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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22 Apr 2007
TL;DR: This paper addresses the performance of spatial division multiplexing (SDM) multiple-input multiple-output (MIMO) techniques together with frequency domain packet scheduling (FDPS) based on UTRAN long term evolution (LTE) downlink.
Abstract: This paper addresses the performance of spatial division multiplexing (SDM) multiple-input multiple-output (MIMO) techniques together with frequency domain packet scheduling (FDPS) based on UTRAN long term evolution (LTE) downlink. Two SDM concepts currently considered in 3GPP are the single-user (SU-) and the multi-user (MU-) MIMO. For MU-MIMO, multiple users can be scheduled on different streams on the same time-frequency resource, while SU-MIMO restricts one time-frequency resource to a single user. Both concepts are analyzed against the 1times2 maximal ratio combining (MRC) case, using the proportional fair (PF) criterion extended to frequency and spatial domains. The realistic finite buffer best effort traffic model is used in the study. Results show that in the macrocell scenario, the combination of FDPS and SDM (SDM-FDPS) without preceding achieves only marginal gain in cell throughput, due to limited SINR dynamic range. The gain is increased to around 20% when precoding is applied. In the micro-cell scenario, the gain of SDM-FDPS over the reference scheme is increased up to 35% with precoding.
51 citations
TL;DR: A novel method realizing multi-input-multi-output (MIMO) transmission in near-field magnetic induction (NFMI) communication for increasing channel capacity where limited capacity is a major bottleneck problem in magnetic communication systems is proposed.
Abstract: In this paper, we propose a novel method realizing multi-input–multi-output (MIMO) transmission in near-field magnetic induction (NFMI) communication for increasing channel capacity where limited capacity is a major bottleneck problem in magnetic communication systems. Since conventional magnetic communication systems using the same antenna patterns cannot easily implement MIMO transmission due to strong crosstalk between transmitters, we propose heterogeneous antenna arrays with multipole antennas, enabling crosstalk cancellation. We confirm the crosstalk cancellation of the proposed antenna array through numerical simulations and experiments, and verify the capacity enhancement of the proposed NFMI communication system over conventional NFMI communication schemes.
51 citations
Patent•
AT&T1
TL;DR: In this article, switching between and/or combining various multi-transceiver wireless communication techniques based on a determined characteristic of a network or a wireless link is described, and a comparison of the characteristic and the thresholds is made.
Abstract: Switching between and/or combining various multi-transceiver wireless communication techniques based on a determined characteristic of a network or a wireless link is described herein. As an example, a characteristic such as signal to noise ratio (SNR), multi-path scattering, available bandwidth, or the like, can be determined. The characteristic can then be compared with suitable thresholds for various multi-transceiver communication techniques, such as MIMO, multi-channel concatenation, channel diversity, and so on. Based on a comparison of the characteristic and the thresholds, a suitable multi-transceiver technique can be selected and implemented for the wireless link Accordingly, a network can provide increased data rates and/or channel quality from a multi-transceiver technique that is most suited to prevailing conditions of the wireless network/link.
51 citations
Patent•
28 Dec 2009
TL;DR: In this paper, the optimal diversity combining weight information that optimizes a diversity reception state at each antenna group A 1, A 2,..., A P through two-way training signal transfer between the wireless communication devices A and B was determined.
Abstract: The wireless communication devices A and B determine the optimal diversity combining weight information that optimizes a diversity reception state at each antenna group A 1 , A 2 , . . . , A P through two-way training signal transfer between the wireless communication devices A and B. This optimal diversity combining weight information is set to each antenna of each antenna group A 1 , A 2 , . . . , A P . Wireless communication units A′, B′ perform spacial mapping of signals from antenna group A 1 , A 2 , . . . , A P using MIMO technology. Communication area can be enlarged by hierarchization MIMO using the optimal diversity combining weight information.
51 citations
30 Aug 2004
TL;DR: Analysis of analytical expressions for the capacity of single-user multi-antenna channels, known instantaneously by both transmitter and receiver, at moderate and high signal-to-noise ratios, finds the capacity is tightly bounded for fixed numbers of antennas with compact closed-form expressions.
Abstract: This paper presents analytical expressions for the capacity of single-user multi-antenna channels, known instantaneously by both transmitter and receiver, at moderate and high signal-to-noise ratios. Fading channels with both uncorrelated and correlated antennas are encompassed. The characterization is conducted primarily in the limit of large numbers of antennas, with accompanying examples that illustrate the validity of the results for even small numbers thereof. In the absence of correlation, the capacity is also tightly bounded for fixed numbers of antennas with compact closed-form expressions.
51 citations