Results 161 to 170 of about 7,184 (178)

MU-MIMO Pairing Algorithm Using Received Power

IEICE Transactions on Communications, 2009
In this letter, a new received power pairing scheduling (PPS) algorithm is proposed for Multi User Multiple Input and Multiple Output (MU-MIMO) systems. In contrast to existing algorithms that manage complex orthogonal factors, the PPS algorithm simply utilizes CINR to determine a MU-MIMO pair. Simulation results show that the PPS algorithm achieves up
Young-Joon KIM, Jung-Seung LEE, Doo-Kwon BAIK   +2 more
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A Grouped Precoding in MU-MIMO Downlink

2008 IEEE 10th International Symposium on Spread Spectrum Techniques and Applications, 2008
Based on the nature of multi-user multiple-input multiple-output (MIMO) system, a novel downlink Grouped-Joint Transmission (GJT) precoding algorithm is put forward by using grouping technique. In the proposed algorithm, users and their corresponding transmitting signals are partitioned into G groups before been transmitted.
null Yang Shi, null Xian-Zhong Xie, null Xi Wang   +2 more
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Predicting Channel Transition for MU-MIMO Beamforming

2018 IEEE 5G World Forum (5GWF), 2018
Legacy beamforming procedure for multiuser MIMO (MU-MIMO) requires periodic explicit feedback mechanism for channel estimation resulting in high control overhead with increasing number of users. Often, these procedures are redundant, especially if the channel remains static between two successive measurements.
Tejashri Kuber, Dola Saha, Ivan Seskar
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MU-MIMO Decomposition Transmission with Limited Feedback

2007 IEEE Wireless Communications and Networking Conference, 2007
Downlink multi-user multiple-input multiple-output (MU-MIMO) transmission techniques have gained much attention recently because of their potential to significantly increase system capacity compared to single-user transmission by separating multiple users in the space domain through appropriate signal processing. Unfortunately, these techniques require
Cheng Wang, Ross D. Murch
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Scalable user selection for MU-MIMO networks

IEEE INFOCOM 2014 - IEEE Conference on Computer Communications, 2014
In a multi-user MIMO (MU-MIMO) network, an AP with M antennas can only serve up to M users out of a large user population. The M users’ rates are inter-coupled and depend on their channel orthogonality. Substantial theoretical studies focused on selecting users to maximize capacity, but they require feedback of channel state information (CSI) from all ...
Xiufeng Xie, Xinyu Zhang
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System performance of PMI-based MU-MIMO

2012 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012
Single-user multi-antenna technologies are well supported in current standard specifications like LTE Release 8. To meet the IMT-Advanced performance requirements, multi-user MIMO is an attractive technology which could improve cell average spectral efficiency in some scenarios by serving multiuser simultaneously on the same frequency resource. In this
Yingpei Huang, Kai Niu, Wenjun Xu
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Fairness and Delay in MU-MIMO WLANs

2008 5th IEEE Consumer Communications and Networking Conference, 2008
In this paper, single-user (SU) and multi-user (MU) transmission approaches in multiple input-multiple output (MIMO) wireless local area networks (WLANs) are compared. The impact of the transmission strategy on both short-term and long-term fairness and frame delay distribution is studied.
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Implementation of MU-MIMO schedulers on SoC

2015 49th Asilomar Conference on Signals, Systems and Computers, 2015
To avail the benefits of a multi-antenna system, multi-user (MU) multiple-input multiple-output (MIMO) systems multiplex different user data streams spatially over time- frequency resources. However, serving dozens of users with spatial multiplexing increases the scheduler complexity significantly.
Juntti Markku, Venkatraman Ganesh, Janhunen Janne Juhani   +2 more
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Deep Unfolding in Multicell MU-MIMO

2022 30th European Signal Processing Conference (EUSIPCO), 2022
Lukas Schynol, Marius Pesavento
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Networking with massive MU-MIMO base stations

Proceedings of the 4th workshop on All things cellular: operations, applications, & challenges, 2014
Information theory has shown tremendous benefits in net- work capacity and energy efficiency by using a large number of antennas on base stations to implement MU-MIMO tech- nologies. We have recently prototyped two generations of MU-MIMO many-antenna base station.
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