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Related papers: Low-High SNR Transition in Multiuser MIMO

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Cell-free massive MIMO is a variant of multiuser MIMO and massive MIMO, in which the total number of antennas $LM$ is distributed among the $L$ remote radio units (RUs) in the system, enabling macrodiversity and joint processing. Due to…

Information Theory · Computer Science 2022-06-09 Fabian Göttsch , Noboru Osawa , Takeo Ohseki , Kosuke Yamazaki , Giuseppe Caire

The two-stage precoding has been proposed to reduce the overhead of both the channel training and the channel state information (CSI) feedback for the massive multiple-input multiple-output (MIMO) system. But the overlap of the…

Information Theory · Computer Science 2017-06-19 Jianpeng Ma , Shun Zhang , Hongyan Li , Nan Zhao , Victor C. M. Leung

We investigate and solve the rate balancing problem in the downlink for a multiuser Multiple-Input-Multiple-Output (MIMO) system. In particular, we adopt a transceiver structure to maximize the worst-case rate of the user while satisfying a…

Signal Processing · Electrical Eng. & Systems 2019-06-14 Imene Ghamnia , Dirk Slock , Yi Yuan-Wu

Two key traits of 5G cellular networks are much higher base station (BS) densities - especially in the case of low-power BSs - and the use of massive MIMO at these BSs. This paper explores how massive MIMO can be used to jointly maximize…

Information Theory · Computer Science 2016-02-09 Qiaoyang Ye , Ozgun Y. Bursalioglu , Haralabos C. Papadopoulos , Constantine Caramanis , Jeffrey G. Andrews

Semantic Communication (SemCom) has emerged as a promising paradigm for 6G networks, aiming to extract and transmit task-relevant information rather than minimizing bit errors. However, applying SemCom to realistic downlink Multi-User…

Machine Learning · Computer Science 2026-02-17 Chongyang Li , Tianqian Zhang , Shouyin Liu

This paper studies a wireless-energy-transfer (WET) enabled massive multiple-input-multiple-output (MIMO) system (MM) consisting of a hybrid data-and-energy access point (H-AP) and multiple single-antenna users. In the WET-MM system, the…

Information Theory · Computer Science 2016-11-18 Gang Yang , Chin Keong Ho , Rui Zhang , Yong Liang Guan

Ultra-massive multiple-input multiple-output MIMO (UM-MIMO) leverages large antenna arrays at high frequencies, transitioning communication paradigm into the radiative near-field (NF), where spherical wavefronts enable full-vector…

Signal Processing · Electrical Eng. & Systems 2025-07-21 Ahmed Hussain , Asmaa Abdallah , Abdulkadir Celik , Ahmed M. Eltawil

MIMO processing plays a central part towards the recent increase in spectral and energy efficiencies of wireless networks. MIMO has grown beyond the original point-to-point channel and nowadays refers to a diverse range of centralized and…

Information Theory · Computer Science 2016-11-17 Bruno Clerckx , Hamdi Joudeh , Chenxi Hao , Mingbo Dai , Borzoo Rassouli

This paper investigates the linear precoder design for $K$-user interference channels of multiple-input multiple-output (MIMO) transceivers under finite alphabet inputs. We first obtain general explicit expressions of the achievable rate…

Information Theory · Computer Science 2016-11-18 Yongpeng Wu , Chengshan Xiao , Xiqi Gao , John D. Matyjas , Zhi Ding

To enhance the robustness and resilience of wireless communication and meet performance requirements, various environment-reflecting metrics, such as the signal-to-noise ratio (SNR), are utilized as the system parameter. To obtain these…

Signal Processing · Electrical Eng. & Systems 2026-01-16 Hanyoung Park , Ji-Woong Choi

Millimeter-wave (mmWave) massive multi-user multiple-input multiple-output (MU-MIMO) technology promises unprecedentedly high data rates for next-generation wireless systems. To be practically viable, mmWave massive MU-MIMO basestations…

Information Theory · Computer Science 2021-08-09 Oscar Castañeda , Gian Marti , Christoph Studer

This paper investigates new efficient transmission architectures for multi-satellite massive multiple-input multiple-output (MIMO). We study the weighted sum-rate maximization problem in a multi-satellite system where multiple satellites…

Signal Processing · Electrical Eng. & Systems 2026-03-24 Wenjing Cao , Yafei Wang , Jinshuo Zhang , Xiaofan Xu , Wenjin Wang , Symeon Chatzinotas , Björn Ottersten

Stacked Intelligent Metasurfaces (SIM) have emerged as a revolutionary architecture for next-generation wireless communications, offering wave-domain signal processing capabilities with significantly reduced hardware complexity compared to…

Information Theory · Computer Science 2026-01-22 Yuhui Jiao , Qian Zhang , Xuejun Cheng , Yunxiao Li , Yufei Zhao , Ju Liu , Yong Liang Guan

Massive multiple-input multiple-output (MIMO) is a key technology for emerging next-generation wireless systems. Utilizing large antenna arrays at base-stations, massive MIMO enables substantial spatial multiplexing gains by simultaneously…

Signal Processing · Electrical Eng. & Systems 2022-04-13 Ly V. Nguyen , Nhan T. Nguyen , Nghi H. Tran , Markku Juntti , A. Lee Swindlehurst , Duy H. N. Nguyen

The use of base stations (BSs) and access points (APs) with a large number of antennas, called Massive MIMO (multiple-input multiple-output), is a key technology for increasing the capacity of 5G networks and beyond. While originally…

Information Theory · Computer Science 2019-01-16 Emil Björnson , Liesbet Van der Perre , Stefano Buzzi , Erik G. Larsson

Massive multiple-input multiple-output (mMIMO) technology has transformed wireless communication by enhancing spectral efficiency and network capacity. This paper proposes a novel deep learning-based mMIMO precoder to tackle the complexity…

Signal Processing · Electrical Eng. & Systems 2025-02-14 Ali Hasanzadeh Karkan , Ahmed Ibrahim , Jean-François Frigon , François Leduc-Primeau

In this paper, we generalize the fundamental relation between the derivative of the mutual information and the minimum mean squared error (MMSE) to multiuser setups. We prove that the derivative of the mutual information with respect to the…

Information Theory · Computer Science 2017-03-27 Samah A. M. Ghanem

This paper presents a robust beam alignment technique for millimeter-wave communications in low signal-to-noise ratio (SNR) environments. The core strategy of our technique is to repeatedly transmit the most probable beam candidates to…

Information Theory · Computer Science 2023-12-05 Jihun Park , Yongjeong Oh , Jaewon Yun , Seonjung Kim , Yo-Seb Jeon

In this paper, we consider linear MIMO transceiver design for a cellular two-way amplify-and-forward relaying system consisting of a single multi-antenna base station, a single multi-antenna relay station, and multiple multi-antenna mobile…

Information Theory · Computer Science 2015-06-05 Eddy Chiu , Vincent K. N. Lau

Signal to Noise Ratio (SNR) is an important index for wireless communications. In CDMA systems, spreading sequences are utilized. This series of papers show the method to derive spreading sequences as the solutions of the non-linear…

Information Theory · Computer Science 2016-12-28 Hirofumi Tsuda , Ken Umeno