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In this manuscript we tackle the problem of semi-distributed user selection with distributed linear precoding for sum rate maximization in multiuser multicell systems. A set of adjacent base stations (BS) form a cluster in order to perform…

Information Theory · Computer Science 2015-04-29 Eduardo Castañeda , Adão Silva , Ramiro Samano-Robles , Atilio Gameiro

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

This paper investigates a reconfigurable intelligent surface (RIS)-aided multi-user multiple-input multiple-output (MIMO) system by considering only the statistical channel state information (CSI) at the base station (BS). We aim to…

Information Theory · Computer Science 2021-12-23 Huan Zhang , Shaodan Ma , Zheng Shi , Xin Zhao , Guanghua Yang

We propose a subspace constrained precoding scheme that exploits the spatial channel correlation structure in massive MIMO cellular systems to fully unleash the tremendous gain provided by massive antenna array with reduced channel state…

Information Theory · Computer Science 2016-11-17 An Liu , Vincent Lau

We propose an algorithm to maximize the instantaneous sum data rate transmitted by a base station in the downlink of a multiuser multiple-input, multiple-output system. The transmitter and the receivers may each be equipped with multiple…

Information Theory · Computer Science 2008-01-03 Adam J. Tenenbaum , Raviraj S. Adve

This paper studies a downlink multi-user multiple-input multiple-output (MU-MIMO) system, where the precoding matrix is computed at a baseband unit (BBU) and then transmitted to the remote antenna array over a limited-capacity digital…

Signal Processing · Electrical Eng. & Systems 2026-03-02 Yasaman Khorsandmanesh , Alva Kosasih , Emil Björnson , Joakim Jaldén

This paper investigates the achievable sum-rate of massive multiple-input multiple-output (MIMO) systems in the presence of channel aging. For the uplink, by assuming that the base station (BS) deploys maximum ratio combining (MRC) or…

Information Theory · Computer Science 2016-11-18 Chuili Kong , Caijun Zhong , Anastasios K. Papazafeiropoulos , Michail Matthaiou , Zhaoyang Zhang

Multi-antenna relaying has emerged as a promising technology to enhance the system performance in cellular networks. However, when precoding techniques are utilized to obtain multi-antenna gains, the system generally requires channel state…

Information Theory · Computer Science 2012-05-14 Wei Xu , Xiaodai Dong , Wu-Sheng Lu

In this paper, a downlink communication system, in which a Base Station (BS) equipped with $M$ antennas communicates with $N$ users each equipped with $K$ receive antennas, is considered. An efficient suboptimum algorithm is proposed for…

Information Theory · Computer Science 2007-07-13 Alireza Bayesteh , Amir Keyvan Khandani

In a multiuser MIMO broadcast channel, the rate performance is affected by the multiuser interference when the Channel State Information at the Transmitter (CSIT) is imperfect. To tackle the interference problem, a Rate-Splitting (RS)…

Information Theory · Computer Science 2016-11-15 Mingbo Dai , Bruno Clerckx , David Gesbert , Giuseppe Caire

In this work, we consider the problem of multiuser scheduling for the downlink of cell-free massive multi-input multi-output networks with clustering. In particular, we develop a multiuser scheduling algorithm based on an enhanced greedy…

Information Theory · Computer Science 2023-06-06 S. Mashdour , R. C. de Lamare , J. P. Sales

We investigate quantization and feedback of channel state information in a multiuser (MU) multiple input multiple output (MIMO) system. Each user may receive multiple data streams. Our design minimizes the sum mean squared error (SMSE)…

Information Theory · Computer Science 2011-11-30 Muhammad Nazmul Islam , Raviraj Adve

Coarsely quantized massive Multiple-Input Multiple-Output (MIMO) systems are gaining more interest due to their power efficiency. We present a new precoding technique to mitigate the Multi-User Interference (MUI) and the quantization…

Information Theory · Computer Science 2018-01-30 Hela Jedda , Amine Mezghani , A. Lee Swindlehurst , Josef A. Nossek

We consider linear precoding and decoding in the downlink of a multiuser multiple-input, multiple-output (MIMO) system, wherein each user may receive more than one data stream. We propose several mean squared error (MSE) based criteria for…

Information Theory · Computer Science 2009-02-10 Adam J. Tenenbaum , Raviraj S. Adve

This work presents a resource allocation algorithm in K-user, M-subcarrier and NT-antenna systems for on-line scheduling. To exploit temporal diversity and to reduce complexity, the ergodic sum rate is maximized instead of the instantaneous…

Signal Processing · Electrical Eng. & Systems 2018-03-21 Ana I. Pérez-Neira , Pol Henarejos , Velio Tralli , Miguel A. Lagunas

Orthogonal time frequency space (OTFS) modulation is a recently proposed delay-Doppler (DD) domain communication scheme, which has shown promising performance in general wireless communications, especially over high-mobility channels. In…

Information Theory · Computer Science 2023-01-31 Shuangyang Li , Jinhong Yuan , Paul Fitzpatrick , Taka Sakurai , Giuseppe Caire

It has been well known that the achievable rate of multiuser multiple-input multiple-output systems with limited feedback is severely degraded by quantization errors when the number of feedback bits is not sufficient. To overcome such a…

Information Theory · Computer Science 2024-07-09 Wentao Zhou , Di Zhang , Merouane Debbah , Inkyu Lee

In this paper, we study the performance of regularized channel inversion (RCI) precoding in large MISO broadcast channels with confidential messages (BCC). We obtain a deterministic approximation for the achievable secrecy sum-rate which is…

Information Theory · Computer Science 2016-11-17 Giovanni Geraci , Romain Couillet , Jinhong Yuan , Merouane Debbah , Iain B. Collings

Multi-antenna precoding effectively mitigates the interference in wireless networks. However, the resultant performance gains can be significantly compromised in practice if the precoder design fails to account for the inaccuracy in the…

Information Theory · Computer Science 2012-02-28 Kaibin Huang , Rui Zhang

Precoding with block diagonalization is an attractive scheme for approaching sum capacity in multiuser multiple input multiple output (MIMO) broadcast channels. This method requires either global channel state information at every receiver…

Information Theory · Computer Science 2007-07-13 Seijoon Shim , Chan-Byoung Chae , Robert W. Heath