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A MU-MIMO CQI Estimation Method for MU-MIMO UEs in LTE Systems
2012 IEEE Vehicular Technology Conference (VTC Fall), 2012Abstract—This paper addresses a method to estimate the multi user channel quality indicator (CQI) from the reported rank 1 single user CQI in LTE systems. We investigate the relationship between the multi user CQI and the channel condition. Based on that, we propose an updating mechanism where the estimated multi user CQI is varied according to the ...
Nguyen, Hung Tuan, Kovacs, Istvan
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Proceedings of the 20th annual international conference on Mobile computing and networking, 2014
While the UHF band exhibits superior propagation characteristics compared to other frequency bands used for broadband communications, limited spectral availability in time and space necessitates high spectral efficiency techniques such as Multi-user MIMO (MU-MIMO). In this paper we design and implement the first open MU-MIMO Software-Defined Radio (SDR)
Narendra Anand +2 more
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While the UHF band exhibits superior propagation characteristics compared to other frequency bands used for broadband communications, limited spectral availability in time and space necessitates high spectral efficiency techniques such as Multi-user MIMO (MU-MIMO). In this paper we design and implement the first open MU-MIMO Software-Defined Radio (SDR)
Narendra Anand +2 more
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Implementation of MU-MIMO schedulers on SoC
2015 49th Asilomar Conference on Signals, Systems and Computers, 2015To 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 +2 more
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Capacity of precoding for MU-MIMO systems
2015 International Conference on Information and Communication Technology Convergence (ICTC), 2015Spatial multiplexing have drawn a lot of attention for many years due to their great potential to achieve high throughput of MIMO systems implemented in wireless communication systems. It is well known that in a single user case the capacity scales linearly with the minimum number of transmit and receive antennas.
Taek Keun Lyu, Xin Wang
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Field Measurements of Uplink MU-MIMO
2014 IEEE 79th Vehicular Technology Conference (VTC Spring), 2014Abstract - In order to identify the technology potential of uplink MU-MIMO, Ericsson developed the LTE TDD test bed according to 3GPP Release 8 specification with simplified MMSE receiver and scheduling schemes. The implemented simplified MMSE receiver can significantly reduce the computation complexity with the restriction that the dominant ...
Jinhua Liu +3 more
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2011 IEEE 73rd Vehicular Technology Conference (VTC Spring), 2011
Multi-user MIMO (MU-MIMO) is seen as one of the key technologies for 4G communications systems. A critical factor affecting the throughput gains provided by MU-MIMO is the feedback mechanism that allows the transmitting basestation to periodically receive channel state information (CSI) from mobiles.
Nihar Jindal, Sean A. Ramprashad
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Multi-user MIMO (MU-MIMO) is seen as one of the key technologies for 4G communications systems. A critical factor affecting the throughput gains provided by MU-MIMO is the feedback mechanism that allows the transmitting basestation to periodically receive channel state information (CSI) from mobiles.
Nihar Jindal, Sean A. Ramprashad
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Predicting Channel Transition for MU-MIMO Beamforming
2018 IEEE 5G World Forum (5GWF), 2018Legacy 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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Fairness and Delay in MU-MIMO WLANs
2008 5th IEEE Consumer Communications and Networking Conference, 2008In 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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On eavesdropping attacks and countermeasures for MU-MIMO systems
MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM), 2017MU-MIMO beamforming offers great potential for the AP with multiple antennas to serve multiple receivers concurrently. A key factor to implement the MU-MIMO system is the CSI feedback mechanism. However, it might be exploited by malicious attackers to threaten the transmission security of benign clients.
Xiaoshan Wang +5 more
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