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Joint communications and sensing (JCAS) is envisioned as a key feature in future wireless communications networks. In massive MIMO-JCAS systems, hybrid beamforming (HBF) is typically employed to achieve satisfactory beamforming gains with…

Information Theory · Computer Science 2023-07-11 Nhan Thanh Nguyen , Ly V. Nguyen , Nir Shlezinger , Yonina C. Eldar , A. Lee Swindlehurst , Markku Juntti

This paper studies a full-duplex filter-and-forward (FD-FF) relay system in frequency-selective channels. Conventionally, the loop-back signal at the FD relay is treated as harmful self-interference and needs to be significantly suppressed…

Information Theory · Computer Science 2016-07-05 Jie Xu , Lingjie Duan , Rui Zhang

A neural network is essentially a high-dimensional complex mapping model by adjusting network weights for feature fitting. However, the spectral bias in network training leads to unbearable training epochs for fitting the high-frequency…

Signal Processing · Electrical Eng. & Systems 2021-06-22 Zhi Zeng , Pengpeng Shi , Fulei Ma , Peihan Qi

Modern wireless cellular networks use massive multiple-input multiple-output (MIMO) technology. This technology involves operations with an antenna array at a base station that simultaneously serves multiple mobile devices which also use…

Information Theory · Computer Science 2023-07-26 Evgeny Bobrov , Boris Chinyaev , Viktor Kuznetsov , Hao Lu , Dmitrii Minenkov , Sergey Troshin , Daniil Yudakov , Danila Zaev

In this paper, two novel hybrid beamforming methods are proposed to reduce the cost and power consumption of hybrid beamformers with subconnected phase shifter network structure in massive multiple-input multiple-output (MIMO) systems. This…

Information Theory · Computer Science 2017-12-07 Sohail Payami , Mir Ghoraishi , Mehrdad Dianati , Mathini Sellathurai

In this letter, we investigate the hybrid beamforming for millimeter wave massive multiple-input multiple-output (MIMO) system based on deep reinforcement learning (DRL). Imperfect channel state information (CSI) is assumed to be available…

Signal Processing · Electrical Eng. & Systems 2020-06-22 Qisheng Wang , Keming Feng , Xiao Li , Shi Jin

To satisfy the capacity requirements of future mobile systems, under-utilized millimeter wave frequencies can be efficiently exploited by employing massive MIMO technology with highly directive beamforming. Hybrid analog-digital beamforming…

Signal Processing · Electrical Eng. & Systems 2020-12-08 Mohammad Majidzadeh , Jarkko Kaleva , Nuutti Tervo , Harri Pennanen , Antti Tolli , Matti Latva-aho

Ultra-massive multiple-input multiple-output (UM-MIMO) technology is a key enabler for 6G networks, offering exceptional high data rates in millimeter-wave (mmWave) and Terahertz (THz) frequency bands. The deployment of large antenna arrays…

Signal Processing · Electrical Eng. & Systems 2025-03-19 Ahmed Hussain , Asmaa Abdallah , Abdulkadir Celik , Ahmed M. Eltawil

Accurate and adaptive network throughput prediction is essential for latency-sensitive and bandwidth-intensive applications in 5G and emerging 6G networks. However, most existing methods rely on centralized training with uniformly collected…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-13 Yuvraj Dutta , Soumyajit Chatterjee , Sandip Chakraborty , Basabdatta Palit

In this paper, the performance optimization of federated learning (FL), when deployed over a realistic wireless multiple-input multiple-output (MIMO) communication system with digital modulation and over-the-air computation (AirComp) is…

Information Theory · Computer Science 2024-04-26 Sihua Wang , Mingzhe Chen , Cong Shen , Changchuan Yin , Christopher G. Brinton

Analog-to-digital conversion (ADC) is a key bottleneck in scaling DSP-centric receiver architectures to multiGigabit/s speeds. Recent information-theoretic results, obtained under ideal channel conditions (perfect synchronization, no…

Information Theory · Computer Science 2011-12-21 Jaspreet Singh , Upamanyu Madhow

Federated learning (FL) has emerged as a prominent machine learning paradigm in edge computing environments, enabling edge devices to collaboratively optimize a global model without sharing their private data. However, existing FL…

Machine Learning · Computer Science 2024-12-10 Yongzhe Jia , Xuyun Zhang , Hongsheng Hu , Kim-Kwang Raymond Choo , Lianyong Qi , Xiaolong Xu , Amin Beheshti , Wanchun Dou

Beamforming and precoding/combining are techniques aimed at processing multiantenna signals at the transmitter and/or at the receiver of a wireless communication system. While they have been routinely used to improve performance in current…

Signal Processing · Electrical Eng. & Systems 2020-04-13 Donatella Darsena , Giacinto Gelli , Francesco Verde

We present a hybrid signaling approach to position energy-neutral devices. Our method combines the best of two worlds: instant RF signals for both communication and energy transfer, and slower propagating acoustic waves for accurate…

Signal Processing · Electrical Eng. & Systems 2020-12-04 Bert Cox , Chesney Buyle , Liesbet Van der Perre , Lieven De Strycker

Hybrid analog/digital precoding allows millimeter wave MIMO systems to leverage large antenna array gains while permitting low cost and power consumption hardware. Most prior work has focused on hybrid precoding for narrow-band mmWave…

Information Theory · Computer Science 2016-01-28 Ahmed Alkhateeb , Robert W. Heath

Future cellular systems based on the use of above-6 GHz frequencies, the so-called millimeter wave (mmWave) bandwidths, will heavily rely on the use of antenna arrays both at the transmitter and at the receiver, possibly with a large number…

Information Theory · Computer Science 2016-10-25 Stefano Buzzi , Carmen D'Andrea

Full duplex (FD) is an auspicious wireless technology that holds the potential to double data rates through simultaneous transmission and reception. This paper proposes two innovative designs of hybrid beamforming (HYBF) for a multicell…

Information Theory · Computer Science 2023-06-02 Chandan Kumar Sheemar , Symeon Chatzinotas , Dirk Slock , Eva Lagunas , Jorge Querol

Given the high throughput requirement for 5G, merging millimeter wave technologies and multi-user MIMO seems a very promising strategy. As hardware limitations impede to realize a full digital architecture, hybrid MIMO architectures, using…

Information Theory · Computer Science 2018-04-10 Steve Blandino , Claude Desset , Cheng-Ming Chen , Andre Bourdoux , Sofie Pollin

5G systems aim to achieve extremely high data rates, low end-to-end latency and ultra-low power consumption. Recently, there has been considerable interest in the design of 5G physical layer waveforms. One important candidate is Generalised…

Signal Processing · Electrical Eng. & Systems 2017-10-27 Ghaith R. Al-Juboori , David Halls , Angela Doufexi , Andrew R. Nix

With the congestion of the sub-6 GHz spectrum, the interest in massive multiple-input multiple-output (MIMO) systems operating on millimeter wave spectrum grows. In order to reduce the power consumption of such massive MIMO systems, hybrid…

Information Theory · Computer Science 2018-06-18 Lucas N. Ribeiro , Stefan Schwarz , Markus Rupp , André L. F. de Almeida
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