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Related papers: Fronthaul Quantization-Aware MU-MIMO Precoding for…

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In this paper, we propose network massive multiple- input multiple-output (MIMO) systems, where three radio units (RUs) connected via one digital unit (DU) support multiple user equipments (UEs) at a cell-boundary through the same radio…

Information Theory · Computer Science 2012-09-20 Changwoo Lee , Chan-Byoung Chae , Taehyung Kim , Sooyong Choi , Juho Lee

We consider a linear precoder design for an underlay cognitive radio multiple-input multiple-output broadcast channel, where the secondary system consisting of a secondary base-station (BS) and a group of secondary users (SUs) is allowed to…

Information Theory · Computer Science 2016-11-17 Van-Dinh Nguyen , Le-Nam Tran , Trung Q. Duong , Oh-Soon Shin , Ronan Farrell

We consider the uplink of a cloud radio access network (C-RAN), where massive MIMO remote radio heads (RRHs) serve as relays between users and a centralized baseband unit (BBU). Although employing massive MIMO at RRHs can improve the…

Information Theory · Computer Science 2019-05-01 An Liu , Xihan Chen , Wei Yu , Vincent Lau , Min-Jian Zhao

We study the problem of uplink compression for cell-free multi-input multi-output networks with limited fronthaul capacity. In compress-forward mode, remote radio heads (RRHs) compress the received signal and forward it to a central unit…

Information Theory · Computer Science 2025-06-16 Zehua Li , Jingjie Wei , Raviraj Adve

In this paper, we consider the uplink channel estimation phase and downlink data transmission phase of cell-free millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems with low-capacity fronthaul links and…

Information Theory · Computer Science 2022-11-01 In-soo Kim , Mehdi Bennis , Junil Choi

In this paper, we study the interference exploitation precoding for the scenario where the number of streams simultaneously transmitted by the base station (BS) is larger than that of transmit antennas at the BS, and derive the optimal…

Signal Processing · Electrical Eng. & Systems 2019-01-15 Ang Li , Christos Masouros , Yonghui Li , Branka Vucetic

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

This paper proposed new hybrid, analog-digital, beamforming for a multiuser millimeter wave (mm-wave) relay system. For this system, we consider a sum rate maximization problem. The proposed hybrid beamforming is designed indirectly by…

Information Theory · Computer Science 2016-11-17 Xuan Xue , Tadilo Endeshaw Bogale , Xianbin Wang , Yongchao Wang , Long Bao Le

This paper considers coordinated linear precoding for rate optimization in downlink multicell, multiuser orthogonal frequency- division multiple access networks. We focus on two different design criteria. In the first, the weighted sum-rate…

Information Theory · Computer Science 2015-06-17 Mirza Golam Kibria , Hidekazu Murata

Relay-aided transmission is envisioned as a key strategy to combat severe path loss and link blockages emerging as unique challenges in millimeter-wave (mmWave) communications. This work considers a relay-aided multiuser mmWave…

Information Theory · Computer Science 2020-03-09 Ahmet Zahid Yalcin , Yavuz Yapici

With the evolution of multiple-input multiple-output (MIMO) technology toward extremely large (XL) MIMO systems comprising hundreds of, or more, antennas, this work investigates scalable and fronthaul-efficient reception design for the…

Signal Processing · Electrical Eng. & Systems 2026-04-24 Dogon Kim , Hyunmin Noh , Seok-Hwan Park

This paper investigates the sum spectral efficiency maximization problem in downlink multiuser multiple-input multiple-output (MIMO) systems with low-resolution quantizers at an access point (AP) and users. In particular, we consider…

Information Theory · Computer Science 2022-08-02 Seokjun Park , Jinseok Choi , Jeonghun Park , Wonjae Shin , Bruno Clerckx

Signal-to-leakage-and-noise ratio (SLNR) is a promising criterion for linear precoder design in multi-user (MU) multiple-input multiple-output (MIMO) systems. It decouples the precoder design problem and makes closed-form solution…

Information Theory · Computer Science 2010-08-05 Peng Cheng , Meixia Tao , Wenjun Zhang

In general, the zero-forcing (ZF) precoding suffers from a severe receive signal-to-noise ratio (SNR) degradation in the high interference regime. However, recent evidences from realistic measurements demonstrated that millimeter wave…

Information Theory · Computer Science 2019-01-31 Naveed Iqbal , Waqas Ahmad , Christian Schneider , Reiner S. Thomä

Distributed Multiple-Input and Multiple-Output (D-MIMO) is envisioned to play a significant role in future wireless communication systems as an effective means to improve coverage and capacity. In this paper, we have studied the impact of a…

Signal Processing · Electrical Eng. & Systems 2024-05-31 Jale Sadreddini , Omer Haliloglu , Andres Reial

In the present work, a multibeam satellite that employs aggressive frequency reuse towards increasing the offered throughput is considered. Focusing on the forward link, the goal is to employ multi-antenna signal processing techniques,…

Information Theory · Computer Science 2016-11-17 Dimitrios Christopoulos , Symeon Chatzinotas , Bjorn Ottersten

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

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

In this paper, we investigate the downlink multiple-input-multipleoutput (MIMO) broadcast channels in which a base transceiver station (BTS) broadcasts multiple data streams to K MIMO mobile stations (MSs) simultaneously. In order to…

Information Theory · Computer Science 2015-08-06 Tung T. Vu , Ha Hoang Kha , Trung Q. Duong , Nguyen-Son Vo

Massive multiple-input multiple-output (MIMO) systems achieve high sum spectral efficiency by offering an order of magnitude increase in multiplexing gains. In time division duplexing systems, however, the reuse of uplink training pilots…

Information Theory · Computer Science 2016-10-14 Ahmed Alkhateeb , Geert Leus , Robert W. Heath