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Related papers: Large-System Analysis of Joint User Selection and …

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Large-scale distributed-antenna system (L-DAS) with very large number of distributed antennas, possibly up to a few hundred antennas, is considered. A few major issues of the L-DAS, such as high latency, energy consumption, computational…

Information Theory · Computer Science 2015-06-18 Jingon Joung , Yeow Khiang Chia , Sumei Sun

This paper proposes the nonlinear Least Square Error (LSE) precoders for multiuser MIMO broadcast channels. The output signals of LSE Precoders are limited to be chosen from a predefined set which let these precoders address several…

Information Theory · Computer Science 2017-08-09 Mohammad Ali Sedaghat , Ali Bereyhi , Ralf Mueller

Applying Nearest Convex Hull Classification (NCHC) to blind user identification in a massive Multiple Input Multiple Output (MIMO) communications system is proposed. The method is blind in the way that the Base Station (BS) only requires a…

Signal Processing · Electrical Eng. & Systems 2026-02-11 Levi Bohnacker , Ralf R. Müller

A hybrid architecture for millimeter wave (mmW) massive MIMO systems is considered practically implementable due to low power consumption and high energy efficiency. However, due to the limited number of RF chains, user selection becomes…

Signal Processing · Electrical Eng. & Systems 2020-07-01 Salman Khalid , Waqas bin Abbas , Farhan Khalid , Michele Zorzi

This paper jointly optimizes the precoding matrices and the set of active remote radio heads (RRHs) to minimize the network power consumption (NPC) for a user-centric cloud radio access network (C-RAN), where both the RRHs and users have…

Information Theory · Computer Science 2017-02-14 Cunhua Pan , Huiling Zhu , Nathan J. Gomes , Jiangzhou Wang

This paper investigates a robust joint power allocation and beamforming scheme for in-band full-duplex multi-cell multi-user (IBFD-MCMU) networks. A mean-squared error (MSE) minimization problem is formulated with constraints on the power…

Information Theory · Computer Science 2024-03-19 Haifeng Luo , Navneet Garg , Mark Holm , Tharmalingam Ratnarajah

We analyze a slow-fading interference network with MN non-cooperating single-antenna sources and M non-cooperating single-antenna destinations. In particular, we assume that the sources are divided into M mutually exclusive groups of N…

Information Theory · Computer Science 2007-10-09 J. Thukral , H. Bölcskei

This paper is concerned with massive-MIMO systems over Rician flat fading channels. In order to reduce the overhead to obtain full channel state information and to avoid the pilot contamination problem, by treating the scattered component…

Information Theory · Computer Science 2014-12-09 Dian-Wu Yue , Geoffrey Ye Li

Massive multiuser (MU) multiple-input multiple-output (MIMO) will be a core technology in fifth-generation (5G) wireless systems as it offers significant improvements in spectral efficiency compared to existing multi-antenna technologies.…

Information Theory · Computer Science 2017-11-09 Oscar Castañeda , Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Tom Goldstein , Christoph Studer

This work revisits a recently proposed precoding design for massive multiple-input multiple output (MIMO) systems that is based on the use of an instantaneous total power constraint. The main advantages of this technique lie in its…

Information Theory · Computer Science 2016-06-02 Houssem Sifaou , Abla Kammoun , Mohamed-Slim Alouini

We present efficient algorithms for the sum-spectral efficiency (SE) maximization of the multi-user reconfigurable intelligent surface (RIS)-aided multiple-input multiple-output (MIMO) broadcast channel based on a zero-forcing approach.…

Information Theory · Computer Science 2023-11-21 Dominik Semmler , Michael Joham , Wolfgang Utschick

Massive multiple-input multiple-output (MIMO) systems require downlink channel state information (CSI) at the base station (BS) to achieve spatial diversity and multiplexing gains. In a frequency division duplex (FDD) multiuser massive MIMO…

Signal Processing · Electrical Eng. & Systems 2020-09-09 Mahdi Boloursaz Mashhadi , Qianqian Yang , Deniz Gunduz

We propose techniques for optimizing transmit beamforming in a full-duplex multiple-input-multiple-output (MIMO) wireless-powered communication system, which consists of two phases. In the first phase, the wireless-powered mobile station…

Information Theory · Computer Science 2017-05-12 Batu K. Chalise , Himal A. Suraweera , Gan Zheng , George K. Karagiannidis

In a wireless system with a large number of distributed nodes, the quality of communication can be greatly improved by pooling the nodes to perform joint transmission/reception. In this paper, we consider the problem of optimally selecting…

Information Theory · Computer Science 2013-10-08 Mingyi Hong , Zi Xu , Meisam Razaviyayn , Zhi-Quan Luo

Cell-free massive MIMO (CF mMIMO) is a promising next generation wireless architecture to realize federated learning (FL). However, sensitive information of user equipments (UEs) may be exposed to the involved access points or the central…

Information Theory · Computer Science 2022-12-01 Jiayi Zhang , Jing Zhang , Derrick Wing Kwan Ng , Bo Ai

We introduce a class of nonlinear least square error precoders with a general penalty function for multiuser massive MIMO systems. The generality of the penalty function allows us to consider several hardware limitations including…

Information Theory · Computer Science 2017-04-24 Ali Bereyhi , Mohammad Ali Sedaghat , Saba Asaad , Ralf R. Müller

When the Channel State Information (CSI) is known by both the transmitter and the receiver, beamforming techniques employing Singular Value Decomposition (SVD) are commonly used in Multiple-Input Multiple-Output (MIMO) systems. Without…

Information Theory · Computer Science 2013-07-02 Boyu Li , Ender Ayanoglu

This paper characterizes the degrees of freedom (DoF) regions for the multi-user vector broadcast channel with periodic channel state information (CSI) feedback. As a part of the characterization, a new transmission method called space-time…

Information Theory · Computer Science 2013-08-16 Namyoon Lee , Robert Heath

Coded caching provides significant gains over conventional uncoded caching by creating multicasting opportunities among distinct requests. Massive multiple-input multiple-output (MIMO) systems require downlink channel state information…

Information Theory · Computer Science 2019-07-08 Qianqian Yang , Mahdi Boloursaz Mashhadi , Deniz Gündüz

The sum-rate of the broadcast channel in a multi-antenna multi-user communication system can be achieved by using precoding and adding a regular perturbation to the data vector. The perturbation can be removed by the modulus function, thus…

Information Theory · Computer Science 2008-06-24 Wee Seng Chua , Chau Yuen , Francois Chin