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Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …
position in providing Internet access thanks to their freedom of deployment and configuration …
[HTML][HTML] A survey of Wi-Fi 6: Technologies, advances, and challenges
Wi-Fi is a popular wireless technology and is continuously extended to keep pace with
requirements such as high throughput, real-time communication, dense networks, or …
requirements such as high throughput, real-time communication, dense networks, or …
Spectral efficiency analysis for massive MIMO system under QoS constraint: an effective capacity perspective
L Chen, L Zhang - Mobile Networks and Applications, 2021 - Springer
In massive multiple-input multiple-output (MIMO) systems, dozens of mobile users can
simultaneously receive signals from one base station. To obtain maximum spectral efficiency …
simultaneously receive signals from one base station. To obtain maximum spectral efficiency …
Joint radio resource management and link adaptation for multicasting 802.11 ax-based wlan systems
Adopting OFDMA and MU-MIMO techniques for both downlink and uplink IEEE 802.11 ax
will help next-generation WLANs efficiently cope with large numbers of devices but will also …
will help next-generation WLANs efficiently cope with large numbers of devices but will also …
Federated spatial reuse optimization in next-generation decentralized ieee 802.11 WLANs
As wireless standards evolve, more complex functionalities are introduced to address the
increasing requirements in terms of throughput, latency, security, and efficiency. To unleash …
increasing requirements in terms of throughput, latency, security, and efficiency. To unleash …
Towards more reliable deep learning-based link adaptation for WiFi 6
The problem of selecting the modulation and coding scheme (MCS) that maximizes the
system throughput, known as link adaptation, has been investigated extensively, especially …
system throughput, known as link adaptation, has been investigated extensively, especially …
Implementation and evaluation of ieee 802.11 ax channel sounding frame exchange in ns-3
To enable extremely high throughput in wireless local area networks (WLANs), new features
including Multi-User Multiple-Input Multiple-Output (MU-MIMO), beamforming techniques …
including Multi-User Multiple-Input Multiple-Output (MU-MIMO), beamforming techniques …
A deep Q-network approach to optimize spatial reuse in WiFi networks
The proliferation of IEEE 802.11 or WiFi networks, and the explosive growth in traffic
demands call for solutions to maximize the capacity of WiFi networks. Hence, maximizing the …
demands call for solutions to maximize the capacity of WiFi networks. Hence, maximizing the …
Exploring Reinforcement Learning for Scheduling in Cellular Networks†.
O Gurewitz, N Gradus, E Biton… - Mathematics (2227 …, 2024 - search.ebscohost.com
Cellular network scheduling is crucial for wireless deployments like 4G, 5G, and 6G and is a
challenging resource allocation task performed by the scheduler located at the base …
challenging resource allocation task performed by the scheduler located at the base …
Adaptive multi-user uplink resource allocation based on access delay analysis in IEEE 802.11 ax
M Peng, Q Yin, K Zhang, C Kai - Wireless Networks, 2023 - Springer
Abstract In IEEE 802.11 ax, orthogonal frequency division multiple access (OFDMA) is
introduced in the uplink for multi-user transmission. The uplink resource units (RUs) can be …
introduced in the uplink for multi-user transmission. The uplink resource units (RUs) can be …