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In this paper, we study the hybrid precoding structures over limited feedback channels for massive multiuser multiple-input multiple-output (MIMO) systems. We focus on the system performance of hybrid precoding under a more realistic…

Information Theory · Computer Science 2018-06-11 Jingbo Du , Wei Xu , Hong Shen , Xiaodai Dong , Chunming Zhao

Massive multi-input multiple-out (MIMO) is a key ingredient in improving the spectral efficiencies for next-generation cellular systems. Thanks to the channel reciprocity, in time-division-duplexing mode, each base station (BS) can acquire…

Signal Processing · Electrical Eng. & Systems 2021-07-30 Deokhwan Han , Namyoon Lee

The space limitation and the channel acquisition prevent Massive MIMO from being easily deployed in a practical setup. Motivated by current deployments of LTE-Advanced, the use of multi-polarized antennas can be an efficient solution to…

Information Theory · Computer Science 2015-01-13 Jaehyun Park , Bruno Clerckx

The focus of this paper is on spatial precoding in correlated multi-antenna channels, where the number of independent data-streams is adapted to trade-off the data-rate with the transmitter complexity. Towards the goal of a low-complexity…

Information Theory · Computer Science 2009-09-29 Vasanthan Raghavan , Akbar Sayeed , Venu Veeravalli

Consider media streaming in MIMO interference networks whereby multiple base stations (BS) simultaneously deliver media to their associated users using fixed data rates. The performance is fundamentally limited by the cross-link…

Information Theory · Computer Science 2013-11-26 An Liu , Vincent Lau

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

This paper investigates the capacity scaling of multicell massive MIMO systems in the presence of spatially correlated fading. In particular, we focus on the strong spatial correlation regimes where the covariance matrix of each user…

Information Theory · Computer Science 2019-12-10 Junyoung Nam , Giuseppe Caire , Merouane Debbah , H. Vincent Poor

Massive Multiple-Input Multiple-Output (MIMO)communications uses a large number of antennas at the base station to increase the data rate and user density in future wireless systems. For simulation, it has become common practice to use…

Information Theory · Computer Science 2018-04-18 Maximilian Arnold , Marc Gauger , Stephan ten Brink

This paper studies multi-satellite multi-stream (MSMS) beamspace transmission, where multiple satellites cooperate to form a distributed multiple-input multiple-output (MIMO) system and jointly deliver multiple data streams to multi-antenna…

Signal Processing · Electrical Eng. & Systems 2025-12-29 Yafei Wang , Yiming Zhu , Vu Nguyen Ha , Wenjin Wang , Rui Ding , Symeon Chatzinotas , Björn Ottersten

This paper studies the design of a decentralized multiuser multi-antenna (MIMO) system for spectrum sharing over a fixed narrow band, where the coexisting users independently update their transmit covariance matrices for individual…

Information Theory · Computer Science 2009-05-22 Rui Zhang , John M. Cioffi

Multi-user multi-input-multi-output (MU-MIMO) systems transmit data to multiple users simultaneously using the spatial degrees of freedom with user feedback channel state information (CSI). Most of the existing literatures on the reduced…

Systems and Control · Computer Science 2013-11-20 Junting Chen , Vincent K. N. Lau

Neural networks have been applied to the physical layer of wireless communication systems to solve complex problems. In millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, hybrid precoding has been considered as…

Networking and Internet Architecture · Computer Science 2019-03-22 Jing Yang , Kai Chen , Xiaohu Ge , Yonghui Li , Lin Tian

The evolution of mobile networks towards user-centric cell-free distributed Massive MIMO configurations requires the development of novel signal processing techniques. More specifically, digital precoding algorithms have to be designed or…

Signal Processing · Electrical Eng. & Systems 2025-11-10 Emiel Vanspranghels , Raquel Marina Noguera Oishi , Franco Minucci , Sofie Pollin

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

Future smart ocean applications require long distance and reliable communications to connect underwater sensors/robots with remote surface base stations. It is challenging to achieve such goal due to the harsh and dynamic underwater…

Signal Processing · Electrical Eng. & Systems 2019-10-28 Zhangyu Li , Soham Desai , Vaishnendr D Sudev , Pu Wang , Jinsong Han , Zhi Sun

Downlink massive multiple-input multiple-output (MIMO) precoding algorithms in frequency division duplexing (FDD) systems rely on accurate channel state information (CSI) feedback from users. In this paper, we analyze the tradeoff between…

Information Theory · Computer Science 2023-10-25 Fabrizio Carpi , Sivarama Venkatesan , Jinfeng Du , Harish Viswanathan , Siddharth Garg , Elza Erkip

In this paper, we propose a novel joint caching and massive multiple-input multiple-output (MIMO) transmission scheme, referred to as cache-aided massive MIMO, for advanced downlink cellular communications. In addition to reaping the…

Signal Processing · Electrical Eng. & Systems 2019-03-25 Xiao Wei , Lin Xiang , Laura Cottatellucci , Tao Jiang , Robert Schober

Precoding is a method of compensating the channel at the transmitter. This work presents a novel method of data detection in turbo coded single user massive multiple input multiple output (MIMO) systems using precoding. We show via computer…

Information Theory · Computer Science 2020-08-03 K. Vasudevan , Gyanesh Kumar Pathak , A. Phani Kumar Reddy

The downlink channel state information (CSI) estimation and low overhead acquisition are the major challenges for massive MIMO systems in frequency division duplex to enable high MIMO gain. Recently, numerous studies have been conducted to…

Information Theory · Computer Science 2023-08-07 Mingming Zhao , Lin Liu , Lifu Liu , Mengke Li , Qi Tian

Imagine a coverage area with many wireless access points that cooperate to jointly serve the users, instead of creating autonomous cells. Such a cell-free network operation can potentially resolve many of the interference issues that appear…

Information Theory · Computer Science 2020-05-11 Emil Björnson , Luca Sanguinetti