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Algorithms for Massive MIMO uplink detection typically rely on a centralized approach, by which baseband data from all antennas modules are routed to a central node in order to be processed. In case of Massive MIMO, where hundreds or…

Signal Processing · Electrical Eng. & Systems 2018-08-29 Jesus Rodriguez Sanchez , Fredrik Rusek , Muris Sarajlic , Ove Edfors , Liang Liu

We derive novel bounds for the performance of algorithms that estimate the downlink covariance matrix from the uplink covariance matrix in frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems. The focus is…

Signal Processing · Electrical Eng. & Systems 2018-08-02 Renato Luis Garrido Cavalcante , Lorenzo Miretti , Slawomir Stanczak

This paper proposes a model-driven deep learning-based downlink channel reconstruction scheme for frequency division duplexing (FDD) massive multi-input multi-output (MIMO) systems. The spatial non-stationarity, which is the key feature of…

Information Theory · Computer Science 2020-02-25 Yu Han , Mengyuan Li , Shi Jin , Chao-Kai Wen , Xiaoli Ma

The performance of downlink massive multiple-input-multiple-output networks with co-channel device-to-device communications is investigated in this paper. Specifically, we consider a cellular network with sufficient number of antennas at…

Information Theory · Computer Science 2019-04-18 Zezhong Zhang , Zehua Zhou , Rui Wang , Yang Li

This paper considers the downlink of a single-cell massive MIMO (multiple-input multiple-output) system with dual-polarized antennas at both the base station and users. We consider a channel model that takes into account several practical…

Information Theory · Computer Science 2022-06-17 Özgecan Özdogan , Emil Björnson

The practical implementation of maximum likelihood detection is limited by its high complexity as well as requiring perfect channel state information. Although conventional blind detection techniques reduce complexity, they degrade…

Signal Processing · Electrical Eng. & Systems 2019-09-12 M. A. Amirabadi

In this paper, we study the beamforming design problem in frequency-division duplexing (FDD) downlink massive MIMO systems, where instantaneous channel state information (CSI) is assumed to be unavailable at the base station (BS). We…

Information Theory · Computer Science 2020-03-09 Hang Liu , Xiaojun Yuan , Ying Jun , Zhang

A massive MIMO system entails a large number of base station antennas M serving a much smaller number of users. This leads to large gains in spectral and energy efficiency compared with other technologies. As the number of antennas M grows,…

Information Theory · Computer Science 2018-07-13 Ansuman Adhikary , Alexei Ashikhmin

Artificial intelligence (AI) based downlink channel state information (CSI) prediction for frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems has attracted growing attention recently. However, existing…

Information Theory · Computer Science 2020-09-08 Yuwen Yang , Feifei Gao , Zhimeng Zhong , Bo Ai , Ahmed Alkhateeb

Multiple transmit antennas in a downlink channel can provide tremendous capacity (i.e. multiplexing) gains, even when receivers have only single antennas. However, receiver and transmitter channel state information is generally required. In…

Information Theory · Computer Science 2011-11-09 Nihar Jindal

Multiple Input Multiple Output (MIMO) technology is going to be a viable alternative for future generation wireless broadband services in order to meet the striving requirements for throughput and system robustness. In Long Term Evolution…

Networking and Internet Architecture · Computer Science 2011-11-08 Sunil Joshi , Deepak Gupta

In this paper, we investigate the blind channel estimation problem for MIMO systems under Rayleigh fading channel. Conventional MIMO communication techniques require transmitting a considerable amount of training symbols as pilots in each…

Signal Processing · Electrical Eng. & Systems 2021-11-17 Jiancheng Tang , Qianqian Yang , Zhaoyang Zhang

In conventional multi-user multiple-input multiple-output (MU-MIMO) systems with frequency division duplexing (FDD), channel acquisition and precoder optimization processes have been designed separately although they are highly coupled.…

Information Theory · Computer Science 2022-09-22 Jeonghyeon Jang , Hoon Lee , Il-Min Kim , Inkyu Lee

This letter focuses on the pilot contamination problem in the uplink and downlink of cell-free massive multiple-input multiple-output networks with different degrees of cooperation between access points. The optimum minimum mean square…

Information Theory · Computer Science 2021-10-06 Alberto Alvarez Polegre , Luca Sanguinetti , Ana Garcia Armada

In this paper, we investigate secure and reliable transmission strategies for multi-cell multi-user massive multiple-input multiple-output (MIMO) systems in the presence of an active eavesdropper. We consider a time-division duplex system…

Information Theory · Computer Science 2015-05-07 Yongpeng Wu , Robert Schober , Derrick Wing Kwan Ng , Chengshan Xiao , Giuseppe Caire

In frequency-division duplexing systems, the downlink channel state information (CSI) acquisition scheme leads to high training and feedback overheads. In this paper, we propose an uplink-aided downlink channel acquisition framework using…

Information Theory · Computer Science 2024-10-28 Jiajia Guo , Chao-Kai Wen , Shi Jin

This paper proposes novel pilot optimization and channel estimation algorithm for the downlink multiuser massive multiple input multiple output (MIMO) system with $K$ decentralized single antenna mobile stations (MSs), and time division…

Applications · Statistics 2014-02-07 Tadilo Endeshaw Bogale , Long Bao Le

This paper considers a single-cell massive MIMO (multiple-input multiple-output) system with dual-polarized antennas at both the base station and users. We study a channel model that includes the key practical aspects that arise when…

Information Theory · Computer Science 2022-09-21 Özgecan Özdogan , Emil Björnson

Fifth generation networks will incorporate a variety of new features in wireless networks such as data offloading, D2D communication, and Massive MIMO. Massive MIMO is specially appealing since it achieves huge gains while enabling simple…

Information Theory · Computer Science 2015-06-12 Salah Eddine Hajri , Mohamad Assaad

This paper presents an energy-efficient downlink precoding scheme with the objective of maximizing system energy efficiency in a multi-cell massive MIMO system. The proposed precoding design jointly considers the issues of power control,…

Networking and Internet Architecture · Computer Science 2018-12-27 Shuai Zhang , Lu Liu , Yu Cheng , Xianghui Cao , Sheng Zhou , Zhisheng Niu , Hangguan Shan
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