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This letter considers the development of transmission strategies for the downlink of massive multiple-input multiple-output networks, with the objective of minimizing the completion time of the transmission. Specifically, we introduce a…

Information Theory · Computer Science 2022-05-12 Tung T. Vu , Hien Quoc Ngo , Minh N. Dao , Michail Matthaiou , Erik G. Larsson

This paper proposes a deep learning approach to channel sensing and downlink hybrid beamforming for massive multiple-input multiple-output systems operating in the time division duplex mode and employing either single-carrier or…

Information Theory · Computer Science 2022-06-30 Kareem M. Attiah , Foad Sohrabi , Wei Yu

The knowledge of the downlink (DL) channel spatial covariance matrix at the BS is of fundamental importance for large-scale array systems operating in frequency division duplexing (FDD) mode. In particular, this knowledge plays a key role…

Signal Processing · Electrical Eng. & Systems 2019-10-25 Lorenzo Miretti , Renato L. G. Cavalcante , Slawomir Stanczak

This paper considers a multi-cell multiple antenna system with precoding used at the base stations for downlink transmission. For precoding at the base stations, channel state information (CSI) is essential at the base stations. A popular…

Information Theory · Computer Science 2010-07-01 Jubin Jose , Alexei Ashikhmin , Thomas L. Marzetta , Sriram Vishwanath

Massive MIMO is a promising technique to meet the exponential growth of global mobile data traffic demand. However, contrary to the current systems, energy consumption of next generation networks is required to be load adaptive as the…

Networking and Internet Architecture · Computer Science 2015-10-05 M. M. Aftab Hossain , Cicek Cavdar , Emil Björnson , Riku Jäntti

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

Downlink channel estimation in massive MIMO systems is well known to generate a large overhead in frequency division duplex (FDD) mode as the amount of training generally scales with the number of transmit antennas. Using instead an…

Information Theory · Computer Science 2019-02-20 François Rottenberg , Rui Wang , Jianzhong Zhang , Andreas F. Molisch

Massive multiple-input multiple-output (MIMO) systems are cellular networks where the base stations (BSs) are equipped with unconventionally many antennas. Such large antenna arrays offer huge spatial degrees-of-freedom for transmission…

Information Theory · Computer Science 2014-03-20 Emil Björnson , Michail Matthaiou , Mérouane Debbah

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

This paper addresses the problem of uplink and downlink channel estimation in FDD Massive MIMO systems. By utilizing sparse recovery and compressive sensing algorithms, we are able to improve the accuracy of the uplink/downlink channel…

Information Theory · Computer Science 2018-06-01 Yacong Ding , Bhaskar D. Rao

Cell-free system where a group of base stations (BSs) cooperatively serves users has received much attention as a promising technology for the future wireless systems. In order to maximize the cooperation gain in the cell-free systems,…

Information Theory · Computer Science 2019-09-17 Seungnyun Kim , Jun Won Choi , Byonghyo Shim

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

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

In this paper, we study the design of secure communication for time division duplex multi-cell multi-user massive multiple-input multiple-output (MIMO) systems with active eavesdropping. We assume that the eavesdropper actively attacks the…

Information Theory · Computer Science 2019-03-27 Yongpeng Wu , Chao-Kai Wen , Wen Chen , Shi Jin , Robert Schober , Giuseppe Caire

We consider the massive MIMO downlink with time-division duplex (TDD) operation and conjugate beamforming transmission. To reliably decode the desired signals, the users need to know the effective channel gain. In this paper, we propose a…

Information Theory · Computer Science 2015-04-01 Hien Quoc Ngo , Erik G. Larsson

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

In this paper, we analyze the performance of the uplink communication of massive multi-cell multiple-input multiple-output (MIMO) systems under the effects of pilot contamination and delayed channels because of terminal mobility. The base…

Information Theory · Computer Science 2016-11-17 Anastasios K. Papazafeiropoulos , Hien Quoc Ngo , Tharm Ratnarajah

This work focuses on the downlink communication of a multiuser MIMO system where the base station antennas and the users' receiving antennas are all active, but at each transmission, only a subset of the receive antennas is selected by the…

Signal Processing · Electrical Eng. & Systems 2018-03-21 Azucena Duarte , Raimundo Sampaio-Neto

To get channel state information (CSI) at a base station (BS), most of researches on massive multiple-input multiple-output (MIMO) systems consider time division duplexing (TDD) to get benefit from the uplink and downlink channel…

Information Theory · Computer Science 2022-06-28 Hyeongtaek Lee , Hyuckjin Choi , Hwanjin Kim , Sucheol Kim , Chulhee Jang , Yongyun Choi , Junil Choi

In order to achieve reliable communication with a high data rate of massive multiple-input multiple-output (MIMO) systems in frequency division duplex (FDD) mode, the estimated channel state information (CSI) at the receiver needs to be fed…

Information Theory · Computer Science 2021-12-14 J. Guo , L. Wang , F. Li , J. Xue
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