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An essential step for achieving multiplexing gain in MIMO downlink systems is to collect accurate channel state information (CSI) from the users. Traditionally, CSIs have to be collected before any data can be transmitted. Such a sequential…

Networking and Internet Architecture · Computer Science 2017-06-01 Zhenzhi Qian , Fei Wu , Zizhan Zheng , Kannan Srinivasan , Ness B. Shroff

In this paper, we investigate a novel reconfigurable distributed antennas and reflecting surface (RDARS) aided multi-user massive MIMO system with imperfect CSI and propose a practical two-timescale (TTS) transceiver design to reduce the…

Information Theory · Computer Science 2023-12-15 Chengzhi Ma , Jintao Wang , Xi Yang , Guanghua Yang , Wei Zhang , Shaodan Ma

The receiver design for multi-input multi-output (MIMO) ultra-reliable and low-latency communication (URLLC) systems can be a tough task due to the use of short channel codes and few pilot symbols. Consequently, error propagation can occur…

Signal Processing · Electrical Eng. & Systems 2024-04-12 Yi Sun , Hong Shen , Bingqing Li , Wei Xu , Pengcheng Zhu , Nan Hu , Chunming Zhao

When operating massive multiple-input multiple-output (MIMO) systems with uplink (UL) and downlink (DL) channels at different frequencies (frequency division duplex (FDD) operation), acquisition of channel state information (CSI) for…

Information Theory · Computer Science 2022-09-23 Florian Euchner , Niklas Süppel , Marc Gauger , Sebastian Dörner , Stephan ten Brink

Unlike the time-division duplexing (TDD) systems, the downlink (DL) and uplink (UL) channels are not reciprocal anymore in the case of frequency-division duplexing (FDD). However, some long-term parameters, e.g. the time delays and angles…

Information Theory · Computer Science 2017-08-02 Xiliang Luo , Penghao Cai , Xiaoyu Zhang , Die Hu , Cong Shen

Channel estimation for the downlink of frequency division duplex (FDD) massive MIMO systems is well known to generate a large overhead as the amount of training generally scales with the number of transmit antennas in a MIMO system. In this…

Signal Processing · Electrical Eng. & Systems 2020-01-23 Francois Rottenberg , Thomas Choi , Peng Luo , Jianzhong Zhang , Andreas F. Molisch

The power consumption of digital-to-analog converters (DACs) constitutes a significant proportion of the total power consumption in a massive multiuser multiple-input multiple-output (MU-MIMO) base station (BS). Using 1-bit DACs can…

Signal Processing · Electrical Eng. & Systems 2019-06-11 Lei Chu , Fei Wen , Lily Li , Robert Qiu

We propose a novel method for user-to-user interference (UUI) mitigation in dynamic time-division duplex multiple-input multiple-output communication systems with multi-antenna users. Specifically, we consider the downlink data transmission…

Signal Processing · Electrical Eng. & Systems 2024-08-08 Martin Andersson , Tung T. Vu , Pål Frenger , Erik G. Larsson

This paper studies the impact of imperfect channel covariance information on the uplink (UL) and downlink (DL) spectral efficiencies (SEs) of a time-division duplexed (TDD) massive multiple-input multiple-output (MIMO) system. We derive…

Information Theory · Computer Science 2019-09-13 A. K. Kocharlakota , K. Upadhya , S. A. Vorobyov

In this work we investigate ultra-reliable low-latency massive multiple-input multiple-output (MIMO) communication links in vehicular scenarios, where coherence between uplink and downlink cannot be assumed. In such scenarios the channel…

Signal Processing · Electrical Eng. & Systems 2019-08-22 Thomas Zemen , David Loeschenbrand

Massive multiple-input multiple-output (MaMIMO) has become an integral part of the fifth-generation (5G) standard, and is envisioned to be further developed in beyond 5G (B5G) networks. With a massive number of antennas at the base station…

Information Theory · Computer Science 2022-11-15 Anup Mishra , Yijie Mao , Christo Kurisummoottil Thomas , Luca Sanguinetti , Bruno Clerckx

Network-controlled repeaters (NCRs) are a low-cost means to extend coverage and strengthen macro diversity in wireless networks. They operate in real time by amplifying and re-transmitting the incoming signal with only hardware-level…

Signal Processing · Electrical Eng. & Systems 2026-04-16 Özlem Tuğfe Demir , Emil Björnson

Massive multiple-input multiple-output (MIMO) system is promising in providing unprecedentedly high data rate. To achieve its full potential, the transceiver needs complete channel state information (CSI) to perform transmit/receive…

Information Theory · Computer Science 2022-02-08 Yu Zhang , Ahmed Alkhateeb , Pranav Madadi , Jeongho Jeon , Joonyoung Cho , Charlie Zhang

We propose a method for channel training and precoding in FDD massive MIMO based on deep neural networks (DNNs), exploiting Downlink (DL) channel covariance knowledge. The DNN is optimized to maximize the DL multi-user sum-rate, by…

Information Theory · Computer Science 2023-03-21 Yi Song , Tianyu Yang , Mahdi Barzegar Khalilsarai , Giuseppe Caire

We consider efficient communications over the multiple-input multiple-output (MIMO) multiway distributed relay channel (MDRC) with full data exchange, where each user, equipped with multiple antennas, broadcasts its message to all the other…

Information Theory · Computer Science 2016-12-28 Xiang Zhao , Jianwen Zhang , Yingjun Zhang , Xiaojun Yuan

In this paper, we investigate the downlink throughput performance of a massive multiple-input multiple-output (MIMO) system that employs superimposed pilots for channel estimation. The component of downlink (DL) interference that results…

Information Theory · Computer Science 2019-04-16 Karthik Upadhya , Sergiy A. Vorobyov , Mikko Vehkapera

Extra large-scale multiple-input multiple-output (XL-MIMO) is a key technology for future wireless communication systems. This paper considers the effects of visibility region (VR) at the base station (BS) in a non-stationary multi-user…

Information Theory · Computer Science 2024-05-31 Jun Zhang , Jiacheng Lu , Jingjing Zhang , Yu Han , Jue Wang , Shi Jin

In this paper, we consider secure downlink transmission in a multi-cell massive multiple-input multiple-output (MIMO) system where the numbers of base station (BS) antennas, mobile terminals, and eavesdropper antennas are asymptotically…

Information Theory · Computer Science 2016-11-17 Jun Zhu , Robert Schober , Vijay K. Bhargava

This paper investigates multi-stream downlink precoding for massive multiple-input multiple-output low-Earthorbit satellite (SAT) communication systems. We adopt a delay and Doppler precompensation approach to achieve coherent transmission.…

Signal Processing · Electrical Eng. & Systems 2026-05-07 Hangsong Yan , Alexei Ashikhmin , Hong Yang , Bin Song , Shu Sun

In frequency division duplex (FDD) multiple-input multiple-output (MIMO) wireless communication systems, the acquisition of downlink channel state information (CSI) is essential for maximizing spatial resource utilization and improving…

Signal Processing · Electrical Eng. & Systems 2025-04-16 Yiran Guo , Wei Chen , Bo Ai
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