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2 edition of Precoding and beamforming for multi-input multi-output downlink channels. found in the catalog.

Precoding and beamforming for multi-input multi-output downlink channels.

Roya Doostnejad

Precoding and beamforming for multi-input multi-output downlink channels.

by Roya Doostnejad

  • 35 Want to read
  • 38 Currently reading

Published .
Written in English


About the Edition

This dissertation presents preceding and beamforming schemes for multi-user wireless downlink channels when multiple antennas are employed at both the transmitter and the receivers. In the first part of the thesis, we will discuss transmitter processing without channel information which is applicable in both flat and frequency selective (when orthogonal frequency-division multiplexing (OFDM) is applied) fading channels. This leads to methods for designing signature matrices for transmitters that use any combination of the spatial, temporal and frequency dimensions, with good performance provided by low-complexity receivers. In the rest of the thesis, we pose the problem when the channels between the base station and each user are known perfectly at the base station. A non-linear preceding scheme is designed to minimize the mean-squared error between the transmitted and received data with a per-user power constraint. We also develop methods that are able to provide user-specific signal-to-interference-noise ratios (SINRs) with minimal total transmit power, through the extension of a so-called uplink-downlink duality result. Our study indicates that channel knowledge at the transmitter leads to substantial reductions in required power for providing given levels of SINRs to users.

The Physical Object
Pagination145 leaves.
Number of Pages145
ID Numbers
Open LibraryOL21302792M
ISBN 100494076410

  "Multi-user MIMO downlink precoding for users with multiple antennas." Proc. of the th Meeting of the Wireless World Research Forum (WWRF), Toronto, ON, Canada. Vol. [2] Spencer, Quentin H., and Martin Haardt. "Capacity and downlink transmission algorithms for a multi-user MIMO channel." Signals, Systems and Computers,   Precoding methods at the Base Station (BS) can be used to deal with the inter-cell interference and improve the signal quality of the user especially at the cell edge. In this paper, a novel Zero-Forcing (ZF) precoding method is proposed and investigated for multi-cell Multi-Input Multi-Output (MIMO) : Wen Zhou, Yongquan Jiang, Lisheng Fan.

  The channel estimation must be implemented in the right way (i.e., exploiting uplink pilots and channel reciprocity) to obtain sufficiently accurate channel state information (CSI) to perform spatial multiplexing of many users, otherwise the inter-user interference will eliminate most of the gains. ac Multi-User MIMO Precoding with WINNER II Channel Model The transmit and receive processing for a ac™ multi-user downlink transmission over a WINNER II fading channel. To run this example, you need the WLAN Toolbox™ and the WINNER II Channel annel: Filter input signal through MIMO multipath fading channel.

Joint Precoding and Beamforming Design for the Downlink In a Multiuser MIMO System. missions and hence decouples the multiuser channel into multiple independent single-user sub-channels. Therefore, ZF schemes have been studied extensively in multiuser sys-tems. While for multiuser multiple-input single-output (MISO) downlink (each user equipped with a single antenna) the channel inversion is known as ZF precoding, this has.


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Precoding and beamforming for multi-input multi-output downlink channels by Roya Doostnejad Download PDF EPUB FB2

Precoding and Beamforming for Multi-Input Multi-Output Downlink Channels Roya Doostnejad Doctor of Philosophy, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Abstract This dissertation presents precoding and beamforming schemes for multi-user wireless.

Assuming perfect channel knowledge at the transmitter, we study space-time beamforming for the downlink in a multiuser multi-input multi-output (MIMO) channel while a nonlinear interference pre. Usually, instantaneous channel information is required by the transmitter for the precoding in multi-input multi-output interference channels.

In the case of fast fading channels, the resultant additional overhead of the system will be high. Against this, this study considers the scenario where the channel is spatially correlated and the transmitter only has the covariance information of the Cited by: 2.

Abstract: The focus of this paper is on multi-user multi-input multi-output transmissions for millimeter-wave systems with a hybrid precoding architecture at the base station. To enable multiuser transmissions, the base station uses a cell-specific codebook of beamforming vectors over an initial beam alignment by: 9.

Sharing global channel information at base stations (BSs) is commonly assumed for downlink multi-cell precoding. In the context of massive multi-input multi-output (MIMO) systems where each BS is equipped with a large number of antennas, sharing instant fading channel coefficients consumes a large amount of resource.

A MMSE Vector Precoding with Block Diagonalization for Multiuser MIMO Downlink Abstract: Block Diagonalization (BD) algorithm is a generalization of channel inversion scheme in multiuser multi-input multi-output (MIMO) broadcast by: 2.

Robust Beamforming for Multibeam Satellite Communication in the Face of Phase Perturbations Xin Zhang, Jingjing Wang, Student Member, IEEE, Chunxiao Jiang, Senior Member, IEEE, Chaoxing Yan, Yong Ren, Senior Member, IEEE and Lajos Hanzo, Fellow, IEEE Abstract—A precoding scheme is proposed for the downlink.

from book Precoding Techniques for Digital Communication Systems (pp) Precoding Techniques for MIMO Channels. Rayleigh multi-input multi-output (MIMO) channels.

The block diagonalization (BD) is a linear precoding technique for multi-user multi-input multi-output (MIMO) broadcast channels, which is able to completely eliminate the multi-user interference (MUI), but it is not computationally efficient. In this paper, we propose the block diagonal Jacket matrix decomposition, which is able not only to extend the conventional block diagonal channel Cited by: Beamforming for Interference Mitigation in MIMO-OFDM In [14], an interference nulling based precoding is examined for MIMO-OFDM insu cient Cyclic Pre x (CP) Where, L and are the number of channel taps and CP lengthFile Size: KB.

Analog beamforming is a special case of digital beamforming where the there are strict requirements on which beamforming coefficients that can be selected. However, the basic physics is the same in both cases: You need an antenna spacing of *wavelength or smaller to achieve sample the spatial domain well enough to avoid “spatial aliasing.

Simulation results show that channel inversion precoding provides lower throughput than that of single user multi-input multi-output (SU-MIMO) at high signal-to-noise ratio (SNR) (>14 dB), due to the SINR mismatch, although the sum-rate of channel inversion precoding is higher than Cited by: 1.

Precoding for Spatial Multiplexing - Precoding with large delay CDD. To make the process and understanding simpler, let's assume that we are only focusing on two antenna case. If it is two antenna case, the block diagram around the Precoding looks as follows.

(TM3 is using this configuration). Introduction. In order to provide higher data rate transmission, technologies exploiting larger antenna arrays are beneficial.The deployment of large antenna arrays at the base station (BS) (massive multi-input multi-output (m-MIMO)) is a promising technique for the five-generation (5G) cellular network; as it provides considerable improvement in both spectral and energy efficiency with Cited by: 3.

Multi-Input Multi-Output System. the spatial dimension to increase system throughput. Bhaskar RaoCenter for Wireless CommunicationsUniversity of California, San Diego ()Linear Precoding in MIMO Wireless Systems 4 / 48File Size: 1MB.

A method of transmitting a precoding matrix in a multi-input, multi-output (MIMO) system is disclosed. In the system, a receiving end determines feedback information by calculating each diagonal sub-matrix of the precoding matrix.

Here, the precoding matrix includes Cited by: application of multi-input multi-output (MIMO) techniques such as beamforming and space time codes have significantly boosted the performance of cooperative communication [6]. In [1], the capacity of a full duplex single antenna relay system has been studied and a cut set bound is introduced as an upper bound on the capacity of the full duplex.

beamforming with a massive multi-input multi-output (MIMO) antenna array. Since mmWave bands have short wavelengths, large antenna arrays can be packed into small form factors [3]. Due to the large antenna arrays of mmWave communi-cations, channel estimation requires a large number of time slots as overhead.

Note that the mmWave channels have. Beamforming White Paper Multiple input multiple output (MIMO) technology is an integral part of 3GPP E-UTRA long term evolution (LTE).

As part of MIMO, beamforming is also used in LTE. This white paper discusses the basics of beamforming and explains the ten downlink and two uplink MIMO transmission modes in LTE Release er d Schulz Jul y File Size: 1MB.

Precoding Matrix Indicator (PMI) definition says as follows and this example is the case described by the underlined parts. For transmission modes 4, 5 and 6, precoding feedback is used for channel dependent codebook based precoding and relies on UEs reporting precoding.

A method implemented in a base station used for a downlink multi-user (MU) multi-input multi-output (MIMO) system is disclosed. The method includes receiving an indication of a quantized matrix from each of a plurality of scheduled user equipments, precoding data streams for the plurality of scheduled user equipments, transmitting the precoded data to the plurality of scheduled user by: O.

El Ayach, R.W. Heath, Jr., S. Rajagopal, Z. Pi, “ Multimode precoding for millimeter wave MIMO systems with multiple antenna sub-arrays, ” IEEE Global Telecommunications Conference, March Select Publications for Multi-user Hybrid Precoding.

Conditional mutual information (CMI) analysis and precoding design for generally correlated wireless multi-hop multi-input multi-output (MIMO) channels are presented in this paper. Although some particular scenarios have been examined in existing publications, this paper investigates a generally correlated transmission system having spatially correlated channel, mutually correlated Cited by: 2.