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Accurate and efficient estimation of the high dimensional channels is one of the critical challenges for practical applications of massive multiple-input multiple-output (MIMO). In the context of hybrid analog-digital (HAD) transceivers,…

Information Theory · Computer Science 2022-02-08 Jiabao Gao , Caijun Zhong , Geoffrey Ye Li , Zhaoyang Zhang

In frequency division duplex (FDD) massive MIMO systems, reliable downlink channel estimation is essential for the subsequent data transmission but is realized at the cost of massive pilot overhead due to hundreds of antennas at base…

Signal Processing · Electrical Eng. & Systems 2022-11-01 An Chen , Wenbo Xu , Liyang Lu , Yue Wang

Dynamic metasurface antennas (DMAs) are emerging as a promising technology to enable energy-efficient, large array-based multi-antenna systems. This paper presents a simple channel estimation scheme for the downlink of a multiple-input…

Signal Processing · Electrical Eng. & Systems 2026-03-17 Amarilton L. Magalhães , Fazal E-Asim , André L. F. de Almeida , A. Lee Swindlehurst

We consider downlink (DL) channel estimation for frequency division duplex based massive MIMO systems under the multipath model. Our goal is to provide fast and accurate channel estimation from a small amount of DL training overhead. Prior…

Signal Processing · Electrical Eng. & Systems 2019-10-23 Cheng Qian , Xiao Fu , Nicholas D. Sidiropoulos

We consider a multi-cell frequency-selective fading uplink channel (network MIMO) from K single-antenna user terminals (UTs) to B cooperative base stations (BSs) with M antennas each. The BSs, assumed to be oblivious of the applied…

Information Theory · Computer Science 2015-05-27 Jakob Hoydis , Mari Kobayashi , Merouane Debbah

This paper introduces a new mathematical framework, which is used to derive joint uplink/downlink achievable rate regions for multi-user spatial multiplexing between one base station and multiple terminals. The framework consists of two…

Information Theory · Computer Science 2010-02-03 Patrick Marsch , Peter Rost , Gerhard Fettweis

Decoupling uplink (UL) and downlink (DL) is a new architectural paradigm where DL and UL are not constrained to be associated to the same base station (BS). Building upon this paradigm, the goal of the present paper is to provide lower,…

Information Theory · Computer Science 2016-10-11 Alexis I. Aravanis , Olga Munoz , Antonio Pascual-Iserte , Josep Vidal

In this paper, downlink (DL) precoding and power allocation strategies are identified for a time-division-duplex (TDD) multi-cell multi-user massive Full-Dimension MIMO (FD-MIMO) network. Utilizing channel reciprocity, DL channel state…

Information Theory · Computer Science 2018-09-27 Rubayet Shafin , Lingjia Liu

We propose a deep reinforcement learning (DRL) approach for a full-duplex (FD) transmission that predicts the phase shifts of the reconfigurable intelligent surface (RIS), base station (BS) active beamformers, and the transmit powers to…

Information Theory · Computer Science 2024-06-21 Nancy Nayak , Sheetal Kalyani , Himal A. Suraweera

This letter studies deep learning (DL) approaches to optimize beamforming vectors in downlink multi-user multi-antenna systems that can be universally applied to arbitrarily given transmit power limitation at a base station. We exploit the…

Information Theory · Computer Science 2020-07-10 Junbeom Kim , Hoon Lee , Seung-Eun Hong , Seok-Hwan Park

The paper treats a multiuser relay scenario where multiple user equipments (UEs) have a two-way communication with a common Base Station (BS) in the presence of a buffer-equipped Relay Station (RS). Each of the uplink (UL) and downlink (DL)…

Information Theory · Computer Science 2016-09-23 Rongkuan Liu , Petar Popovski , Gang Wang

This work aims to design the uplink (UL) of a cellular network for maximal energy efficiency (EE). Each base station (BS) is randomly deployed within a given area and is equipped with $M$ antennas to serve $K$ user equipments (UEs). A…

Information Theory · Computer Science 2018-06-25 Andrea Pizzo , Daniel Verenzuela , Luca Sanguinetti , Emil Björnson

In this work we extend the concept of uplink-downlink rate balancing to frequency division duplex (FDD) massive MIMO systems. We consider a base station with large number antennas serving many single antenna users. We first show that any…

Information Theory · Computer Science 2016-05-04 Itsik Bergel , Yona Perets , Shlomo Shamai

Reaping the benefits of multi-antenna communication systems in frequency division duplex (FDD) requires channel state information (CSI) reporting from mobile users to the base station (BS). Over the last decades, the amount of CSI to be…

Information Theory · Computer Science 2025-01-06 Baptiste Chatelier , Vincent Corlay , Matthieu Crussière , Luc Le Magoarou

In-band full-duplex (FD) communications have been optimistically promoted to improve the spectrum utilization in cellular networks. However, the explicit impact of spatial interference, imposed by FD communications, on uplink and downlink…

Information Theory · Computer Science 2015-08-27 Ahmad AlAmmouri , Hesham ElSawy , Osama Amin , Mohamed-Slim Alouini

Wireless cellular networks evolve towards a heterogeneous infrastructure, featuring multiple types of Base Stations (BSs), such as Femto BSs (FBSs) and Macro BSs (MBSs). A wireless device observes multiple points (BSs) through which it can…

Networking and Internet Architecture · Computer Science 2016-11-17 Katerina Smiljkovikj , Petar Popovski , Liljana Gavrilovska

In frequency division duplexing (FDD) cell-free massive MIMO, the acquisition of the channel state information (CSI) is very challenging because of the large overhead required for the training and feedback of the downlink channels of…

Information Theory · Computer Science 2024-01-15 Cheng Zhang , Pengguang Du , Minjie Ding , Yindi Jing , Yongming Huang

Joint optimization of nonlinear precoders and receive filters is studied for both the uplink and downlink in a cellular system. For the uplink, the base transceiver station (BTS) receiver implements successive interference cancellation, and…

Information Theory · Computer Science 2015-10-28 Mingguang Xu , Dongning Guo , Michael L. Honig

The concept of deploying a large number of antennas at the base station, often called massive multiple-input multiple-output (MIMO), has drawn considerable interest because of its potential ability to revolutionize current wireless…

Information Theory · Computer Science 2015-06-17 Junil Choi , David J. Love , Patrick Bidigare

In a time-varying massive multiple-input multipleoutput (MIMO) system, the acquisition of the downlink channel state information at the base station (BS) is a very challenging task due to the prohibitively high overheads associated with…

Information Theory · Computer Science 2021-08-10 Shunbo Zhang , Shun Zhang , Jianpeng Ma , Tian Liu , Octavia A. Dobre
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