Topic
Multi-user MIMO
About: Multi-user MIMO is a research topic. Over the lifetime, 10265 publications have been published within this topic receiving 227206 citations. The topic is also known as: multi user mimo & MU-MIMO.
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29 Mar 2013
TL;DR: This book introduces the theoretical elements at the basis of various classes of algorithms commonly employed in the physical layer (and, in part, in MAC layer) of wireless communications systems.
Abstract: This book introduces the theoretical elements at the basis of various classes of algorithms commonly employed in the physical layer (and, in part, in MAC layer) of wireless communications systems. It focuses on single user systems, so ignoring multiple access techniques. Moreover, emphasis is put on single-input single-output (SISO) systems, although some relevant topics about multiple-input multiple-output (MIMO) systems are also illustrated.Comprehensive wireless specific guide to algorithmic techniquesProvides a detailed analysis of channel equalization and channel coding for wireless applicationsUnique conceptual approach focusing in single user systemsCovers algebraic decoding, modulation techniques, channel coding and channel equalisation
42 citations
Patent•
18 Jan 2010TL;DR: In this paper, a process for beamforming data to be transmitted in a MU-MIMO communication system comprising a base station and a selected set of user equipments communicating with said base station; said data being precoded by the base station in accordance with a beamforming matrix complying with a precoding matrix under the form of: (formula 1) where M is the number of transmit antennas; D is a diagonal unitary matrix of the form D=diag; P is a permutation matrix interchanging only the last M−1 rows.
Abstract: A process for beamforming data to be transmitted in a MU-MIMO communication system comprising a base station and a selected set of User Equipments (UE) communicating with said base station; said data being precoded by said base station in accordance with a beamforming matrix complying with a precoding matrix under the form of: (formula 1) Where—M is the number of transmit antennas—D is a diagonal unitary matrix of the form D=diag (formula 2)—P is a permutation matrix interchanging only the last M−1 rows. —A is a general Hadamard matrix. and that the signaling information transmitted by the base station to the UE comprises at least a first and a second index which are representative of D, P and A.
42 citations
16 May 2010
TL;DR: This paper focuses on zero-forcing (ZF) MU-MIMO precoding with an explicit channel quantization mechanism called channel vector quantization (CVQ) and considers two different criteria of CVQ at the receiver: either minimizing Euclidean distance or maximizing the signal to interference plus noise power ratio (SINR).
Abstract: We investigate enhanced downlink multiuser multiple input multiple output (MU-MIMO) transmission schemes for 3GPP LTE-Advanced based on system level simulations. As compared to Rel. 8 LTE single user MIMO (SU-MIMO), MU-MIMO has the potential to better exploit the spatial dimension of MIMO channels in some scenarios. Although Rel. 8 LTE defines a simple MU-MIMO mode, more advanced MU-MIMO techniques are currently discussed towards Rel. 10 LTE-Advanced to further improve the spectral efficiency. In this paper, we focus on zero-forcing (ZF) MU-MIMO precoding with an explicit channel quantization mechanism called channel vector quantization (CVQ). Moreover, we consider two different criteria of CVQ at the receiver: either minimizing Euclidean distance or maximizing the signal to interference plus noise power ratio (SINR). A number of system level simulations reveal significant potential gains of ZF MU-MIMO as compared to those of Rel. 8 LTE SU/MU-MIMO in terms of both cell throughput and cell-edge user throughput when the spatial correlations at the base station (eNB) are relatively high. The potential gain of ZF MU-MIMO is shown to be further improved when the CVQ is based on the SINR maximization criterion instead of Euclidean distance minimization.
41 citations
Patent•
24 Jan 2008
TL;DR: High gain, multi-pattern multiple-input multiple-output (MIMO) antenna systems are described in this paper, which provide multiple-polarization and omnidirectional coverage using multiple radios, which may be tuned to the same frequency.
Abstract: High gain, multi-pattern multiple-input multiple-output (MIMO) antenna systems are disclosed These systems provide for multiple-polarization and omnidirectional coverage using multiple radios, which may be tuned to the same frequency The MIMO antenna systems may include multiple high-gain beams arranged (or capable of being arranged) to provide for omnidirectional coverage These systems provide for increased data throughput and reduced interference without sacrificing the benefits related to size and manageability of an associated access point
41 citations
TL;DR: In order to support higher order constellations, this letter presents a smart loading scheme that enables the multiplexing of two 16-QAM signals over the air.
Abstract: MIMO systems have become an indispensable part of modern wireless standards, eg LTE advanced However, in applications with strict energy and size constraints, an alternative MIMO scheme with reduced hardware complexity would be attractive Towards this direction, parasitic antennas with a single feeding port have been proposed to emulate MIMO transmission with PSK signaling In order to support higher order constellations, this letter presents a smart loading scheme that enables the multiplexing of two 16-QAM signals over the air Accompanying simulations show that this can be achieved by using a single feeding port and parasitic antennas
41 citations