pursuit of high performance and low complexity precoding…

Information Theory · Computer Science 2022-07-11 Maojun Zhang , Jiabao Gao , Caijun Zhong

Digital backpropagation (DBP) is one of the most effective techniques for compensating nonlinear distortions in coherent optical fiber communication systems. However, its practical application to wideband transmission remains limited by…

In this paper, conditional denoising diffusion probabilistic models (DDPMs) are proposed to enhance the data transmission and reconstruction over wireless channels. The underlying mechanism of DDPM is to decompose the data generation…

Information Theory · Computer Science 2024-11-21 Mehdi Letafati , Samad Ali , Matti Latva-aho

Massive multiuser multiple-input multiple-output (MU-MIMO) has been the mainstream technology in fifth-generation wireless systems. To reduce high hardware costs and power consumption in massive MU-MIMO, low-resolution digital-to-analog…

Information Theory · Computer Science 2020-06-30 Hengtao He , Mengjiao Zhang , Shi Jin , Chao-Kai Wen , Geoffrey Ye Li

Peak-to-average power ratio (PAPR) remains a major limitation of multicarrier modulation schemes such as orthogonal frequency-division multiplexing (OFDM), reducing power amplifier efficiency and limiting practical transmit power. In this…

Information Theory · Computer Science 2026-03-26 Ran Greidi , Kobi Cohen

Benefiting from tens of GHz bandwidth, terahertz (THz) communication is considered to be a promising technology to provide ultra-high speed data rates for future 6G wireless systems. To compensate for the serious propagation attenuation of…

Information Theory · Computer Science 2022-03-08 Linglong Dai , Jingbo Tan , H. Vincent Poor

Maintaining high energy efficiency (EE) in wireless networks is crucial, particularly with the adoption of massive MIMO technology. This work introduces a resource allocation framework that jointly optimizes transmit power assigned to each…

Signal Processing · Electrical Eng. & Systems 2026-05-27 Siddarth Marwaha , Pawel Kryszkiewicz , Eduard Jorswieck

Nonlinear distortion of a multicarrier signal by a transmitter Power Amplifier (PA) can be a serious problem when designing new highly energy-efficient wireless systems. Although the performance of standard reception algorithms is seriously…

Networking and Internet Architecture · Computer Science 2025-06-09 Pawel Kryszkiewicz , Hanna Bogucka

Cell-free massive MIMO (multiple-input multiple-output) is a key enabler for the sixth generation (6G) of mobile networks, offering significant spectral and energy efficiency gains through user-centric operation of distributed access points…

Signal Processing · Electrical Eng. & Systems 2025-07-30 Özlem Tuğfe Demir , Emil Björnson

Massive multiple-input multiple-output (MIMO) systems achieve high sum spectral efficiency by offering an order of magnitude increase in multiplexing gains. In time division duplexing systems, however, the reuse of uplink training pilots…

Information Theory · Computer Science 2016-10-14 Ahmed Alkhateeb , Geert Leus , Robert W. Heath

We propose a method for channel training and precoding in FDD massive MIMO based on deep neural networks (DNNs), exploiting Downlink (DL) channel covariance knowledge. The DNN is optimized to maximize the DL multi-user sum-rate, by…

Information Theory · Computer Science 2023-03-21 Yi Song , Tianyu Yang , Mahdi Barzegar Khalilsarai , Giuseppe Caire

In this paper, we propose an emerging wavenumber-domain precoding scheme to break the limitations of rank-1 channels that merely supports single-stream transmission, enabling simultaneous transmission of multiple data streams. The proposed…

Signal Processing · Electrical Eng. & Systems 2024-09-23 Yuanbin Chen , Xufeng Guo , Tianqi Mao , Qingqing Wu , Zhaocheng Wang , Chau Yuen

Distributed phased arrays based multiple-input multiple-output (DPA-MIMO) is a recently proposed highly reconfigurable architecture enabling both spatial multiplexing and beamforming in millimeter-wave (mmWave) systems. In this work, we…

Information Theory · Computer Science 2019-08-27 Yu Zhang , Yiming Huo , Jinlong Zhan , Dongming Wang , Xiaodai Dong , Xiaohu You

Hybrid precoding is a cost-effective approach to support directional transmissions for millimeter-wave (mm-wave) communications, but its precoder design is highly complicated. In this paper, we propose a new hybrid precoder implementation,…

Signal Processing · Electrical Eng. & Systems 2019-05-28 Xianghao Yu , Jun Zhang , Khaled B. Letaief

Cell-free massive multiple-input multiple-output (MIMO) is a key technology for next-generation wireless systems. The integration of cell-free massive MIMO within the open radio access network (O-RAN) architecture addresses the growing need…

Signal Processing · Electrical Eng. & Systems 2026-05-04 Mohammad Hossein Shokouhi , Vincent W. S. Wong

Due to the nonlinearity of power amplifiers (PAs), the transmit signal is distorted. Previous works have studied the spatial distribution of this distortion for a central massive MIMO array. In this work, we extend the analysis for…

Signal Processing · Electrical Eng. & Systems 2021-06-21 François Rottenberg , Gilles Callebaut , Liesbet Van der Perre

Massive multi-user (MU) multiple-input multiple- output (MIMO) is widely believed to be a core technology for the upcoming fifth-generation (5G) wireless communication standards. The use of low-precision digital-to-analog converters (DACs)…

Information Theory · Computer Science 2016-12-09 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Tom Goldstein , Christoph Studer