Emerging technologies for WLAN

Jones, V.K.; Sampath, H.

doi:10.1109/mcom.2015.7060496

Cited by 54 publications

(70 citation statements)

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“…In this section, we consider the proposed MU-MIMO system with MMSE [26] as the precoder. The AP consists of M antennas and K-single antenna user stations that communicate with each other as shown in Fig.…”

Section: System Modelmentioning

confidence: 99%

QoS-based Joint User Selection and Scheduling for MU-MIMO WLANs

Rao¹,

Hency²

2017

JTIT

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Section: System Modelmentioning

confidence: 99%

QoS-based Joint User Selection and Scheduling for MU-MIMO WLANs

Rao¹,

Hency²

2017

JTIT

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“…An extended request-to-send/clear-to-send is proposed and integrated with the explicit compressed feedback. A review of physical layer characteristics is presented in [7]. A testbed based on 802.11n chips is used to evaluate the performance of MU-MIMO.…”

Section: Background and Related Workmentioning

confidence: 99%

Performance Analysis of IEEE 80.11ac Wireless Local Area Networks

Bourawy¹,

Alokap²

2017

International Journal of Advanced Research in Computer and Comm

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Abstract:The introduction of the IEEE 802.11 standard in late 1990s sparked a whole new promising area in wireless communications, allowing computer users to have untethered access to the Internet. Recently, the IEEE 802.11ac amendment for wireless local area networks (WLANs) has been released that achieves very high throughput (VHT) to approximately 6.933 Gbps. Enhancements to the physical and MAC layers are introduced in the IEEE 802.11ac amendment. These enhancements include exploiting wider channel bandwidths, enhancing modulation and coding schemes, using explicit beamforming, and increasing spatial streams along with the breakthrough of multi-user multiinput multi-output (MU-MIMO). This paper presents a performance analysis in terms of throughput of IEEE 802.11ac. Simulation is conducted to examine different features defined in the 802.11ac amendment. We calculate the aggregate system throughput of several proposed simulation scenarios. Results show that 802.11ac system throughput increases with the enhancement of channel size, modulation schemes, and spatial streams.

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“…In the IEEE 802.11 group, the IEEE 802.11ah standard has been developed recently for low-power and long-range operation [9,10]. The main features of IEEE 802.11ah is narrow band transmission and scheduled wake-up operation called target wake time (TWT).…”

Section: Introductionmentioning

confidence: 99%

A Low-Power WLAN Communication Scheme for IoT WLAN Devices Using Wake-Up Receivers

Hong

Kim

2018

Applied Sciences

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Featured Application: IoT devices with wireless LAN (WLAN) communication.Abstract: In this paper, we propose a delay-and power-efficient, multi-user, low-power wireless local area network (WLAN) communication scheme for Internet of Things (IoT) WLAN devices. Extremely low-power operation is one of the key requirements of emerging IoT devices. However, the current duty-cycle-based power saving approach may incur large access delay times owing to the trade-offs between the power consumption and the access delay. In order to reduce this delay and enhance the power-saving performance, wake-up receiver-based schemes have been proposed. However, because wake-up receiver-based schemes do not consider multiuser operation in dense communication environments, large delays are inevitable in the case of multiuser operation. In order to provide extremely low-power operation and under 1-mW standby power with reduced delay, we employed the optimized multiuser transmission scheduling of IEEE 802.11ax in the proposed scheme and proper enhanced distributed channel access (EDCA) parameter settings. This is with the aim to reduce the delay caused by long wake-up times, and to avoid collisions caused by simultaneous transmission in uplink multiuser scenario. By using the proposed scheme, simultaneous IoT communication with multiple mobile IoT devices is possible while providing low-power operation. Simulation results verified the outstanding delay performance of the proposed scheme.

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Emerging technologies for WLAN

Cited by 54 publications

References 0 publications

QoS-based Joint User Selection and Scheduling for MU-MIMO WLANs

QoS-based Joint User Selection and Scheduling for MU-MIMO WLANs

Performance Analysis of IEEE 80.11ac Wireless Local Area Networks

A Low-Power WLAN Communication Scheme for IoT WLAN Devices Using Wake-Up Receivers

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