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Wi-Fi Multi-User MIMO Robustness to Residential Channel Variation

NOV
10
2020
10. NOV 2020

Lecture electronica Conferences > Wireless Congress > Session 1: Wi-Fi

12:05-12:25 h | Virtual

Multi-User MIMO (or MU-MIMO) technique has been a revolutionary feature, introduced in Wi-Fi 5 & 6 (IEEE 802.11ac & 802.11ax) standards, that brought the capability for the Access Point to transmit simultaneously to more than 1 client (Single User MIMO). Since the very beginning, retractors of this technique have been claiming that MU-MIMO does only work under “perfect” conditions, claiming as well MU-MIMO does not bring benefits in real life scenarios. The aim of this paper is to demonstrate real Downlink MU-MIMO benefits under “real life” scenarios. In order to make it comprehensive, this paper will first provide an overview of current Wi-Fi 5 & 6 communication system. We will then focus on the concept of MU-MIMO, which relies on precoder techniques and the assumption of a good knowledge of the channel. We will finally introduce several “real life” scenarios, showing types of motion conditions and how MU-MIMO technique outperforms SU-MIMO transmission. Multiple-input Multiple-Output (MIMO) refers to communication systems where both transmitter and receiver have more than one antenna. The use of multiple antennas at both sides of the link creates a multi-path propagation environment between transmitter and receiver that can be used to significantly improve the system throughput. MU-MIMO exploits spatial diversity in a different way that is not limited by the number of antennas at individual client devices. A MU-MIMO transmitter uses the spatial diversity to send N independent streams up to N independent receivers. Conceptually, one could think of this as a transmission to a receiver with N antennas, with the antennas in different physical locations. MIMO theory tells us that the total downlink throughput in such a case can increase by a factor of N compared to the throughput to a single one-antenna device. Because the client devices are in separate physical locations, the transmitter must apply proper precoding to ensure that each stream does not create interference at the receivers for which it is not intended. Precoding requires knowledge of the channels between the AP and the various STAs. In practice, this information is obtained by sending dedicated training sequences and responses, referred to as “sounding frames” and “sounding feedback”. This paper presents an overview of MU-MIMO technique, applied to Wi-Fi system. With the goal to demonstrate the robustness of MU-MIMO system over regular point to point usage, 10 different downlink practical scenario have been tested in a test house. It has been seen that in all cases, MU-MIMO system outperforms single user scenario. Of course, the gain varies from no motion scenario (103%) to full motion (8%), but it should be enough for retractor to admit that MU-MIMO technique is robust against any type of motion. And by allowing some client to use MU-MIMO approach, other clients in the Wi-Fi ecosystem can take advantage of MU-MIMO technique by having more air-time available to them.

Subjects: Wireless

Speaker: Laurent Pierrugues (ON Semiconductor)

Type: Lecture

Speech: English

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Multi-User MIMO (or MU-MIMO) technique has been a revolutionary feature, introduced in Wi-Fi 5 & 6 (IEEE 802.11ac & 802.11ax) standards, that brought the capability for the Access Point to transmit simultaneously to more than 1 client (Single User MIMO). Since the very beginning, retractors of this technique have been claiming that MU-MIMO does only work under “perfect” conditions, claiming as well MU-MIMO does not bring benefits in real life scenarios. The aim of this paper is to demonstrate real Downlink MU-MIMO benefits under “real life” scenarios. In order to make it comprehensive, this paper will first provide an overview of current Wi-Fi 5 & 6 communication system. We will then focus on the concept of MU-MIMO, which relies on precoder techniques and the assumption of a good knowledge of the channel. We will finally introduce several “real life” scenarios, showing types of motion conditions and how MU-MIMO technique outperforms SU-MIMO transmission. Multiple-input Multiple-Output (MIMO) refers to communication systems where both transmitter and receiver have more than one antenna. The use of multiple antennas at both sides of the link creates a multi-path propagation environment between transmitter and receiver that can be used to significantly improve the system throughput. MU-MIMO exploits spatial diversity in a different way that is not limited by the number of antennas at individual client devices. A MU-MIMO transmitter uses the spatial diversity to send N independent streams up to N independent receivers. Conceptually, one could think of this as a transmission to a receiver with N antennas, with the antennas in different physical locations. MIMO theory tells us that the total downlink throughput in such a case can increase by a factor of N compared to the throughput to a single one-antenna device. Because the client devices are in separate physical locations, the transmitter must apply proper precoding to ensure that each stream does not create interference at the receivers for which it is not intended. Precoding requires knowledge of the channels between the AP and the various STAs. In practice, this information is obtained by sending dedicated training sequences and responses, referred to as “sounding frames” and “sounding feedback”. This paper presents an overview of MU-MIMO technique, applied to Wi-Fi system. With the goal to demonstrate the robustness of MU-MIMO system over regular point to point usage, 10 different downlink practical scenario have been tested in a test house. It has been seen that in all cases, MU-MIMO system outperforms single user scenario. Of course, the gain varies from no motion scenario (103%) to full motion (8%), but it should be enough for retractor to admit that MU-MIMO technique is robust against any type of motion. And by allowing some client to use MU-MIMO approach, other clients in the Wi-Fi ecosystem can take advantage of MU-MIMO technique by having more air-time available to them.

Speaker,
ON Semiconductor

Laurent Pierrugues

Laurent Pierrugues

ON Semiconductor

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Speaker,
ON Semiconductor

Laurent Pierrugues
Laurent Pierrugues

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Nord-West
ICM
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Atrium
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